Performance Engineer - Rust

Join our innovative team at adaptive-ml as a Performance Engineer specializing in Rust. In this role, you will have the opportunity to enhance performance, optimize systems, and contribute to groundbreaking projects. Your expertise will directly impact our product's efficiency and scalability.

Your OpportunityJoin our innovative team at LM Studio as a Software Engineer specializing in AI/ML Systems. We seek a dynamic individual who thrives at the crossroads of machine learning and systems engineering, enjoys tackling complex challenges, and is dedicated to crafting exceptional products.In this role, you will be responsible for developing and enhancing on-device inference engines and integrations for local large language models (LLMs) and advanced AI technologies within LM Studio. You will design and maintain the runtime that facilitates on-device model inference, provide immediate support for new models on launch day, and optimize performance across diverse hardware setups.Collaboration is key here. You will engage closely with model authors and upstream open-source communities (such as llama.cpp, MLX, and others) to ensure that LM Studio users access cutting-edge AI experiences.If you're passionate about bridging the gap between models and systems and care about delivering outstanding local AI-powered experiences for both users and developers, this position could be your next great adventure!

About SesameAt Sesame, we envision a world where technology seamlessly integrates into our daily lives, creating lifelike computers that can see, hear, and interact with us naturally. Our mission focuses on developing innovative voice agents that become essential companions in our everyday activities. Our diverse team comprises visionary founders from Oculus and Ubiquity6, alongside seasoned professionals from Meta, Google, and Apple, all bringing extensive expertise in both hardware and software. Join us as we revolutionize the way we engage with technology and bring computers to life.Key Responsibilities:Lead the development of evaluation pipelines — architect, construct, and automate both offline and live evaluations to ensure our speech and multimodal models perform reliably in real-world applications.Leverage data effectively — develop tools that facilitate safe, versioned, and privacy-compliant dataset curation and exploration.Deliver impactful models — collaborate with research and infrastructure teams to prototype, train, and deploy cutting-edge voice models that enhance Sesame’s real-time companion experience.Optimize performance — enhance training and inference efficiency for LLM-class workloads; minimize latency, maximize throughput, and control costs until performance metrics are optimized.Implement monitoring and live evaluations — proactively identify quality regressions before they affect users or product managers.Act with agility — transition concepts from whiteboard to production within days, not quarters; maintain thorough documentation and testing practices.Required Qualifications:Proficient in PyTorch at an expert level.Demonstrated software engineering skills with a passion for machine learning; adept at writing production-ready code across various technology stacks.Substantial experience in training and fine-tuning large language models and other expansive models using diverse methodologies.Evaluation specialist — you have crafted metrics and tools that accurately predict user satisfaction.In-depth understanding of the machine learning lifecycle, including dataset operations, training pipelines, evaluation frameworks, deployment, and monitoring.Proven track record of delivering complex projects into production, particularly user-facing online machine learning systems, while navigating changing requirements and unforeseen challenges.High level of autonomy with sound judgment on when to work independently versus collaborating with team members.Experience in guiding technical direction, fostering consensus, and collaborating effectively with cross-functional teams.

Join asapp as a Lead AI/ML Engineer, where you will have the opportunity to drive innovation and create cutting-edge machine learning solutions. You will lead a talented team of engineers and collaborate with cross-functional teams to develop, implement, and optimize AI technologies that enhance user experiences. Your expertise in machine learning algorithms and passion for artificial intelligence will be pivotal in shaping our product offerings.

Artian AI is at the forefront of revolutionizing enterprise process automation through an innovative AI-driven approach, particularly in regulated sectors such as financial services. We are advancing the capabilities of AI Workflow Agents, fostering seamless collaboration and achieving the transformative results that traditional RPA and BPM tools have yet to deliver. Our ambition is to make AI-powered automation scalable, reliable, and adaptable, starting with financial services while recognizing its vast potential across various industries. Guided by a team of leading experts in AI research and enterprise innovation, Artian is pioneering the future of multi-agent automation in large-scale, mission-critical environments. Discover more about us at https://artian.ai/company.We are seeking a talented AI/ML Engineer to accelerate the enhancement of our groundbreaking AI platform. Ideal candidates will possess extensive expertise in Python, PyTorch, sklearn, embeddings, vector databases, graph databases, and LLM APIs (such as OpenAI, Claude, Gemini, Llama, Mistral, etc.), alongside skills in LLM prompt engineering, fine-tuning, and hyperparameter tuning. Familiarity with paradigms like RAG, AI agents, and multi-agent systems is essential. In this role, you will collaborate within a small cross-functional team, engaging across various components and services. Experience in a successful startup environment is a valuable asset.The opportunity before us is immediate, substantial, and immensely exciting, providing you with the chance to create meaningful products and address customer use cases at Artian. We are enthusiastic about our mission and look forward to your contributions in driving our journey forward!Note: This position is primarily on-site in New York, with some flexibility.

Join Profound in our quest to empower businesses to effectively manage their AI landscape. As an AI and ML Engineer, you will be instrumental in the design, development, and deployment of advanced Natural Language Processing (NLP) and Large Language Model (LLM) systems. Your work will enhance classification, ranking, clustering, topic discovery, and content generation capabilities. You will oversee complete workflows from data acquisition to deployment, collaborating with cross-functional teams to transform genuine user interactions into impactful product features and content that enhances visibility, engagement, and conversion rates.ResponsibilitiesDevelop and implement scalable NLP models for classification, ranking, clustering, topic extraction, and summarization.Design end-to-end LLM workflows for generating contextually relevant content, covering topic discovery, brief creation, outlines, drafts, revision cycles, and publish-ready assets.Create prompt and template libraries that align with brand voice for various formats, including blogs, landing pages, help documentation, and advertisements, ensuring evidence-based generation and citation retrieval.Establish evaluation frameworks for generated content, focusing on factual accuracy, coverage, tone, safety, and originality, using rubric-based evaluations and human-in-the-loop reviews.Monitor content performance across SEO and AEO metrics, engaging in experiments to enhance quality, reduce costs, and minimize latency.Transform extensive text datasets into production-ready features and signals that provide valuable product insights.Collaborate with engineering teams to instrument events, maintain data pipelines, and ensure high data quality and observability.Work closely with product, data, and go-to-market teams to define success metrics and conduct experiments that positively influence customer-facing KPIs.QualificationsDemonstrated experience in deploying machine learning systems at scale, particularly with large textual datasets.Practical experience in developing LLM content systems, including prompting, templating, retrieval-augmented generation, guardrails, and evaluation mechanisms.Proficiency in SQL and strong skills in Python alongside modern machine learning tools.In-depth understanding of machine learning quality metrics, capable of designing both offline and online evaluations and monitoring systems.Creative problem solver, capable of innovating when standard solutions do not meet requirements.Experience in cross-functional, high-performance teams, effectively contributing to diverse projects.

At Artemis, we are pioneering the future of AI-powered defense systems to empower businesses to effectively detect and counter threats in a landscape where AI combats AI on the cyber frontlines.We are supported by esteemed investors such as First Round Capital and Brightmind, alongside a coalition of leading operators in the cybersecurity sector.Our visionary founders, Shachar (former leaders at Palo Alto Networks, AWS, Demisto) and Dan (ex-Abnormal Security, Twitter) have successfully built, launched, and scaled cybersecurity solutions that have earned the trust of thousands of clients, leveraging deep expertise in customer needs, technology, and security to realize our ambitious vision.Our diverse and highly skilled team comprises software developers, AI researchers, security experts, and product designers from industry giants like Google, Abnormal AI, Wiz, Meta, AWS, CERN, and SentinelOne.As we expand our footprint, we are seeking passionate innovators to join our mission and enhance our growing clientele.Job OverviewArtemis is at the forefront of analyzing vast streams of data from cloud services, identity providers, network logs, and more. We are constructing a cutting-edge, large-scale AI-native data platform from inception and require outstanding AI/ML Engineers to help shape and realize this vision. You will collaborate with engineers who have designed some of the world’s most significant distributed systems.A key focus of this role involves utilizing agents as the primary classification and reasoning layer across our platform, enabling us to transcend traditional static rules and approaches, allowing for a deeper understanding and response to multifaceted security data.This position offers substantial responsibility and impact. You will engage with crucial components of our system, from LLM-powered classification and detection to extensive data processing and management.

The OpportunityJoin us at mecka.ai as a Core ML Engineer specializing in Deep Learning Architecture. In this pivotal role, you will spearhead enhancements to our model architecture across all pipelines.This position emphasizes foundational deep learning engineering over applied machine learning. We seek an engineer adept at creating, debugging, and refining internal model architectures from the ground up, moving beyond mere utilization of pre-existing models or standard fine-tuning.Our current ML systems predominantly utilize frame-by-frame models, yet our data is inherently temporal. Your primary responsibility will be transforming and optimizing these models for temporal inference—a crucial factor in unlocking pipeline performance.Additionally, you will become the key resource for model-level debugging, architecture design, and optimization throughout our organization. This is a high-impact, deeply technical role suited for someone who possesses a keen architectural mindset.Key ResponsibilitiesImmediate FocusTemporal Model Conversion: Transition frame-by-frame models to temporal architectures that harness sequential data.Benchmark and validate temporal models against existing frame-based baselines.Ongoing TasksLead enhancements in model architecture across all pipelines (e.g., CV, pose estimation).Tune and debug ML models at the architecture level—modify structural code, craft custom layers, and address the fundamental mathematics rather than relying solely on high-level APIs or hyperparameter tuning.Profile and optimize model performance metrics, including latency, throughput, and memory usage.Assess and integrate new architectures, training strategies, and optimization techniques.Collaborate with CV, ML, and infrastructure teams to deploy enhanced models.

About SciemoSciemo is at the forefront of AI innovation for consumer goods, providing technology that empowers businesses to make more informed, rapid, and human-centric decisions throughout the Integrated Business Planning (IBP) process. Our platform effectively transforms disorganized, isolated data into significant business outcomes. Through real-time assistance from our AI agents, we simplify complexity, enabling decision-makers to focus on what truly matters. Our headquarters is located in New York City.OverviewAs a leading startup, Sciemo is dedicated to advancing AI solutions for consumer brands. Utilizing machine learning, generative AI, agent-based systems, and graph technologies, we enable our clients to extract insights within seconds and achieve business impacts in minutes through our innovative products.We are seeking a Founding Member of Technical Staff to join our team, overseeing the development and deployment of sophisticated ML systems, reporting directly to Dan Wald, our Co-Founder & Chief AI Officer.RoleIn this dual capacity as a Data Scientist and Machine Learning Engineer, you will be instrumental in crafting, developing, and deploying the intelligent solutions that power our AI products. Your expertise will span the full spectrum of applied AI, including data science, machine learning, and large-scale production engineering. This role necessitates a combination of innovative model development and the engineering aptitude to deploy and sustain these models within robust, scalable infrastructures.You will collaborate closely with data engineers, product leaders, backend developers, and customer-facing teams to ensure our AI systems yield tangible value in real-world applications. As an early technical hire, you will help shape our AI strategy, establish technical standards, and create best practices for scalable applied AI.ResponsibilitiesDevelop and deploy AI systems that include:Architecting, building, and deploying ML/GenAI products on cloud infrastructure (AWS or equivalent).Designing and implementing end-to-end AI workflows: data ingestion, feature engineering, modeling, evaluation, and deployment.Creating automated pipelines for continuous learning, model promotion, and performance monitoring.System architecture and reliability:Leading the design of ML orchestration frameworks (such as Airflow, Kedro, ZenML, Flyte) to ensure reproducibility and reliability.

About Us: At EvolutionIQ, our mission is to revolutionize the insurance claims process through cutting-edge technology, ensuring that those affected by injury or illness can lead their lives with dignity and stability. As we experience remarkable growth, we are actively seeking top-tier talent to join our team and help us scale our innovative solutions in the insurance sector. Our culture has earned us recognition as one of Inc.’s Best Workplaces for three consecutive years and a spot on Built In’s Best Places to Work for 2025 and 2026! Your Impact & Mission: In the role of Principal Software Engineer at EvolutionIQ, you will play a pivotal part in the architecture and delivery of the next version of our AI claims management platform. Your primary focus will be on designing and implementing three foundational systems: 1. Data Ingestion/Pipeline, 2. API Platform, and 3. User-facing Application. These systems will process tens of millions of documents daily, including unstructured data sources such as OCR and phone call transcriptions. You will harness the power of our proprietary EvolutionGPT platform and large language models (LLMs) to convert raw data into actionable insights, facilitating rapid, code-free deployment of new products in just two weeks. You will collaborate closely with leadership to set strategic technical direction for our business lines, particularly in Disability and Workers' Compensation. This role involves defining technical requirements, tackling intriguing technical challenges, and playing a significant part in transforming our 100+ person engineering organization, motivating them as we grow. With a strong emphasis on First Principles thinking, you will leverage extensive unstructured datasets and proprietary LLMs, including our EvolutionGPT platform, along with other advanced technologies, to innovate our claims guidance platform that processes vast amounts of medical documents and data streams.

Role Overview Sigma Computing is building the next generation of data interaction. The platform lets users explore billions of data rows in seconds, work with data in a familiar spreadsheet-like interface, and build visualizations, applications, and workflows. Sigma is now expanding these capabilities with AI to help users create, discover insights, and make decisions faster. The Senior AI/ML Engineer will join a team focused on developing the AI infrastructure that shapes Sigma’s future. Work here directly impacts how enterprises use Sigma in their daily operations. Location This position is based in New York City, NY.

Maven Clinic stands as the largest virtual healthcare platform dedicated to women and families, aiming to revolutionize healthcare access for everyone. Our award-winning digital solutions provide comprehensive clinical, emotional, and financial support in a single platform, covering areas such as fertility and family building, maternity and newborn care, parenting and pediatrics, as well as menopause and midlife. With over 2,000 employers and health plans leveraging Maven's integrated platform, we are committed to enhancing clinical outcomes, reducing healthcare expenses, and promoting equity in benefits programs. Our innovative approach has earned us accolades such as the Time 100 Most Influential Companies, CNBC Disruptor 50, Fast Company Most Innovative Companies, and FORTUNE Best Places to Work. Founded in 2014 by CEO Kate Ryder, we have successfully raised more than $425 million from leading investors in healthcare and technology. Explore more about our mission at mavenclinic.com.A Company Culture of Excellence – Maven Clinic proudly holds over 30 workplace and innovation awards, including:Fortune Change the World (2024)CNBC Disruptor 50 List (2022, 2023, 2024)Fortune Best Workplaces for Millennials (2024)Fortune Best Workplaces in Health Care (2024)TIME 100 Most Influential Companies (2023)Fast Company Most Innovative Companies (2020, 2023)Built In Best Places to Work (2023)Fortune Best Workplaces NY (2020-2024)Great Place to Work certified (2020-2024)Fast Company Best Workplaces for Innovators (2022)Built In LGBTQIA+ Advocacy Award (2022)As a Staff ML/AI Engineer at Maven, your responsibilities will include:Designing, building, and deploying AI-driven solutions utilizing models such as OpenAI and Gemini, implementing modern orchestration techniques like RAG and agent frameworks to enhance product experiences.Collaborating with product, data, and engineering teams to transform extensive healthcare data into actionable insights and intelligent workflows, enriching the care journey for members and providers alike.Creating robust ML pipelines and platform components that facilitate model experimentation, fine-tuning, and production deployment, emphasizing scalability, safety, and performance.Fostering collaboration...

We are seeking a dynamic and results-driven Revenue Operations Manager to join our team at adaptive-ml. This pivotal role will be responsible for optimizing our revenue processes, enhancing operational efficiency, and driving strategic initiatives that align with our business objectives. You will work closely with sales, marketing, and customer success teams to ensure seamless revenue generation and customer satisfaction.

About the Role Adaptive ML is hiring a Partnerships Manager based in Toronto or New York. This role focuses on building and maintaining strategic partnerships that support company growth and expand our presence in the market. What You Will Do Identify and evaluate new partnership opportunities that align with business goals Develop partnership proposals and present them to potential collaborators Negotiate agreements and manage ongoing partner relationships Work closely with teams across the company to ensure partnerships deliver value Who We’re Looking For Experience managing partnerships or business development in a related field Strong relationship-building and negotiation skills Comfort working with cross-functional teams Proven ability to drive results through collaboration If building strong business relationships motivates you and you have a track record in partnership management, consider joining Adaptive ML.

Join Versapay as a Principal Product Manager - AI/ML! At Versapay, we transform accounts receivable (AR) into a strategic advantage for businesses.Inefficient AR processes can hinder cash flow and stunt growth. We eliminate friction, unlock working capital, and streamline momentum, providing finance leaders with the insights and control necessary to propel their businesses forward.Our platform automates accounts receivable, facilitating the collection and reconciliation of B2B payments. We connect finance teams, clients, and business systems in an integrated ecosystem that ensures cash flow clarity. With over 10,000 customers and 5 million companies transacting through our platform, we process more than 110 million transactions and $257 billion annually.Are you ready to be the next leader at Versapay? Read on!As a Principal Product Manager, you will significantly influence both our product offerings and your career trajectory. This position entails redefining the status quo, discovering ways to create value, and driving innovative technological experiences for our clients and their customers. We are on the lookout for a seasoned AI/ML Product Manager to enhance our product management team. You will design intelligent experiences on our platforms that cater to our customers, their clients, and Versapay employees. The ideal candidate will have a strong history of developing and launching machine learning-driven products that enhance customer experiences on a large scale. Your responsibilities will include crafting strategies for recommendation algorithms and applications that deliver user value. This is an exceptional opportunity to shape the future of how customers efficiently navigate invoice-to-cash processes across our platforms. You will oversee the product lifecycle from initial research and ideation to implementation and ongoing improvements. Your success will be evaluated through key commercial and customer success metrics. You will lead a cross-functional team comprising engineering, design, and go-to-market members to fulfill the needs of our customers and our organization. This role is pivotal in driving change in buyer behavior and operational processes, requiring adaptability and agility. Your intellectual curiosity, passion for product innovation, and proactive approach will guide our strategic direction.

At Runway, we are pioneering AI technologies that merge the realms of art and science to simulate the world. Our mission is to develop advanced world models that represent the cutting edge of artificial intelligence. We understand that addressing the world’s most pressing challenges—be it in robotics, healthcare, or scientific exploration—requires more than just language models. By simulating experiences and learning from failures, we can drive innovation far more rapidly than in real-world scenarios.These world models are poised to revolutionize storytelling, enhance scientific breakthroughs, and propel humanity toward its next milestones.We take pride in our diverse team of creative, open-minded, and ambitious individuals who are committed to making a significant impact. If you share our vision and are eager to create extraordinary solutions, we would love to connect with you.About the Role*We welcome remote applicants from across the US, with offices in New York City, San Francisco, and Seattle.We are seeking a driven and experienced individual to serve as an API Deployment Manager. In this pivotal role, you will collaborate with some of our most influential API partners to facilitate their use of Runway’s technology in transforming content creation. Achieving success in this position requires a blend of technical expertise, strategic insight, and practical execution.

At Cedar, we recognize that the current healthcare system is a leading contributor to personal bankruptcy in the U.S., impacting over 50 million Americans annually. Seeking care often results in financial hardships, from diminished credit scores to wage garnishments. The situation is exacerbated by the rise of high-deductible health plans, making this challenge increasingly urgent.Cedar is on a mission to harness data science, innovative product design, and personalization to enhance the affordability and accessibility of healthcare. We aim to revolutionize the conventional 'one-size-fits-all' approach by implementing consumer-centric practices that lead to a superior healthcare experience.(Hybrid - NYC)The RoleCedar is dedicated to transforming the financial experience of healthcare. Our technology enhances patient billing and engagement, enabling providers to navigate a dynamic landscape while empowering patients to comprehend the costs of their care.We are in search of a visionary Principal Product Manager to shape the future of user interactions. You will spearhead the strategy and expansion of our foundational Personalization Framework, evolving Cedar Pay into a smart, predictive experience. This influential platform role will amplify the capabilities of our internal teams that build on your platform.What You’ll DoScale and Optimize the Personalization Engine: Transform our existing machine learning capabilities into a cutting-edge system that utilizes deep learning to provide timely messages, payment options, or insights, thereby alleviating friction in the patient financial journey.Own the Intelligence Strategy: Develop a multi-year roadmap for Cedar Pay’s AI vision, crafting AI-driven patient journeys that anticipate needs by leveraging Cedar’s proprietary data to meet patients with empathy and precision.Enable Product Squads: Serve as the internal advocate for consumer teams. Establish clear APIs, integration methods, and documentation to ensure the platform’s value is fully realized across the organization.Guide Front-End Experience: Collaborate closely with Product Managers and Engineering teams responsible for the user interface, ensuring effective utilization of the platform's intelligence.Drive Rigorous Experimentation: Promote a culture of hypothesis-driven development, utilizing extensive A/B testing to validate and enhance features.

Role overview tsmg seeks AI/ML Data Contributors based in New York, NY to help advance machine learning projects. Contributors play a key role by supporting data-driven tasks that improve model performance and reliability. What you will do Label and annotate data sets for use in machine learning systems Review and evaluate content to inform model development Take part in user-based testing, which may include assessments using devices or virtual reality tools Work format Projects differ in size, type, and requirements Assignments may be remote or require in-person participation Ability to participate in several projects over time

Adaptive ML is seeking a dynamic and results-driven Business Development Representative (BDR) Manager to lead our sales development team in our New York office. In this pivotal role, you will be responsible for driving growth by developing strategies to enhance lead generation and improve sales processes. You will mentor and coach your team to achieve their targets, ensuring a high level of performance and motivation.Join us at Adaptive ML, where we leverage cutting-edge machine learning technologies to deliver innovative solutions that empower businesses. If you are passionate about sales and have a knack for nurturing talent, we want to hear from you!

At Runway ML, we are pioneering the fusion of art and science through advanced AI technologies. Our vision is to create world models that unlock the next breakthroughs in artificial intelligence, going beyond traditional language models to tackle the most pressing challenges in robotics, healthcare, and scientific research. By simulating real-world experiences, we enable AI to learn and adapt like humans, accelerating innovation and creativity in unprecedented ways.Our team is composed of imaginative, compassionate, and ambitious individuals committed to making a significant impact. If you are inspired to build the extraordinary and thrive in a collaborative environment, we want to hear from you!About the RoleWe welcome remote applicants from across the US and London, with offices located in NYC, San Francisco, Seattle, and London.We are seeking an experienced AI Engagement Manager who will be pivotal in driving the success of our strategic partnerships. You will work closely with key clients to help them harness the power of Runway’s platform to revolutionize content creation. This role demands a blend of technical expertise, strategic insight, and proactive execution.Your ResponsibilitiesDevelop and maintain trusted relationships with C-suite executives at major partners, ensuring they evolve from mere customers to long-term allies in AI-driven creativity.Collaborate directly with top-tier creative teams from leading Hollywood studios and Fortune 100 companies, contributing to award-winning productions and cultural milestones.Function as a strategic internal partner, documenting current successful use cases and innovating new applications to influence Runway’s product roadmap and market positioning.Engage deeply with client accounts to identify their content challenges and propose tailored solutions utilizing Runway’s capabilities.Explore and prototype new markets and opportunities for our offerings.