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We are looking for a highly skilled Controller who possesses:Proven experience in financial management and accounting. Strong analytical skills and attention to detail. The ability to work collaboratively within a dynamic team environment. Effective communication skills to convey complex financial information clearly. Experience in implementing financial systems and controls. A proactive approach to problem-solving and decision-making.
About the job
RETHINK MANUFACTURING
Join us at Bright Machines®, where we are pioneering a revolutionary approach to manufacturing. Our team is composed of passionate innovators dedicated to reshaping the industry through smart automation and data-driven solutions. Our mission is to empower factories with enhanced flexibility, scalability, and resilience, ensuring they meet current demands while preparing for future challenges.
As a member of our team, you will have the chance to make significant, lasting contributions that will benefit both our organization and our clients. If you are eager to leverage your exceptional skills to help build the factory of the future, we invite you to connect with us.
About Bright Machines
Bright Machines is at the forefront of transforming the manufacturing landscape. By integrating software and data into the manufacturing process, we aim to solve our customers' specific challenges and drive industry innovation. Our solutions enable factories to operate with greater agility and resilience, positioning them for success in a rapidly evolving market.
RETHINK MANUFACTURING Join us at Bright Machines®, where we are pioneering a revolutionary approach to manufacturing. Our team is composed of passionate innovators dedicated to reshaping the industry through smart automation and data-driven solutions. Our mission is to empower factories with enhanced flexibility, scalability, and resilience, ensuring they meet current demands while preparing for future challenges.As a member of our team, you will have the chance to make significant, lasting contributions that will benefit both our organization and our clients. If you are eager to leverage your exceptional skills to help build the factory of the future, we invite you to connect with us.
Join Bright Machines as a Senior Mechanical Engineer, where you will play a pivotal role in designing and developing innovative automated solutions. Your expertise will contribute to our mission of transforming manufacturing through advanced technology.
Join Bright Machines as a Senior Automation Controls Engineer focusing on Beckhoff technologies. In this pivotal role, you will be responsible for designing, developing, and implementing automation solutions that leverage Beckhoff's cutting-edge control systems. Your expertise will be essential in optimizing processes to enhance productivity and efficiency.
The San Francisco Museum of Modern Art (SFMOMA) stands as one of the largest institutions dedicated to modern and contemporary art in the United States, serving as a vibrant cultural hub for the Bay Area community. Art is an integral part of our lives—it inspires us and connects us daily. In a world that increasingly values these connections, we remain steadfast in our commitment to our core values.Inclusive: We aim to represent a multitude of voices in meaningful dialogue.Passionate: Our engagement with art transcends mere employment; it is a lifestyle.Brave: We approach our endeavors with courage and a spirit of adventure, always open to exploring diverse perspectives.Empathic: Our goal is to operate as individuals, rather than as an institution.SFMOMA is a space for the endlessly curious to engage with, support, and experience contemporary art. We believe that modern and contemporary art shapes our thoughts, perceptions, and appreciation of the diverse narratives that surround us. Our mission is to cultivate an environment that sparks joy, fosters a sense of belonging, and values every individual for their unique identity.Schedule: Full Time, 35 hours/week, with at least three days required on-site.As the Controller at SFMOMA, you will oversee all facets of accounting, reporting, auditing, and payroll functions. Your role will include supporting presentations to the board audit committee and managing the operational aspects of the Finance department, which encompasses responsibilities for accounting, accounts payable and receivable, payroll, monthly and yearly closings, and tax return preparations. You will ensure that the Museum has efficient systems and procedures to facilitate effective program implementation and conduct seamless audits. Collaboration with program leaders and their teams is essential, as you will educate them on finance and accounting procedures while exploring how the finance function can enhance program operations.· Within 30 days, you will have developed a solid understanding of Finance roles, workflows, and internal partnerships, gaining familiarity with the systems, applications, and reports managed by the Finance team.· By 90 days, you will have established positive, collaborative relationships and will be adept at engaging with board members, staff, external vendors, and the general public.
At Lambda, The Superintelligence Cloud, we are at the forefront of AI cloud infrastructure, empowering tens of thousands of clients ranging from innovative AI researchers to large enterprises and hyperscalers. Our mission is to make computing as accessible as electricity, providing everyone with the extraordinary capabilities of superintelligence, one person, one GPU.Join us in our quest to build the world's premier AI cloud platform.*Note: This role requires presence in both our San Francisco and San Jose offices for a total of 4 days each week.We are looking for a highly skilled Controller to lead and expand our accounting functions during a critical growth phase. Reporting directly to the Chief Accounting Officer, you will play a vital leadership role in establishing a top-tier controllership function that supports our rapidly growing multi-billion-dollar AI infrastructure platform.As Lambda continues to enhance its GPU cloud services, enterprise contracts, and capital-intensive data center infrastructure, you will ensure accounting excellence and operational rigor aligned with our long-term strategic goals. The Controller will apply strong judgment, extensive operational expertise, and the capability to develop systems, processes, and teams that meet public-company standards.This is a hands-on leadership role for someone eager to build, elevate, and modernize a high-performing accounting organization within a dynamic and fast-paced environment.
About WorkWhileAt WorkWhile, we are committed to transforming the lives of hourly workers by providing them with better earning opportunities and improved quality of life. With over 80 million Americans engaged in hourly employment, many face unpredictable schedules and minimal benefits, leading to financial uncertainty.Transitioning from a fast-growing labor marketplace, WorkWhile is now developing a robust workforce platform. Our offerings now include Newday (our innovative SaaS workforce management system) and WorkWhile Wallet (a fintech solution designed to enhance worker earnings and credit access), making our financial operations more intricate.We are on a mission to revolutionize frontline work by creating a more adaptive and efficient labor market. Utilizing AI technology, the WorkWhile platform enables businesses to swiftly connect with top-tier talent. Additionally, workers enjoy benefits such as same-day pay, complimentary telehealth services, skill enhancement opportunities, and the flexibility to select shifts that fit their skills and schedules.With the ambitious goal of aligning incentives and addressing inefficiencies within the labor market, we aim to disrupt the $650 billion staffing and recruiting industry. Supported by Khosla Ventures and recognized by the Inc. 5000 for extraordinary growth, WorkWhile is poised to reshape the future of work.About the RoleWe are on the lookout for a technically proficient and operationally sound Corporate Controller to partner with the CFO in establishing a premier accounting function. In this role, you will go beyond traditional accounting responsibilities; you will design the financial framework that underpins high-volume transaction processing, sophisticated revenue recognition (across Marketplace and SaaS models), and banking-level treasury operations.Key Responsibilities1. Core Accounting Operations & RigorFull Cycle Management: Lead all aspects of the accounting function, encompassing General Ledger, Payroll, Procure-to-Pay (P2P), Order-to-Cash (O2C), and Record-to-Report (R2R).Data Integrity: Ensure a high standard of accuracy and completeness in accounting records. Collaborate with the Data Science team to reconcile financial data in the ERP with operational data sources (e.g., BigQuery/Metabase revenue tables).W2 & 1099 Payroll: Manage the complexities involved in processing high-volume payroll for a diverse workforce, ensuring careful handling of W2 employees (taxes, benefits, withholdings) versus 1099 contractors.
Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.
About Our TeamThe Safety Systems organization at OpenAI is dedicated to ensuring the responsible development and deployment of our most advanced AI models. We create evaluations, safeguards, and safety frameworks to ensure that our models operate as intended in real-world scenarios.The Preparedness team plays a critical role within the Safety Systems organization, guided by OpenAI’s Preparedness Framework.As frontier AI models hold the potential for significant benefits to humanity, they also present escalating risks. The Preparedness team is essential in preparing for the development of increasingly capable frontier AI models, focusing on identifying, tracking, and preparing for catastrophic risks associated with these technologies.The mission of the Preparedness team includes:Monitoring and predicting the evolving capabilities of frontier AI systems, especially regarding risks that could have catastrophic consequences.Establishing concrete procedures, infrastructure, and partnerships to mitigate these risks and safely advance the development of powerful AI systems.The Preparedness team integrates capability assessment, evaluations, internal red teaming, and mitigations for frontier models, coordinating overall AGI preparedness. This fast-paced and impactful work holds significant importance for both our organization and society.About the RoleAs frontier AI systems become more capable, they exhibit greater autonomy, the ability to pursue long-term goals, adapt to feedback, and utilize tools. While these advancements offer immense potential, they also raise the risk of models behaving in misaligned or deceptive ways, which can be difficult to supervise or contain. Addressing the risk of loss of control is a key challenge in the safe development and deployment of advanced AI systems.In your role as a Researcher focused on loss of control mitigations, you will design and implement an end-to-end mitigation strategy aimed at reducing the risk of intentionally subversive or inadequately controllable behaviors in OpenAI’s products and internal operations. This position necessitates strong technical expertise and close collaboration across functions to ensure that safeguards are enforceable, scalable, and effective. You will directly contribute to establishing robust protections as model capabilities evolve.
About LightfieldLightfield is an innovative, AI-powered CRM that seamlessly integrates with your email, calendar, and meetings. It captures every interaction and transforms it into organized context, including accounts, tasks, follow-ups, and valuable insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by focusing on the actual workflows of teams rather than imposing rigid systems. Lightfield learns from real-world usage, automating processes and surfacing insights that drive business growth. We’re creating the CRM platform we’ve always envisioned: fast, intelligent, and genuinely supportive.Supported by notable investors such as Greylock, Lightspeed, and Coatue, our team has a rich background, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have experience with leading companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAs a key member of Lightfield's AI/ML team, you will play a vital role in crafting the core experiences of our product, developing cutting-edge applications that delight our customers.Currently, our focus is on building a powerful, domain-specific AI that surpasses generic LLMs.We thrive on the challenge of creating groundbreaking AI products for professionals engaged in serious work, and we are eager to expand our AI/ML team to meet these ambitious goals.What You'll DoDevelop and deliver exceptional, unique AI experiences that sales teams will be excited to use.Collaborate with founders and executives to shape Lightfield's AI/ML strategy.Identify user needs suitable for AI/ML solutions, articulate challenges, and work closely with product leaders to devise solutions.Prototype innovative, LLM-powered experiences and guide their development into reliable product features.Contribute to building a world-class AI/ML engineering team through recruitment and mentorship.Who You ArePossess a BS or MS degree in Computer Science, Artificial Intelligence, or Applied Mathematics.Have over 5 years of experience in developing AI/ML products, particularly in Natural Language Processing (NLP).Demonstrate a solid understanding of deep learning AI/ML frameworks and cloud services.Bring hands-on experience in ML Operations (ML Ops).Bonus PointsExperience leading AI/ML product initiatives...
Machine Learning EngineerJoin our client, a pioneering company dedicated to developing state-of-the-art non-invasive technology for brain interfacing. They are at the forefront of creating an innovative ultrasound-based platform that not only stimulates but also images brain activity with unmatched precision and depth, paving the way for groundbreaking advancements in neurological treatments and health research.This integrated approach combines cutting-edge hardware, sophisticated real-time software systems, and applied neuroscience to produce scalable solutions that can enhance lives on a global scale.We are looking for a skilled Machine Learning Engineer to play a crucial role in designing and implementing the essential algorithms that will facilitate precise imaging and targeting of brain activity through ultrasound systems.
At Sciforium, we are pioneering the future of AI infrastructure by creating cutting-edge multimodal AI models and a proprietary, high-efficiency serving platform. With substantial financial backing and direct support from AMD engineers, our team is rapidly expanding as we develop the comprehensive stack that drives advanced AI models and real-time applications.About the RoleIn the capacity of a Machine Learning Engineer, you will engage with the entire foundation-model stack, encompassing pretraining and scaling, post-training and Reinforcement Learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You’ll have the opportunity to rapidly iterate on research ideas, contribute to production-grade infrastructure, and help deliver models capable of addressing real-world challenges at scale.Your ResponsibilitiesThis position offers diverse tracks - candidates can specialize or contribute across multiple areas. Key responsibilities include:Pretraining & ScalingTrain expansive byte-native foundation models utilizing vast, heterogeneous data sources.Formulate stable training methodologies and scaling laws tailored for innovative architectures.Enhance throughput, memory efficiency, and resource utilization across extensive GPU clusters.Establish and maintain distributed training infrastructures alongside fault-tolerant pipelines.Post-training & Reinforcement LearningBuild out post-training frameworks (SFT, preference optimization, RLHF/RLAIF, RL).Curate and produce specialized datasets aimed at enhancing specific model capabilities.Develop reward models and evaluation systems to facilitate ongoing improvements.Investigate inference-time learning and computational strategies to boost performance.Sandbox Environments & EvaluationCreate scalable sandbox environments for agent assessment and learning.Generate realistic, high-signal automated evaluations for reasoning, tool usage, and safety.Design both offline and online environments that support RL-style training at scale.Implement instrumentation for observability, reproducibility, and rapid iteration.Deployment & Inference OptimizationOptimize deployment strategies to ensure models are efficient and effective in real-world applications.
About the RoleJoin Onyx, an esteemed open-source project that has captivated hundreds of thousands of users. With over 10,000 stars and a vibrant community of over 3,000 members on platforms like Slack and Discord, your contributions could impact millions in the future. Your ImpactAs a Machine Learning Engineer at Onyx, you will play a pivotal role in enhancing our knowledge layer on top of Large Language Models (LLMs). You will tackle complex challenges such as multi-hop question answering, needle-in-haystack retrieval, and advanced Retrieval-Augmented Generation (RAG) techniques. Key ResponsibilitiesDesign and implement knowledge graphs based on LLMs, exploring advanced RAG methods and cutting-edge information retrieval algorithms.Enhance user experience through innovative features like feedback learning, personalized search, and Subject Matter Expert (SME) suggestions.Develop a semantic understanding of organizational priorities to improve Onyx's answering capabilities.Manage projects from initial conception through validation to production deployment.Collaborate closely with our Founders and Head of AI to shape product direction and contribute to our AI/ML strategy. Success Criteria3+ years of experience in AI/ML engineering, focusing on real-world applications.In-depth expertise with PyTorch/TensorFlow, natural language processing (NLP) models, and standard machine learning algorithms.Stay current with advancements in open-source and proprietary LLMs, RAG, and agent frameworks.Strong software engineering skills, capable of building backend features using web frameworks, ORMs, and relational databases.Excellent communication skills, with the ability to collaborate effectively across teams.⭐ Bonus SkillsFamiliarity with full-stack technologies, including TypeScript, React, Next.js, Python, and PostgreSQL.Passion for writing technical blogs to position Onyx as a leader in the field.
Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.
Full-time|$180K/yr - $250K/yr|On-site|San Francisco, CA
About FluidstackAt Fluidstack, we are pioneering the infrastructure that fuels abundant intelligence. We collaborate with leading AI laboratories, government entities, and major corporations—including Mistral, Poolside, Black Forest Labs, and Meta—to facilitate computing capabilities at unparalleled speeds.Our mission is to urgently transform the concept of Artificial General Intelligence (AGI) into reality. Our team is driven, passionate, and dedicated to constructing world-class infrastructure. We view our clients' success as our own, taking pride in the systems we create and the trust we establish. If you are inspired by purpose, dedicated to excellence, and eager to work diligently to propel the future of intelligence forward, we invite you to join us in shaping what lies ahead.About the RoleAs the Systems Controls Lead, you will take charge of designing, implementing, and continuously refining Fluidstack's General IT Controls (GITC) framework. You will work at the confluence of infrastructure, compliance, and security—ensuring that the systems that drive the future of AI are supported by a robust, auditable control environment. This role is critical and high-impact within a streamlined team, collaborating closely with Engineering, Security, Legal, and Finance to expand our controls program in line with business growth.
Full-time|$148K/yr - $200K/yr|Hybrid|San Francisco, California, United States
About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.
Full-time|$240K/yr - $260K/yr|On-site|San Francisco, CA
About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.
As an integral member of our Finance team, the Controller at WindfallData will spearhead, manage, and enhance our core accounting operations, encompassing technical accounting, compliance, tax, and financial reporting. Reporting directly to the Vice President of Finance, you will closely collaborate with cross-functional teams including Sales, Customer Success, RevOps, and executive leadership to ensure seamless financial processes. Your primary responsibilities will include establishing and maintaining a robust control environment, developing accounting policies, overseeing critical systems, and designing as well as implementing process improvements. You will play a vital role in assisting the Finance Team in scaling workflows and applying best practices to keep pace with our rapid growth. This role is perfect for a team-oriented individual eager to learn and embrace challenges. Our mission is to revolutionize how organizations perceive and utilize people data, anchored in our core values: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.
Join Our Team as a Controls EngineerAt Marathon Fusion, we are at the forefront of engineering technologies that will revolutionize energy production through fusion. Unlike others who focus solely on developing new fusion devices, our mission centers on creating practical systems to deploy fusion energy at a scale that addresses climate change.Our innovative work involves developing core technologies for stable isotope production, fuel cycle closure, and advanced blanket systems that not only generate energy but also produce high-value co-products.Founded in 2023, we are committed to delivering components and systems that will enable fusion to become a feasible, plentiful, and dependable energy source for the 21st century.Our Company CultureWe thrive in a dynamic startup environment that demands focus, adaptability, and the ability to prioritize in a rapidly changing landscape. Success here hinges on proactive communication, trust-building among team members, and a commitment to continuous learning and skill development. We highly value self-direction in our team members.The Role: Controls EngineerAs a Controls Engineer at Marathon Fusion, you will play a pivotal role in developing control and data acquisition systems for various fusion experiments. Your hands-on contribution in our hardware-driven lab will be essential in implementing control systems that are safe, robust, and facilitate standardized data acquisition across multiple experiments. You will collaborate closely with a cross-functional team of mechanical and electrical engineers, physicists, and technicians to prototype, test, and refine systems for our Plasma Centrifuge and Transmutation projects.Key ResponsibilitiesLead long-term controls infrastructure decisions, including the selection and standardization of PLC platforms across experimental systems.Design and implement control system architectures, including hardware selection, wiring design, and control logic.Develop, standardize, and maintain data acquisition systems across multiple experimental setups using LabVIEW, Python, or similar tools.Collaborate with engineers, physicists, and technicians to construct, wire, and validate experimental control systems.Oversee commissioning, troubleshooting, and rapid iteration of control systems for lab test stands.Your QualificationsWe welcome candidates with a range of experience levels. Strong communication skills and the ability to work collaboratively in a team-oriented environment are essential.
Full-time|$150K/yr - $150K/yr|On-site|San Francisco Office
Join Reducto as a Machine Learning EngineerAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision.Much of the enterprise data—ranging from financial documents to healthcare records—remains trapped in unstructured formats such as PDFs and spreadsheets. Our vision models are designed to interpret these documents in a human-like manner, enabling the development of innovative products, training of machine learning models, and automation of processes on a large scale.Our rapid growth is a testament to our success, having achieved a staggering 7x year-over-year revenue increase, collaborating with numerous companies from prominent AI teams like Harvey, Vanta, and Scale to major enterprises including FAANG and leading trading firms.With over $100 million raised from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Machine Learning Engineer to assist in training and deploying models crucial for our core product's success.
About KreaAt Krea, we are at the forefront of developing cutting-edge AI creative tools that enhance the capabilities of artists and creators. Our commitment is to ensure that these AI technologies are not just accessible but also intuitive, empowering creativity rather than overshadowing it.We envision AI as a transformative medium, facilitating self-expression across diverse formats including text, images, video, sound, and even 3D. Our goal is to innovate smarter, more controllable tools that effectively utilize this medium.The RoleWe are seeking a dedicated Machine Learning Engineer to spearhead large-scale training experiments focused on image and video models.Your Responsibilities:Train foundational diffusion models for advanced image and video generation.Develop and enhance controllability modules such as IPAdapters or ControlNets.Innovate research methodologies and transition them into production.Execute large-scale experiments on high-performance computing clusters, optimizing data pipelines for extensive image datasets.Preferred Experience and Skills:Demonstrated success in working with image or video models at scale, with publications or open-source contributions being advantageous.A robust background in deep learning frameworks and distributed training methodologies.Capacity to rapidly iterate and propose innovative research avenues.More About UsHaving raised over $83 million, we are supported by esteemed Silicon Valley investors, including Andreessen Horowitz and co-founders of the Meta AI Research laboratory, as well as founding members of OpenAI.
RETHINK MANUFACTURING Join us at Bright Machines®, where we are pioneering a revolutionary approach to manufacturing. Our team is composed of passionate innovators dedicated to reshaping the industry through smart automation and data-driven solutions. Our mission is to empower factories with enhanced flexibility, scalability, and resilience, ensuring they meet current demands while preparing for future challenges.As a member of our team, you will have the chance to make significant, lasting contributions that will benefit both our organization and our clients. If you are eager to leverage your exceptional skills to help build the factory of the future, we invite you to connect with us.
Join Bright Machines as a Senior Mechanical Engineer, where you will play a pivotal role in designing and developing innovative automated solutions. Your expertise will contribute to our mission of transforming manufacturing through advanced technology.
Join Bright Machines as a Senior Automation Controls Engineer focusing on Beckhoff technologies. In this pivotal role, you will be responsible for designing, developing, and implementing automation solutions that leverage Beckhoff's cutting-edge control systems. Your expertise will be essential in optimizing processes to enhance productivity and efficiency.
The San Francisco Museum of Modern Art (SFMOMA) stands as one of the largest institutions dedicated to modern and contemporary art in the United States, serving as a vibrant cultural hub for the Bay Area community. Art is an integral part of our lives—it inspires us and connects us daily. In a world that increasingly values these connections, we remain steadfast in our commitment to our core values.Inclusive: We aim to represent a multitude of voices in meaningful dialogue.Passionate: Our engagement with art transcends mere employment; it is a lifestyle.Brave: We approach our endeavors with courage and a spirit of adventure, always open to exploring diverse perspectives.Empathic: Our goal is to operate as individuals, rather than as an institution.SFMOMA is a space for the endlessly curious to engage with, support, and experience contemporary art. We believe that modern and contemporary art shapes our thoughts, perceptions, and appreciation of the diverse narratives that surround us. Our mission is to cultivate an environment that sparks joy, fosters a sense of belonging, and values every individual for their unique identity.Schedule: Full Time, 35 hours/week, with at least three days required on-site.As the Controller at SFMOMA, you will oversee all facets of accounting, reporting, auditing, and payroll functions. Your role will include supporting presentations to the board audit committee and managing the operational aspects of the Finance department, which encompasses responsibilities for accounting, accounts payable and receivable, payroll, monthly and yearly closings, and tax return preparations. You will ensure that the Museum has efficient systems and procedures to facilitate effective program implementation and conduct seamless audits. Collaboration with program leaders and their teams is essential, as you will educate them on finance and accounting procedures while exploring how the finance function can enhance program operations.· Within 30 days, you will have developed a solid understanding of Finance roles, workflows, and internal partnerships, gaining familiarity with the systems, applications, and reports managed by the Finance team.· By 90 days, you will have established positive, collaborative relationships and will be adept at engaging with board members, staff, external vendors, and the general public.
At Lambda, The Superintelligence Cloud, we are at the forefront of AI cloud infrastructure, empowering tens of thousands of clients ranging from innovative AI researchers to large enterprises and hyperscalers. Our mission is to make computing as accessible as electricity, providing everyone with the extraordinary capabilities of superintelligence, one person, one GPU.Join us in our quest to build the world's premier AI cloud platform.*Note: This role requires presence in both our San Francisco and San Jose offices for a total of 4 days each week.We are looking for a highly skilled Controller to lead and expand our accounting functions during a critical growth phase. Reporting directly to the Chief Accounting Officer, you will play a vital leadership role in establishing a top-tier controllership function that supports our rapidly growing multi-billion-dollar AI infrastructure platform.As Lambda continues to enhance its GPU cloud services, enterprise contracts, and capital-intensive data center infrastructure, you will ensure accounting excellence and operational rigor aligned with our long-term strategic goals. The Controller will apply strong judgment, extensive operational expertise, and the capability to develop systems, processes, and teams that meet public-company standards.This is a hands-on leadership role for someone eager to build, elevate, and modernize a high-performing accounting organization within a dynamic and fast-paced environment.
About WorkWhileAt WorkWhile, we are committed to transforming the lives of hourly workers by providing them with better earning opportunities and improved quality of life. With over 80 million Americans engaged in hourly employment, many face unpredictable schedules and minimal benefits, leading to financial uncertainty.Transitioning from a fast-growing labor marketplace, WorkWhile is now developing a robust workforce platform. Our offerings now include Newday (our innovative SaaS workforce management system) and WorkWhile Wallet (a fintech solution designed to enhance worker earnings and credit access), making our financial operations more intricate.We are on a mission to revolutionize frontline work by creating a more adaptive and efficient labor market. Utilizing AI technology, the WorkWhile platform enables businesses to swiftly connect with top-tier talent. Additionally, workers enjoy benefits such as same-day pay, complimentary telehealth services, skill enhancement opportunities, and the flexibility to select shifts that fit their skills and schedules.With the ambitious goal of aligning incentives and addressing inefficiencies within the labor market, we aim to disrupt the $650 billion staffing and recruiting industry. Supported by Khosla Ventures and recognized by the Inc. 5000 for extraordinary growth, WorkWhile is poised to reshape the future of work.About the RoleWe are on the lookout for a technically proficient and operationally sound Corporate Controller to partner with the CFO in establishing a premier accounting function. In this role, you will go beyond traditional accounting responsibilities; you will design the financial framework that underpins high-volume transaction processing, sophisticated revenue recognition (across Marketplace and SaaS models), and banking-level treasury operations.Key Responsibilities1. Core Accounting Operations & RigorFull Cycle Management: Lead all aspects of the accounting function, encompassing General Ledger, Payroll, Procure-to-Pay (P2P), Order-to-Cash (O2C), and Record-to-Report (R2R).Data Integrity: Ensure a high standard of accuracy and completeness in accounting records. Collaborate with the Data Science team to reconcile financial data in the ERP with operational data sources (e.g., BigQuery/Metabase revenue tables).W2 & 1099 Payroll: Manage the complexities involved in processing high-volume payroll for a diverse workforce, ensuring careful handling of W2 employees (taxes, benefits, withholdings) versus 1099 contractors.
Job OverviewJoin Eragon as a Machine Learning Engineer and lead the charge in transforming innovative AI models into scalable, production-grade systems. This position is pivotal in bridging research and real-world applications by designing and optimizing systems that enhance vital workflows throughout the enterprise.In collaboration with our research, product, and engineering teams, you will convert cutting-edge capabilities into dependable, high-performance systems ready for production.Key ResponsibilitiesModel Development & Deployment: Craft, refine, and deploy machine learning models within production settings.Systems Engineering: Architect scalable pipelines for training, inference, evaluation, and comprehensive monitoring.Performance Optimization: Enhance the latency, throughput, cost-efficiency, and reliability of ML systems.Data & Infrastructure: Manipulate large datasets and ensure seamless integration of models with internal systems and APIs.Cross-Functional Collaboration: Collaborate with product and engineering teams to provide end-to-end AI functionalities.Evaluation & Monitoring: Develop robust evaluation frameworks and feedback loops to ensure system effectiveness.
About Our TeamThe Safety Systems organization at OpenAI is dedicated to ensuring the responsible development and deployment of our most advanced AI models. We create evaluations, safeguards, and safety frameworks to ensure that our models operate as intended in real-world scenarios.The Preparedness team plays a critical role within the Safety Systems organization, guided by OpenAI’s Preparedness Framework.As frontier AI models hold the potential for significant benefits to humanity, they also present escalating risks. The Preparedness team is essential in preparing for the development of increasingly capable frontier AI models, focusing on identifying, tracking, and preparing for catastrophic risks associated with these technologies.The mission of the Preparedness team includes:Monitoring and predicting the evolving capabilities of frontier AI systems, especially regarding risks that could have catastrophic consequences.Establishing concrete procedures, infrastructure, and partnerships to mitigate these risks and safely advance the development of powerful AI systems.The Preparedness team integrates capability assessment, evaluations, internal red teaming, and mitigations for frontier models, coordinating overall AGI preparedness. This fast-paced and impactful work holds significant importance for both our organization and society.About the RoleAs frontier AI systems become more capable, they exhibit greater autonomy, the ability to pursue long-term goals, adapt to feedback, and utilize tools. While these advancements offer immense potential, they also raise the risk of models behaving in misaligned or deceptive ways, which can be difficult to supervise or contain. Addressing the risk of loss of control is a key challenge in the safe development and deployment of advanced AI systems.In your role as a Researcher focused on loss of control mitigations, you will design and implement an end-to-end mitigation strategy aimed at reducing the risk of intentionally subversive or inadequately controllable behaviors in OpenAI’s products and internal operations. This position necessitates strong technical expertise and close collaboration across functions to ensure that safeguards are enforceable, scalable, and effective. You will directly contribute to establishing robust protections as model capabilities evolve.
About LightfieldLightfield is an innovative, AI-powered CRM that seamlessly integrates with your email, calendar, and meetings. It captures every interaction and transforms it into organized context, including accounts, tasks, follow-ups, and valuable insights, ensuring that nothing is overlooked.We are fundamentally reimagining CRM by focusing on the actual workflows of teams rather than imposing rigid systems. Lightfield learns from real-world usage, automating processes and surfacing insights that drive business growth. We’re creating the CRM platform we’ve always envisioned: fast, intelligent, and genuinely supportive.Supported by notable investors such as Greylock, Lightspeed, and Coatue, our team has a rich background, having previously developed Tome, a generative AI presentation tool utilized by over 25 million users. Many of us have experience with leading companies such as Llama, Instagram, Facebook Messenger, Pinterest, Google, and Salesforce.About the RoleAs a key member of Lightfield's AI/ML team, you will play a vital role in crafting the core experiences of our product, developing cutting-edge applications that delight our customers.Currently, our focus is on building a powerful, domain-specific AI that surpasses generic LLMs.We thrive on the challenge of creating groundbreaking AI products for professionals engaged in serious work, and we are eager to expand our AI/ML team to meet these ambitious goals.What You'll DoDevelop and deliver exceptional, unique AI experiences that sales teams will be excited to use.Collaborate with founders and executives to shape Lightfield's AI/ML strategy.Identify user needs suitable for AI/ML solutions, articulate challenges, and work closely with product leaders to devise solutions.Prototype innovative, LLM-powered experiences and guide their development into reliable product features.Contribute to building a world-class AI/ML engineering team through recruitment and mentorship.Who You ArePossess a BS or MS degree in Computer Science, Artificial Intelligence, or Applied Mathematics.Have over 5 years of experience in developing AI/ML products, particularly in Natural Language Processing (NLP).Demonstrate a solid understanding of deep learning AI/ML frameworks and cloud services.Bring hands-on experience in ML Operations (ML Ops).Bonus PointsExperience leading AI/ML product initiatives...
Machine Learning EngineerJoin our client, a pioneering company dedicated to developing state-of-the-art non-invasive technology for brain interfacing. They are at the forefront of creating an innovative ultrasound-based platform that not only stimulates but also images brain activity with unmatched precision and depth, paving the way for groundbreaking advancements in neurological treatments and health research.This integrated approach combines cutting-edge hardware, sophisticated real-time software systems, and applied neuroscience to produce scalable solutions that can enhance lives on a global scale.We are looking for a skilled Machine Learning Engineer to play a crucial role in designing and implementing the essential algorithms that will facilitate precise imaging and targeting of brain activity through ultrasound systems.
At Sciforium, we are pioneering the future of AI infrastructure by creating cutting-edge multimodal AI models and a proprietary, high-efficiency serving platform. With substantial financial backing and direct support from AMD engineers, our team is rapidly expanding as we develop the comprehensive stack that drives advanced AI models and real-time applications.About the RoleIn the capacity of a Machine Learning Engineer, you will engage with the entire foundation-model stack, encompassing pretraining and scaling, post-training and Reinforcement Learning, sandbox environments for evaluation and agentic learning, and deployment + inference optimization. You’ll have the opportunity to rapidly iterate on research ideas, contribute to production-grade infrastructure, and help deliver models capable of addressing real-world challenges at scale.Your ResponsibilitiesThis position offers diverse tracks - candidates can specialize or contribute across multiple areas. Key responsibilities include:Pretraining & ScalingTrain expansive byte-native foundation models utilizing vast, heterogeneous data sources.Formulate stable training methodologies and scaling laws tailored for innovative architectures.Enhance throughput, memory efficiency, and resource utilization across extensive GPU clusters.Establish and maintain distributed training infrastructures alongside fault-tolerant pipelines.Post-training & Reinforcement LearningBuild out post-training frameworks (SFT, preference optimization, RLHF/RLAIF, RL).Curate and produce specialized datasets aimed at enhancing specific model capabilities.Develop reward models and evaluation systems to facilitate ongoing improvements.Investigate inference-time learning and computational strategies to boost performance.Sandbox Environments & EvaluationCreate scalable sandbox environments for agent assessment and learning.Generate realistic, high-signal automated evaluations for reasoning, tool usage, and safety.Design both offline and online environments that support RL-style training at scale.Implement instrumentation for observability, reproducibility, and rapid iteration.Deployment & Inference OptimizationOptimize deployment strategies to ensure models are efficient and effective in real-world applications.
About the RoleJoin Onyx, an esteemed open-source project that has captivated hundreds of thousands of users. With over 10,000 stars and a vibrant community of over 3,000 members on platforms like Slack and Discord, your contributions could impact millions in the future. Your ImpactAs a Machine Learning Engineer at Onyx, you will play a pivotal role in enhancing our knowledge layer on top of Large Language Models (LLMs). You will tackle complex challenges such as multi-hop question answering, needle-in-haystack retrieval, and advanced Retrieval-Augmented Generation (RAG) techniques. Key ResponsibilitiesDesign and implement knowledge graphs based on LLMs, exploring advanced RAG methods and cutting-edge information retrieval algorithms.Enhance user experience through innovative features like feedback learning, personalized search, and Subject Matter Expert (SME) suggestions.Develop a semantic understanding of organizational priorities to improve Onyx's answering capabilities.Manage projects from initial conception through validation to production deployment.Collaborate closely with our Founders and Head of AI to shape product direction and contribute to our AI/ML strategy. Success Criteria3+ years of experience in AI/ML engineering, focusing on real-world applications.In-depth expertise with PyTorch/TensorFlow, natural language processing (NLP) models, and standard machine learning algorithms.Stay current with advancements in open-source and proprietary LLMs, RAG, and agent frameworks.Strong software engineering skills, capable of building backend features using web frameworks, ORMs, and relational databases.Excellent communication skills, with the ability to collaborate effectively across teams.⭐ Bonus SkillsFamiliarity with full-stack technologies, including TypeScript, React, Next.js, Python, and PostgreSQL.Passion for writing technical blogs to position Onyx as a leader in the field.
Join Strava, a leader in the sports technology sector, as a Machine Learning Engineer. In this exciting role, you will apply your expertise in machine learning and data science to develop innovative solutions that enhance the experience of millions of athletes worldwide. Collaborate with cross-functional teams to create algorithms that analyze vast datasets and provide actionable insights to our users.
Full-time|$180K/yr - $250K/yr|On-site|San Francisco, CA
About FluidstackAt Fluidstack, we are pioneering the infrastructure that fuels abundant intelligence. We collaborate with leading AI laboratories, government entities, and major corporations—including Mistral, Poolside, Black Forest Labs, and Meta—to facilitate computing capabilities at unparalleled speeds.Our mission is to urgently transform the concept of Artificial General Intelligence (AGI) into reality. Our team is driven, passionate, and dedicated to constructing world-class infrastructure. We view our clients' success as our own, taking pride in the systems we create and the trust we establish. If you are inspired by purpose, dedicated to excellence, and eager to work diligently to propel the future of intelligence forward, we invite you to join us in shaping what lies ahead.About the RoleAs the Systems Controls Lead, you will take charge of designing, implementing, and continuously refining Fluidstack's General IT Controls (GITC) framework. You will work at the confluence of infrastructure, compliance, and security—ensuring that the systems that drive the future of AI are supported by a robust, auditable control environment. This role is critical and high-impact within a streamlined team, collaborating closely with Engineering, Security, Legal, and Finance to expand our controls program in line with business growth.
Full-time|$148K/yr - $200K/yr|Hybrid|San Francisco, California, United States
About Taskrabbit:Taskrabbit is an innovative marketplace platform that seamlessly connects individuals with Taskers to manage everyday home tasks, including furniture assembly, handyman services, moving assistance, and much more.At Taskrabbit, we aim to transform lives one task at a time. We celebrate innovation, inclusion, and hard work, fostering a collaborative, pragmatic, and fast-paced culture. We seek talented, entrepreneurially minded, data-driven individuals who possess a passion for empowering others to pursue their passions. In partnership with IKEA, we are creating more opportunities for individuals to earn a consistent, meaningful income on their terms by establishing enduring relationships with clients in communities globally.Taskrabbit operates as a hybrid company, with team members located across the US and EU, and has been recognized as a Built In — Best Places to Work for 2022, 2023, and 2024, receiving accolades across various national and regional categories. Join us at Taskrabbit, where your contributions will be significant, your ideas appreciated, and your potential maximized!This position operates on a hybrid schedule, requiring two days of in-office collaboration per week. It can be based in our San Francisco office or our new New York City office (opening March 2026).About the RoleMachine Learning is a foundational element at Taskrabbit, and we are in search of an experienced Senior Machine Learning Engineer to join our team and help mold the future of ML/AI at Taskrabbit. This distinct, full-stack role is designed for someone who is enthusiastic about the entire machine learning lifecycle—from initial research and model development to constructing the robust infrastructure necessary for deploying and scaling your innovations.As a Senior Machine Learning Engineer, you will engage with exciting challenges that directly influence how users discover and interact with home services on the Taskrabbit platform. You will play a vital role in enhancing our capabilities in areas such as search ranking, content discovery, and recommendation systems. Collaborating closely with data scientists and fellow engineers, you will design and implement cutting-edge algorithms, ensuring the scalability, reliability, and optimization of our models in production alongside software engineers.
Full-time|$240K/yr - $260K/yr|On-site|San Francisco, CA
About VSCO At VSCO, we empower photographers with an innovative platform that provides essential tools, a vibrant community, and the visibility needed for creative and professional growth. We cultivate an authentic creative environment that welcomes photographers of all skill levels, offering a space that inspires opportunity, collaboration, and connection. Our mission is to support photographers in their journeys, enabling them to thrive and connect with fellow creatives and businesses through our comprehensive suite of tools, available on both mobile and desktop. We seek individuals who are passionate and proactive in advancing our mission. Our team members have the opportunity to make a significant impact, and we believe that collaborative efforts yield stronger results. Our core values are essential to our team culture and guide our hiring process. Learn more about what you can expect when joining VSCO on our Careers Page. About The Role As a Senior Machine Learning Engineer, you will harness the power of AI and machine learning to create innovative, reliable user-facing product features. You will leverage your extensive technical background and hands-on experience in deploying machine learning models to deliver impactful solutions based on real-world feedback. Your focus on measurable outcomes and customer satisfaction drives your work, blending innovation with practical implementation. You will be highly skilled in Python and adept across the data and machine learning stack, enabling you to develop and launch models efficiently while ensuring scalability and maintainability. Whether working with traditional algorithms or cutting-edge deep learning and generative AI, you will expertly navigate the complexity of each problem, managing every phase from defining the challenge to deployment and iterative improvement. Your dedication to software engineering excellence will inform your thoughtful approach to system design for machine learning, encompassing data quality, pipeline design, feature workflows, model serving, and ongoing monitoring and enhancement. By integrating machine learning deeply within our cohesive product experiences, you will collaborate effectively with cross-functional teams, aligning on objectives, defining success metrics, and driving meaningful outcomes. You will stay informed about the rapidly evolving AI landscape, maintaining a discerning perspective that allows your team to focus on significant advancements while avoiding distractions. The Day to Day Design and implement ML-powered features for search, discovery, personalization, and more.
As an integral member of our Finance team, the Controller at WindfallData will spearhead, manage, and enhance our core accounting operations, encompassing technical accounting, compliance, tax, and financial reporting. Reporting directly to the Vice President of Finance, you will closely collaborate with cross-functional teams including Sales, Customer Success, RevOps, and executive leadership to ensure seamless financial processes. Your primary responsibilities will include establishing and maintaining a robust control environment, developing accounting policies, overseeing critical systems, and designing as well as implementing process improvements. You will play a vital role in assisting the Finance Team in scaling workflows and applying best practices to keep pace with our rapid growth. This role is perfect for a team-oriented individual eager to learn and embrace challenges. Our mission is to revolutionize how organizations perceive and utilize people data, anchored in our core values: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Make a difference every day; and (5) Act with integrity and trust.
Join Our Team as a Controls EngineerAt Marathon Fusion, we are at the forefront of engineering technologies that will revolutionize energy production through fusion. Unlike others who focus solely on developing new fusion devices, our mission centers on creating practical systems to deploy fusion energy at a scale that addresses climate change.Our innovative work involves developing core technologies for stable isotope production, fuel cycle closure, and advanced blanket systems that not only generate energy but also produce high-value co-products.Founded in 2023, we are committed to delivering components and systems that will enable fusion to become a feasible, plentiful, and dependable energy source for the 21st century.Our Company CultureWe thrive in a dynamic startup environment that demands focus, adaptability, and the ability to prioritize in a rapidly changing landscape. Success here hinges on proactive communication, trust-building among team members, and a commitment to continuous learning and skill development. We highly value self-direction in our team members.The Role: Controls EngineerAs a Controls Engineer at Marathon Fusion, you will play a pivotal role in developing control and data acquisition systems for various fusion experiments. Your hands-on contribution in our hardware-driven lab will be essential in implementing control systems that are safe, robust, and facilitate standardized data acquisition across multiple experiments. You will collaborate closely with a cross-functional team of mechanical and electrical engineers, physicists, and technicians to prototype, test, and refine systems for our Plasma Centrifuge and Transmutation projects.Key ResponsibilitiesLead long-term controls infrastructure decisions, including the selection and standardization of PLC platforms across experimental systems.Design and implement control system architectures, including hardware selection, wiring design, and control logic.Develop, standardize, and maintain data acquisition systems across multiple experimental setups using LabVIEW, Python, or similar tools.Collaborate with engineers, physicists, and technicians to construct, wire, and validate experimental control systems.Oversee commissioning, troubleshooting, and rapid iteration of control systems for lab test stands.Your QualificationsWe welcome candidates with a range of experience levels. Strong communication skills and the ability to work collaboratively in a team-oriented environment are essential.
Full-time|$150K/yr - $150K/yr|On-site|San Francisco Office
Join Reducto as a Machine Learning EngineerAt Reducto, we empower AI teams to harness real-world enterprise data with unparalleled precision.Much of the enterprise data—ranging from financial documents to healthcare records—remains trapped in unstructured formats such as PDFs and spreadsheets. Our vision models are designed to interpret these documents in a human-like manner, enabling the development of innovative products, training of machine learning models, and automation of processes on a large scale.Our rapid growth is a testament to our success, having achieved a staggering 7x year-over-year revenue increase, collaborating with numerous companies from prominent AI teams like Harvey, Vanta, and Scale to major enterprises including FAANG and leading trading firms.With over $100 million raised from esteemed investors such as A16z, Benchmark, and First Round Capital, we are on the lookout for a talented Machine Learning Engineer to assist in training and deploying models crucial for our core product's success.
About KreaAt Krea, we are at the forefront of developing cutting-edge AI creative tools that enhance the capabilities of artists and creators. Our commitment is to ensure that these AI technologies are not just accessible but also intuitive, empowering creativity rather than overshadowing it.We envision AI as a transformative medium, facilitating self-expression across diverse formats including text, images, video, sound, and even 3D. Our goal is to innovate smarter, more controllable tools that effectively utilize this medium.The RoleWe are seeking a dedicated Machine Learning Engineer to spearhead large-scale training experiments focused on image and video models.Your Responsibilities:Train foundational diffusion models for advanced image and video generation.Develop and enhance controllability modules such as IPAdapters or ControlNets.Innovate research methodologies and transition them into production.Execute large-scale experiments on high-performance computing clusters, optimizing data pipelines for extensive image datasets.Preferred Experience and Skills:Demonstrated success in working with image or video models at scale, with publications or open-source contributions being advantageous.A robust background in deep learning frameworks and distributed training methodologies.Capacity to rapidly iterate and propose innovative research avenues.More About UsHaving raised over $83 million, we are supported by esteemed Silicon Valley investors, including Andreessen Horowitz and co-founders of the Meta AI Research laboratory, as well as founding members of OpenAI.
Jul 31, 2025
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