{"schemaVersion":"jobsearcher.job.v1","id":"93b86a2079fb6dc8f4b18f63","url":"https://jobsearcher.com/jobs/93b86a2079fb6dc8f4b18f63","canonicalUrl":"https://jobsearcher.com/jobs/93b86a2079fb6dc8f4b18f63","title":"Machine Learning Engineer","description":"About the RoleYou'll be building AI models that make human-like conversations possible. You'll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You'll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you'll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.\r\nAbout the RoleDesign, build, and maintain scalable ML systems from data ingestion and preprocessing to training, testing, and deployment.\r\nDevelop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.\r\nImplement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.\r\nCollaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.\r\nEnsure data quality, observability, and performance across all AI systems.\r\nStay current with the latest in AI infrastructure, tooling, and research helping us stay ahead of the curve.\r\nMust HaveStrong experience in machine learning, deep learning, and NLP.\r\nSolid background in MLOps and data pipelines e.g., model deployment, monitoring, and scaling in production environments.\r\nProficiency in Python and familiarity with Go.\r\nExperience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).\r\nAbility to design ML systems for robustness, scalability, and automation.\r\nStrong coding, debugging, and data engineering skills.\r\nPassion for AI infrastructure and its real-world impact.\r\nFounder mindset: ownership, independence, and willingness to go deep.\r\nNice to HaveExperience in speech recognition, TTS, or audio processing.\r\nFamiliarity with LLMs, generative AI, or real-time inference systems.\r\nHands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).\r\nPrior experience in startup environments with fast iteration cycles.\r\nKnowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).\r\nWhy Join Us?Opportunity to work at a high-growth AI startup, backed by top investors.\r\nRapidly growing and backed by top investors including a16z, Y Combinator, and Base10.\r\nOwnership & Autonomy - Take full ownership of projects and ship fast.\r\nTop-Tier Compensation - Competitive salary + equity in a high-growth startup.\r\nComprehensive Benefits - Healthcare, dental, vision coverage.\r\nWork With the Best - Join a world-class team of engineers and builders\r\nOur Operating Principles\r\nExtreme Ownership\r\nWe take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting if something needs fixing, we own it and make it better. This means stepping up, even when it's not \"your job.\" If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it we lead with accountability and expect the same from those around us.\r\nCraftsmanship\r\nPutting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for \"just fine.\" We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build even when nobody's watching.\r\nWe are \"majos\"\r\nBe friendly & have fun with your coworkers. Always be genuine & honest, but kind. \"Majo\" is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.\r\nUrgency with Focus\r\nCreate the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high-speed marathon not a sprint with no strategy.\r\nTalent Density and Meritocracy\r\nHire only people who can raise the average; 'exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players that's how we win.\r\nFirst-Principles Thinking\r\nStrip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible.","company":"Happy Robot","rawCompany":"happy robot","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-04-09T08:06:03.443Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Machine Learning Engineer","description":"About the RoleYou'll be building AI models that make human-like conversations possible. You'll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. You'll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, you'll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.\r\nAbout the RoleDesign, build, and maintain scalable ML systems from data ingestion and preprocessing to training, testing, and deployment.\r\nDevelop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.\r\nImplement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.\r\nCollaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.\r\nEnsure data quality, observability, and performance across all AI systems.\r\nStay current with the latest in AI infrastructure, tooling, and research helping us stay ahead of the curve.\r\nMust HaveStrong experience in machine learning, deep learning, and NLP.\r\nSolid background in MLOps and data pipelines e.g., model deployment, monitoring, and scaling in production environments.\r\nProficiency in Python and familiarity with Go.\r\nExperience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).\r\nAbility to design ML systems for robustness, scalability, and automation.\r\nStrong coding, debugging, and data engineering skills.\r\nPassion for AI infrastructure and its real-world impact.\r\nFounder mindset: ownership, independence, and willingness to go deep.\r\nNice to HaveExperience in speech recognition, TTS, or audio processing.\r\nFamiliarity with LLMs, generative AI, or real-time inference systems.\r\nHands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster).\r\nPrior experience in startup environments with fast iteration cycles.\r\nKnowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes).\r\nWhy Join Us?Opportunity to work at a high-growth AI startup, backed by top investors.\r\nRapidly growing and backed by top investors including a16z, Y Combinator, and Base10.\r\nOwnership & Autonomy - Take full ownership of projects and ship fast.\r\nTop-Tier Compensation - Competitive salary + equity in a high-growth startup.\r\nComprehensive Benefits - Healthcare, dental, vision coverage.\r\nWork With the Best - Join a world-class team of engineers and builders\r\nOur Operating Principles\r\nExtreme Ownership\r\nWe take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting if something needs fixing, we own it and make it better. This means stepping up, even when it's not \"your job.\" If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don't wait for someone else to solve it we lead with accountability and expect the same from those around us.\r\nCraftsmanship\r\nPutting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for \"just fine.\" We sweat the details because details compound. Whether it's a product feature, an internal doc, or a sales call we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build even when nobody's watching.\r\nWe are \"majos\"\r\nBe friendly & have fun with your coworkers. Always be genuine & honest, but kind. \"Majo\" is our way of saying: be a good human. Be approachable, helpful, and warm. We're building something ambitious, and it's easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.\r\nUrgency with Focus\r\nCreate the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We're running a high-speed marathon not a sprint with no strategy.\r\nTalent Density and Meritocracy\r\nHire only people who can raise the average; 'exceptional performance is the passing grade.' Ability trumps seniority. We believe the best teams are built on talent density every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players that's how we win.\r\nFirst-Principles Thinking\r\nStrip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don't copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It's how we build what others think is impossible.","datePosted":"2026-04-09T08:06:03.443Z","dateModified":"2026-04-09T08:06:03.443Z","hiringOrganization":{"@type":"Organization","name":"Happy Robot","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"93b86a2079fb6dc8f4b18f63"},"url":"https://jobsearcher.com/jobs/93b86a2079fb6dc8f4b18f63"}}