Senior Product Designer at Sentry | San Francisco

About SentryAt Sentry, we recognize that poor software experiences are all too common, and we are determined to change that. Our mission is to empower developers to create better software more efficiently, allowing everyone to reconnect with the joy of technology.With over $217 million in funding and a community of more than 100,000 organizations, including industry giants like Disney, Microsoft, and Atlassian, we are pioneering performance and error monitoring solutions. Our tools enable companies to spend less time addressing bugs and more time innovating.Sentry promotes a hybrid work environment across our global hubs, designating Mondays, Tuesdays, and Thursdays as in-office collaboration days. If you are passionate about creating solutions that enhance the digital experience, we invite you to join us in developing the next generation of software monitoring tools.About the RoleAs a Staff Machine Learning Engineer within Sentry’s AI/ML team, you will take the lead in developing advanced models and agents that enhance our products' intelligence and functionality. This pivotal role involves integrating AI and machine learning into our core offerings, including issue triage and resolution, as well as predictive analytics for application performance monitoring. Your contributions will enable organizations worldwide to derive actionable insights from their software, helping them to create superior products at an accelerated pace.In This Role You WillCreate cutting-edge agentic AI systems for triaging, debugging, and resolving real-world production challenges.Utilize Sentry’s extensive dataset of errors, spans, and profiles to inform your work.Lead the charge on significant AI/ML initiatives within the organization.You Will Thrive in This Role If YouAre motivated by making a meaningful impact and enjoy high-stakes, visible projects.Have a passion for building and will embrace the opportunity to be a founding member of the AI/ML team.Excel in cross-functional collaboration, working alongside developers and product teams to create features.

About SentryIn a world inundated with poor software, Sentry stands out with its commitment to ensuring developers can create high-quality software efficiently. Our mission is to empower developers to write better software faster, allowing everyone to rediscover the joy of technology.With over $217 million in funding and a growing community of more than 100,000 organizations, including industry giants like Disney, Microsoft, and Atlassian, we are at the forefront of developing performance and error monitoring tools that streamline the development process.Sentry supports a dynamic hybrid work environment across our global offices, with dedicated in-office days on Mondays, Tuesdays, and Thursdays to foster collaboration. If you have a passion for crafting tools that enhance the digital experience, join us in shaping the future of software monitoring.About the RoleAs a Senior Software Engineer on Sentry’s AI/ML team, you will play a pivotal role in developing the platform utilized by our debugging agents. This position is critical in incorporating AI and machine learning into our fundamental products, ranging from issue triage and resolution to predictive analytics for application performance monitoring. Your contributions will provide actionable insights to companies worldwide, enabling them to enhance their software development processes.Your ResponsibilitiesDevelop advanced agentic AI platforms to triage, debug, and resolve real-world production challenges.Utilize Sentry’s extensive dataset of errors, spans, and profiles to inform your development.Lead the development of significant projects within the AI/ML domain.What You’ll Love About This JobYou are motivated by impact and relish working on high-stakes, visible projects.You enjoy the process of building and will have the chance to be a foundational member of the AI/ML team.You thrive in collaborative environments and enjoy developing features alongside cross-functional teams.

About SentrySentry is dedicated to transforming the software development landscape. We believe that bad software should be a thing of the past. Our mission is to empower developers to create high-quality software swiftly, allowing us all to enjoy technology without the headaches of bugs and performance issues.With over $217 million in funding and a community of more than 100,000 organizations that trust our vision, we are proud to deliver cutting-edge performance and error monitoring solutions. Our tools are utilized by industry leaders like Disney, Microsoft, and Atlassian, enabling them to minimize time spent on troubleshooting and maximize time spent innovating.At Sentry, we champion a hybrid work culture across our global locations. With designated in-office days on Mondays, Tuesdays, and Thursdays, we foster collaboration and teamwork. If you are passionate about building tools that enhance the digital experience, join us in shaping the future of software monitoring.About the Role:As a key member of the Solutions Engineering team at Sentry, you will play an integral role in assisting our largest clients with the seamless integration of Sentry into their applications and workflows. From SDK integration to ensuring that alerts and issues are routed appropriately, your expertise will be vital in optimizing customer implementations and usage. Your goals will include:Empowering developers to swiftly identify and resolve application slowdowns and errors.Enhancing development team productivity and elevating customer satisfaction levels.Your Responsibilities Will Include:Understanding customer challenges and objectives to create tailored implementation and onboarding strategies that deliver business value.Creating best practices and educational materials focused on error and performance management, including “how-to” articles and videos.Serving as a trusted advisor and subject-matter expert, guiding customers in software engineering and monitoring best practices.Facilitating workshops that promote deeper engagement and broader adoption of Sentry's solutions.Collaborating cross-functionally to provide valuable feedback to product and development teams, aligning Sentry's roadmap with customer needs and improving time-to-value.You Will Thrive in This Role If You:Enjoy discussing technology and engaging with engineers and technical leaders.Flourish in a dynamic environment and embrace diverse challenges.

About SentryIn a world filled with subpar software, Sentry is dedicated to transforming the developer experience. Our mission is to empower developers to create high-quality software swiftly, allowing everyone to reconnect with the joy of technology.Backed by over $217 million in funding and trusted by more than 100,000 organizations, including giants like Disney, Microsoft, and Atlassian, we are at the forefront of developing innovative performance and error monitoring tools. Our goal is to minimize bug-fixing time so that companies can focus on what truly matters: building great products.At Sentry, we champion a hybrid work environment across our global locations, with Mondays, Tuesdays, and Thursdays designated as in-office days to foster collaboration. If you have a passion for crafting solutions that enhance the digital experience, join us in shaping the future of software monitoring.About the RoleWe are on the lookout for an enthusiastic and detail-oriented Executive & Office Assistant to collaborate with our leadership team and manage daily operations at our San Francisco office. This pivotal role involves delivering comprehensive administrative support to our executives and partnering with the SF Office Manager to create an inviting and efficient workplace for all employees and visitors. As an integral part of our operations, you will facilitate seamless facility management and enhance communication within the team.If you excel at instilling order amidst chaos in a vibrant and dynamic environment, this opportunity is for you. Join our rapidly growing team committed to revolutionizing software development for half a million developers; we need your expertise!Note: While our company policy supports a hybrid work approach, this position requires in-office presence five days a week in San Francisco.

Join Our Team as a Machine Learning EngineerSaris-AI is a pioneering applied AI startup, based in San Francisco and Montreal, focused on revolutionizing the banking sector. Our mission is to address a colossal $100 billion/year challenge that is rapidly expanding, innovating the limits of what can be achieved with advanced multi-turn AI systems.We aim to automate complex workflows that necessitate long-context reasoning, orchestration of tools across legacy systems, and rigorous compliance processes—solving problems that currently lack definitive solutions.Our team has successfully deployed AI agents that manage real customer workflows effectively in production. As we expand our customer base and accelerate our growth, we are in search of highly skilled technical builders who aspire to make a significant impact in the early stages of our journey.As a foundational Machine Learning Engineer, you will own our entire ML stack and bring custom agents to life.

About SentryAt Sentry, we believe that bad software shouldn't be the norm. Our mission is to empower developers to create better software at a faster pace, allowing us all to enjoy technology more fully.With over $217 million in funding and a community of 100,000+ organizations supporting our vision, we are dedicated to developing performance and error monitoring tools that enable companies like Disney, Microsoft, and Atlassian to minimize bug fixing and maximize product development.Embracing a hybrid work model across our global offices, we invite you to join us in the office on Mondays, Tuesdays, and Thursdays to foster meaningful collaboration. If you are passionate about building solutions that enhance the digital experience, come help us innovate the future of software monitoring tools.About the RoleThe Data Science team is an integral part of Sentry's Data & Analytics within the Business Operations organization. We are focused on leveraging data to drive smarter decisions by creating models and analytical systems that translate data into actionable insights. Our commitment is to deliver high-impact, production-ready data science projects that bolster teams across Product, GTM, and Finance.In the role of Senior Data Scientist, you will be pivotal in defining the data science framework at Sentry. You will tackle complex, ambiguous challenges, develop models that yield significant business results, and help set the standards and practices that facilitate the scalability of data science efforts. Collaborating closely with cross-functional teams will ensure that our data science initiatives are trusted, widely adopted, and impactful across the organization.If you thrive on solving challenging problems, enjoy working independently, and seek to harness data science to influence real-world decisions, we are eager to connect with you.Your ResponsibilitiesDefine a repeatable data science operating model including roadmapping, stakeholder engagement, and delivery standards.Develop and deploy predictive models that inform product and business decisions, such as customer adoption, intelligence, lead scoring, and impact measurement.Collaborate with GTM, Product, and Finance teams to integrate models into actionable workflows rather than limiting them to dashboards.Provide technical leadership, elevating the standards for data science practices at Sentry.Work alongside Data Engineering to guarantee reliable deployment of production models.Enhance the foundational elements that boost experimentation and learning over time.What You'll Appreciate About This RoleThe opportunity to shape the future of data science at Sentry.A collaborative environment that values innovation and creativity.The chance to work on meaningful projects that have a real impact on the business.

About SentryAt Sentry, we believe that poor software should be a thing of the past. Our mission is to empower developers to create exceptional software rapidly, allowing everyone to enjoy technology at its best.With over $217 million in funding and a trust of more than 100,000 organizations—including industry leaders like Disney, Microsoft, and Atlassian—we are dedicated to crafting performance and error monitoring tools that minimize bug fixing and maximize product development.We embrace a hybrid work environment across our global hubs, designating Mondays, Tuesdays, and Thursdays as in-office days to foster meaningful collaboration. If you’re passionate about creating solutions that enhance the digital experience, join us in developing the next generation of software monitoring tools.Your Role as an Enterprise Marketing ManagerAs the Enterprise Marketing Manager, you will take charge of how Sentry is positioned to various buyer personas within our core audience segments, focusing on competitive deals, customer success stories, and enterprise-level campaigns.This pivotal role emphasizes storytelling and enablement. You will collaborate closely with our Sales, Product Marketing, and Integrated Marketing teams to ensure Sentry is strategically positioned to excel in competitive landscapes, supported by credible customer narratives and programs.Key ResponsibilitiesDevelop and implement enterprise messaging and positioning through crafting compelling narratives, sales materials, and content that effectively communicate Sentry's value proposition to target buyer personas.Lead competitive sales enablement by creating battlecards, positioning frameworks, conducting win/loss analyses, and delivering sales training to boost performance in strategic deals.Build and scale customer advocacy programs, including case studies and advisory boards, to illustrate credibility and impact on a larger scale.Support enterprise campaigns with robust narratives and content, working alongside Integrated Marketing and Product Marketing to align campaigns with buyer needs, competitive context, and customer endorsements.Collaborate with GTM teams on execution, addressing field needs, supporting key opportunities, and continually refining enterprise enablement based on feedback and performance outcomes.What Makes You a Great FitYou are a proactive individual who thrives on creating and executing programs from the ground up.You derive satisfaction from collaborating with Sales and relish the opportunity to influence competitive sales cycles.You possess a strong understanding of enterprise marketing dynamics and enjoy storytelling through data and customer insights.

About Liquid AIFounded as a spin-off from MIT CSAIL, Liquid AI specializes in creating versatile AI systems designed for optimal performance across various deployment platforms, including data center accelerators and on-device hardware. Our technology emphasizes low latency, minimal memory consumption, privacy, and dependability. We collaborate with leading enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we are on the lookout for exceptional talent to join our team.The OpportunityThe Data team at Liquid AI drives the development of our Liquid Foundation Models, focusing on pre-training, vision, audio, and emerging modalities. With the stagnation of public data sources, the effectiveness of our models increasingly relies on specially curated datasets. We are seeking engineers with a machine learning mindset who can efficiently gather, filter, and synthesize high-quality data at scale.At Liquid AI, we regard data as a research challenge rather than an infrastructural issue. Our engineers conduct experiments, design ablations, and assess how data-related decisions impact model quality. We will align you with a team where you can experience rapid growth and make a significant impact, be it in pre-training, post-training reinforcement learning, vision-language, audio, or multimodal applications.While we prefer candidates in San Francisco and Boston, we are open to considering other locations.What We're Looking ForWe are in search of a candidate who:Thinks like a researcher and executes like an engineer: You should be able to formulate hypotheses, conduct experiments, and evaluate results. Our engineers produce research-level code while our researchers implement production systems.Learns quickly and adapts: You will be working in rapidly evolving modalities, so the ability to quickly grasp new domains and thrive in ambiguity is essential.Prioritizes data quality: We hold data quality in high regard; tasks such as filtering, deduplication, augmentation, and evaluation are key responsibilities, not afterthoughts.Solves problems autonomously: Data engineers operate within training groups (pre-training and multimodal). While collaboration is crucial, we expect ownership and self-direction.The WorkDevelop and maintain data processing, filtering, and selection pipelines at scale.Establish pipelines for pretraining, midtraining, supervised fine-tuning, and preference optimization datasets.Design synthetic data generation systems utilizing large language models (LLMs), structured prompting, and domain-specific generative techniques.

Join a pioneering team of former Google engineers who have developed ground-breaking defensive technologies, such as Safe Browsing and reCAPTCHA. We are on a mission to confront an urgent challenge: combating the rising tide of adversarial AI attacks that threaten organizations globally.Operating in stealth mode, we are targeting a lucrative $5B+ market that is primed for innovation. Conventional detection methodologies are proving inadequate against the speed and sophistication of AI-driven assaults. Current adversaries are leveraging AI to engineer tailored, high-evasion attacks, leaving traditional systems vulnerable.Your Role:You will design a network of AI agents that are rapid, cost-effective, and precise, collaborating to identify and neutralize emerging threats. Your work will dive deep into real-time threat data, continuously evolving your agents in a fast-paced environment. These agents will function under an orchestration layer that fosters quick adaptation and learning.The Excitement of the ChallengeRapidly Evolving Models: The landscape changes daily; solutions that worked yesterday may be outdated today.Intelligent Adversaries: We are engaged in a real-time arms race against cunning, AI-enhanced attackers crafting sophisticated payloads.No Existing Playbook: We are forging new detection paradigms as swiftly as threats evolve. This high-stakes work places you in the heart of the action from day one.If you thrive on solving challenging problems with rapid feedback, this is your opportunity.Why We Are Positioned to SucceedExpansive Market: The market is vast at $5B and expanding quickly, while established players struggle to adapt.Proven Track Record: Our team has previously developed the foundational technology for Safe Browsing (serving over 5B users) and reCAPTCHA (protecting more than 5M websites) during our time at Google.Experienced Team: This is our third endeavor in creating a category-defining security enterprise, and we know how to scale our technology and our organization effectively.Deeply Integrated AI and Security: We embed AI from the outset rather than layering it on top.Top Talent: We hire only the highest achievers; many on our team were in the top 1% of engineers at Google. If you excelled in your previous role, you will fit right in.Agility: We prioritize speed and efficiency in everything we do.

The Applied AI team at Databricks is at the forefront of pioneering GenAI-powered products. In recent years, we have successfully launched the Databricks Assistant, AI/BI Genie, and Agent Bricks, collaborating with product teams to significantly enhance LLM quality for these offerings. These innovations are utilized by hundreds of thousands of Databricks users daily. We are dedicated to solving complex challenges such as code suggestion, error detection and correction, text-to-SQL generation, automatic pipeline generation, and knowledge QA.As we continue to evolve our GenAI products, we are looking for multiple GenAI Engineers at various experience levels to lead the next phase of our development. Our goals for 2025 include improving LLM quality, broadening GenAI capabilities across Databricks products, and reinforcing our platform architecture to facilitate seamless AI interactions on a large scale.

Join Retell AI as a Senior Machine Learning EngineerRetell AI is at the forefront of revolutionizing the call center industry using groundbreaking voice AI technology. Within just 18 months of our inception, we have empowered thousands of businesses with our AI voice agents capable of managing sales, support, and logistics calls that traditionally required extensive human teams.Supported by renowned investors, including Y Combinator and Alt Capital, our journey has seen us scale from $5M to an impressive $36M ARR with a dedicated team of 20. Our ambition for 2026 is to develop a state-of-the-art customer experience platform, transforming entire contact centers with AI. We are building intelligent AI “workers” that will serve as frontline agents, quality assurance analysts, and managers—constantly executing, monitoring, and enhancing customer interactions.We are rapidly expanding and seeking passionate innovators eager to solve complex technical challenges and make a tangible impact in one of the fastest-growing voice AI startups. Together, let's shape the future of customer interactions.

Join our dynamic team at Sentry as a Staff Software Engineer specializing in AI Developer Tooling. In this pivotal role, you will contribute to the development and enhancement of cutting-edge AI tools that empower developers worldwide. Collaborate with cross-functional teams to identify challenges and deliver innovative solutions that optimize the software development lifecycle.

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.

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.

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 Us:At Ambience Healthcare, we aspire to redefine healthcare technology. We are creating an AI intelligence platform that brings humanity back to healthcare while delivering significant ROI for health systems nationwide.Our cutting-edge technology enables healthcare providers to concentrate on exceptional patient care by alleviating the administrative tasks that detract from their critical responsibilities. Ambience provides real-time, coding-aware documentation and clinical workflow support across various healthcare settings, including ambulatory, emergency, and inpatient environments, partnering with top health systems across North America.We are relentless in our pursuit of excellence, exhibiting extreme ownership as we develop optimal solutions for our health system partners. We value transparency, positivity, and profound insight — holding each other to high standards because the challenges we tackle are of utmost importance.Ambience has been recognized as the leading company for improving clinician experience in the KLAS Research Emerging Solutions Top 20 Report, named one of the Next Big Things in Tech by Fast Company, and selected as one of the best AI companies in healthcare by Inc. Additionally, we were honored as a LinkedIn Top Startup in 2024 and 2025. Our esteemed investors include Oak HC/FT, Andreessen Horowitz (a16z), OpenAI Startup Fund, and Kleiner Perkins — and we’re just getting started.The Role:As a Staff Machine Learning Engineer on the Frontier AI team at Ambience, you will tackle the most challenging model quality issues across our clinical AI products, including foundational coding models, adaptive scribing, voice agents, long-context chart understanding, and clinical reasoning. This role focuses on research direction, designing learning loops, and driving comprehensive improvements in model quality over time.Ambience delivers advanced clinical AI solutions in real-world healthcare environments. The models that fuel our products operate under unique constraints, including proprietary ontologies, complex electronic health record (EHR) data, stringent compliance requirements, and clinician workflows where both latency and accuracy are critical. You will leverage your deep research instincts and engineering rigor to push the boundaries of what is possible.Our engineering roles are hybrid, requiring in-office attendance at our San Francisco location three days a week.

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...

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.

About ApiphanyApiphany is an innovative AI company dedicated to advancing physical product development. We empower global leaders in industries such as automotive, aerospace, medtech, and energy to convert vast amounts of unstructured technical data into immediate, actionable insights. Supported by elite investors including Markforged, Databricks, GM, and Character, our mission is to transform engineering decision-making, simplifying complexity for the world's premier manufacturers.Our models are meticulously crafted to address the unique challenges of engineering and manufacturing. They are designed to comprehend principles of physics, design specifications, and program constraints. Our team is a select group of experts from prestigious institutions like Stanford, Berkeley, MIT, UW, and CMU, alongside veterans from GM, Ford, and Genesis Therapeutics. We are committed to redefining hard-tech and constructing a category-defining enterprise together.About the RoleAs a Machine Learning Engineer at Apiphany, you will architect and deploy cutting-edge machine learning models to address some of the most intricate challenges within the physical domain. You will create systems capable of reasoning with complex engineering data, developing AI that grasps physics, design limitations, and real-world performance trade-offs.This role is tailored for innovators eager to expand the horizons of AI applications in the tangible world.