Machine Learning Engineer at Strava | San Francisco

About the OpportunityAt Unity, we are dedicated to fostering a culture of collaboration and innovation. Our dynamic environment allows us to tackle intricate challenges that create significant value for creators and users within our ecosystem.The Vector team is at the forefront of this mission, creating cutting-edge conversion rate (CVR) prediction and market price models that enhance our ad ranking and recommendation systems. These models enable advertisers to engage the right users at optimal moments by accurately assessing engagement and conversion probabilities. By harnessing extensive behavioral data, creative features, and contextual signals, we continually refine our predictions’ relevance and accuracy. This leads to crucial outcomes such as increased user engagement, improved conversion rates, and a better return on ad spend—empowering advertisers to meet their objectives while enhancing user experience.We are on the lookout for an experienced Senior Machine Learning Engineer to spearhead advanced bidding optimization systems that facilitate efficient budget management, goal-driven automated strategies, ongoing enhancements through experimentation, and sustainable growth for Unity Ads.

About UsAt Conversion, we're revolutionizing marketing automation with our AI-native platform designed specifically for modern software companies. The landscape of marketing today is fragmented by outdated tools and disconnected workflows. We're here to change that.Our solution empowers growth teams to seamlessly manage their go-to-market strategies from acquisition to retention, all within a single, fast, and personalized interface powered by AI.With over $28 million raised from leading investors like Abstract Ventures, True Ventures, and HOF Capital, we are rapidly scaling with a current ARR of over $5 million and supporting more than 4,000 customers.Join our dynamic team of high achievers in San Francisco. If you're passionate about crafting innovative, product-led marketing solutions and want to collaborate with world-class teammates, we can't wait to meet you!Over $28M in funding$0 to $6M ARR in less than 12 months, serving over 4,000 customersElite team with backgrounds from Airbnb, Palantir, Pinterest, IMC Trading, Shopify, LinkedIn, Microsoft, and moreAbout the RoleHi! I'm James, co-founder and CTO of Conversion. I want to share what we envision for our ideal candidate to join our engineering team.The challenge we face at Conversion is significant. The absence of new entrants in the marketing automation space for decades speaks to the complexity of building such platforms. Our system must reliably manage gigabytes of data syncs per customer, orchestrate intricate workflows for mission-critical processes, and handle revenue-generating form submissions while delivering high-quality emails to millions of recipients.We're seeking a backend software engineer who is:Product-focused: We value engineers who can take ownership of features, design, and implement them from start to finish. The best product managers often come from engineering backgrounds, as they can effectively assess both the benefits and costs of new features.

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.

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.

Join Our Team as an Executive AssistantAt Conversion, we're on a mission to revolutionize marketing automation for modern software companies. Our AI-native platform streamlines the chaotic world of marketing, ensuring that growth teams can effectively manage their entire go-to-market strategy from a single, efficient interface. With over $28 million in funding and a rapidly growing customer base of more than 4,000 clients, our team in San Francisco is eager to welcome a dynamic Executive Assistant who can thrive in our collaborative and fast-paced environment.As our first Executive Assistant, you will play a pivotal role in shaping our future. You will be responsible for managing the founders' calendars, coordinating meetings, and facilitating communication to maximize productivity. Your contributions will extend to building recruiting pipelines, organizing team events, and scouting locations for our next office space. If you are passionate about helping teams succeed and enjoy tackling diverse challenges, we want to hear from you!

About UsAt Preference Model, we are revolutionizing the future of AI by developing the next generation of training data. While current models demonstrate great power, their effectiveness is limited in diverse applications due to many tasks being out of distribution. We create reinforcement learning environments where models can face real-world research and engineering challenges, allowing them to iterate and learn via realistic feedback loops.Our founding team, hailing from Anthropic's data team, has a rich background in building data infrastructure, tokenizers, and datasets that power Claude. We collaborate with leading AI labs to accelerate AI’s transformative potential and are proudly backed by a16z.About the RoleWe are looking for skilled Machine Learning Engineers to join our efforts in constructing distributed training infrastructure for our reinforcement learning initiatives. Your responsibilities will include:Designing and implementing scalable distributed training infrastructure utilizing PyTorch and Ray.Developing automation tools for monitoring, debugging, and recovery in distributed training environments.Ensuring the reliability, security, and performance of infrastructure to meet the high demands of large-scale machine learning workloads.About YouWe seek individuals with the following qualifications and traits:Required Technical Skills:Experience in building and managing ML infrastructure at scale.Expertise in PyTorch and distributed training paradigms.Hands-on experience with Ray.Familiarity with at least one modern RL training framework such as verl, NeMo-RL, ART, Atropos, or similar.Proficiency in Python and systems programming.Experience with container orchestration tools (Kubernetes), and infrastructure as code methodologies (Terraform).What Makes You Successful:Strong systems thinking with an ability to design for scalability.Exceptional debugging skills across the entire technology stack.A collaborative mindset and strong communication skills to effectively liaise with researchers and engineers.Self-motivated and capable of solving problems independently while taking ownership of projects.

The Bot CompanyAt The Bot Company, we are on a mission to create an innovative robotic assistant for every household.Our dynamic team, composed of talented engineers, designers, and operators, is based in San Francisco. We have a rich background from industry leaders such as Tesla, Cruise, OpenAI, Google, and Pixar, and we have successfully delivered products to hundreds of millions of users, honing our ability to create exceptional products and experiences.We pride ourselves on maintaining a streamlined team structure that fosters swift decision-making and minimizes bureaucracy. Each member is considered an Individual Contributor, granted substantial autonomy, ownership, and accountability. Our culture enables us to work across the technology stack with an emphasis on rapid iteration and execution.What We Seek in CandidatesCandidates for all positions at The Bot Company must exhibit remarkable sharpness and the capacity to thrive in high-pressure environments. We expect candidates to showcase:Exceptional Cognitive Abilities: You possess quick thinking, instant learning capabilities, and the ability to reason across diverse domains.Engineering Curiosity: You demonstrate an innate desire to understand how systems function, even beyond your area of expertise.Performance-Driven Attitude: You excel in fast-paced settings, effectively navigate ambiguity, and thrive under demanding circumstances.Machine Learning: Multimodal Foundation ModelsWe are developing unified foundation models capable of reasoning across text, images, video, and kinematics to inform intelligent robotic behaviors.You will engage with large-scale multimodal networks, overseeing the complete process from data handling to model training and deployment.Your ResponsibilitiesConstruct Native Multimodal Policies: Create architectures where vision, language, and other modalities are represented in a unified manner.Enhance Cross-Modal Reasoning: Explore and implement strategies to ensure that the model not only correlates modalities but also comprehends them (e.g., linking visual physics to kinematic constraints).Manage the Training Loop from Start to Finish: Design, execute, troubleshoot, and refine large-scale training experiments; identify failure points, enhance data mixtures, and tighten evaluations to achieve measurable improvements.Deploy and Refine Real Systems: Integrate models into practical robotic frameworks, enhance robot code for model deployment, and optimize performance for edge inference.

About Mariana MineralsMariana Minerals is a pioneering software-driven, vertically integrated minerals company dedicated to supplying the essential minerals that fuel modern energy, artificial intelligence, and defense technologies. We are transforming the minerals supply chain by leveraging extensive industry knowledge alongside cutting-edge software, automation, and data-centric decision-making.The RoleAs we build the critical minerals supply chain from the ground up, we seek a highly skilled Senior Machine Learning Engineer to help drive our autonomous operations.Unlike traditional software companies, we are a mining company that develops our own software solutions. Mariana designs, builds, commissions, and operates our own mines and refineries, where we create proprietary chemical processes. Currently, we are producing battery-grade lithium salts from real oil and gas wastewater at our facilities. Our first commercial-scale lithium production facility, Lithium One, is set to commence initial production in the first half of 2027.In your role as a Senior Machine Learning Engineer, you will spearhead the design and implementation of machine learning systems that directly optimize the operations of our mineral refining facilities and guide significant investment and operational decisions. Your contributions will be visible in tangible metrics such as recovery rates, energy consumption, reagent usage, and equipment uptime.The TechThis position involves some of the most compelling applied AI work available today.Our internal platform, PlantOS, utilizes the same reinforcement learning frameworks that power self-driving cars and humanoid robots, adapted for the autonomous and short-interval control of mineral refining circuits. Our models dynamically adjust operating parameters in real time, optimizing for lithium recovery, reagent consumption, energy efficiency, and equipment uptime simultaneously.The working environment is complex and ever-changing; variations in wastewater compositions, ore grades, and aging equipment require the system to adapt continuously. The ultimate objective is to achieve fully autonomous refining operations—when you implement your solutions here, you will witness the physics of the process evolve.What You’ll DoCollaborate closely with Mariana’s process chemistry and engineering teams to develop innovative, data-driven models of core chemical unit operations.Train and deploy reinforcement learning models to optimize operational processes.

Preference Model creates new types of training data to help artificial intelligence systems improve beyond their current limits. The team specializes in building reinforcement learning environments that test both research and engineering abilities, giving models the chance to learn from realistic feedback. Founded by former members of Anthropic’s data division, Preference Model draws on experience building data infrastructure, tokenizers, and datasets for Claude. The company partners with top AI labs and is backed by a16z. Role overview This entry-level machine learning engineer position is based in San Francisco and is intended for recent graduates. The focus is on building and maintaining the infrastructure that powers Preference Model’s reinforcement learning training pipeline. The team is small, so each engineer takes responsibility for their projects. Deep production experience is not required, but strong technical fundamentals, curiosity about reinforcement learning, and the ability to learn quickly are essential. What you will do Develop and scale distributed training systems with PyTorch Design automation for monitoring, debugging, and recovery during large-scale training runs Collaborate with researchers to turn RL training experiments into dependable infrastructure Enhance performance and reliability for GPU and TPU workloads Requirements Recent graduate (BS, MS, or PhD) in Computer Science, Machine Learning, or a related field Interest in reinforcement learning and AI infrastructure

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.

Join Our Mission to Empower Communities! At GoFundMe, we are the leading global platform dedicated to helping people support each other. Since our inception in 2010, we've facilitated over $40 billion in fundraising, uniting individuals and nonprofits in a safe and engaging environment. We are seeking a passionate and experienced Senior Manager, Machine Learning Engineering to join our Applied Science team. In this pivotal role, you will spearhead a dynamic team tasked with creating impactful machine learning solutions that enhance user experiences and drive business growth. Your responsibilities will include designing, developing, and deploying cutting-edge services and applications utilizing advanced machine learning and AI methodologies, such as generative AI, personalized recommendations, search systems, and classification techniques. This position requires exemplary leadership capabilities to ensure both strategic vision and tactical execution, backed by your extensive knowledge of machine learning, AI, and secure software practices. This role is based in the vibrant San Francisco Bay Area, with an expectation of being in the office three times a week.

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.

At Lyft, we are driven by our mission to connect and serve our communities. We strive to foster a workplace where every team member feels valued and has the opportunity to excel. With over half a billion rides and counting, Lyft is tackling complex challenges on a grand scale, utilizing cutting-edge AI and Machine Learning technologies to enhance customer experiences. The Artificial Intelligence, Machine Learning, and Operations Research Platforms team (AIMLOR) is on the lookout for a Senior Machine Learning Engineer who will play a pivotal role in constructing AI Platform components that empower essential AI applications across Lyft. Mastery in Generative AI and platform development is crucial for this position. You will contribute to our platform that facilitates real-time, online, and offline AI and ML model execution, development, and iteration. Collaborating with a team of talented Machine Learning and Software Engineers, you will work on intricate problems and define solutions that make a direct impact on our systems throughout the organization. If you are enthusiastic about building an AI Platform at scale with applications spanning every aspect of our company, we want to hear from you. If you are a creative thinker with a strong background in AI and machine learning systems and are passionate about leveraging data to solve business challenges in a dynamic, innovative, and collaborative environment, we invite you to apply.

Join Prima MenteAt Prima Mente, we are pioneers in the field of biology-focused artificial intelligence. Our mission is to generate unique datasets, develop versatile biological foundation models, and translate scientific breakthroughs into real-world clinical applications. Our primary focus is on understanding the brain in-depth, safeguarding it from neurological disorders, and enhancing its function during health. Our dynamic team of AI researchers, experimentalists, clinicians, and operational experts are strategically located in London, San Francisco, and Dubai.Your Role: Foundation Models for BiologyAs a Machine Learning Engineer, you will be instrumental in the design, implementation, and scaling of foundational AI models and infrastructure for multi-omics at an unprecedented scale. Your contributions will facilitate significant advancements in scientific comprehension and lead to groundbreaking applications in the medical and biological fields.Key Responsibilities:Develop high-performance machine learning algorithms optimized for large-scale applications, ensuring utmost reliability and efficiency.Design, implement, and maintain comprehensive experimentation pipelines that allow for rapid iterations, precise assessments, and reproducible research results.Refactor and enhance prototype research code into clean, maintainable, and efficient repositories prepared for production-level deployments.Create fast data processing workflows that can effectively manage extensive datasets to expedite research and model development.Engage in experimental design, with a focus on high-impact experiments that yield the greatest signal-to-noise ratio.Growth ExpectationsIn 1 month, you will initiate initial experiments utilizing state-of-the-art machine learning models, review and apply advanced research papers, and enhance existing code for improved efficiency and precision.By 3 months, you will take ownership of a prototype model architecture, showcasing notable algorithmic enhancements, and contribute to methods for large-scale data ingestion and training.Within 6 months, you will have significantly impacted the implementation of a high-performance foundation model, incorporating key algorithmic optimizations that improve scalability and throughput, along with publishing internal benchmarks that demonstrate substantial effects.

The Applied AI team at Databricks is dedicated to pioneering advancements in GenAI-driven products. In recent years, we have successfully launched notable innovations such as the Databricks Assistant, AI/BI Genie, and Agent Bricks. These products are utilized by hundreds of thousands of Databricks users daily. We are addressing complex challenges such as code suggestions, error detection and correction, text-to-SQL generation, automatic pipeline creation, and knowledge QA. As our GenAI products continue to advance, we are on the lookout for multiple GenAI Engineers, ranging from junior to senior levels, to spearhead the next phase of development. In 2025, our focus will be on enhancing the quality of LLMs, broadening GenAI functionalities across Databricks products, and fortifying our platform architecture to facilitate seamless AI interactions at scale.

Join Our Innovative Team at KiddomAt Kiddom, we are revolutionizing education through our cutting-edge platform that champions student equity and growth. We seamlessly integrate high-quality instructional materials with engaging digital learning experiences. Our robust curriculum management tools empower schools and districts to effectively manage their curriculum, leading to personalized learning experiences that cater to the unique needs and aspirations of local communities. Our high-quality curriculum is enriched with insightful data analytics for teachers and leaders, fostering continuous improvement in instructional strategies, school programming, and professional development.Your Role and ResponsibilitiesAs a vital member of Kiddom’s AI team, you will play a critical role in developing the backbone of our search, recommendation, and insights systems. Your contributions will directly enhance the experience of teachers and students by providing timely insights, personalized content, and intelligent assistance tailored to their needs.

Join Our Team at GridwareAs a Senior Machine Learning Engineer specializing in Multi-Sensor Modeling, you will be at the forefront of developing innovative solutions that enhance the reliability and safety of the electrical grid. Our groundbreaking Active Grid Response (AGR) platform leverages cutting-edge technology to monitor various aspects of the grid, enabling proactive maintenance and fault mitigation. Your expertise will play a pivotal role in advancing our mission to protect the grid and ensure efficient operations. Are you ready to make a significant impact?

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 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...