{"schemaVersion":"jobsearcher.job.v1","id":"6eea4ec52d3562dfd4d20ba2","url":"https://jobsearcher.com/jobs/6eea4ec52d3562dfd4d20ba2","canonicalUrl":"https://jobsearcher.com/jobs/6eea4ec52d3562dfd4d20ba2","title":"Lead Machine Learning Engineer","description":"About Saris AI\nWe're a San Francisco, Montreal and Toronto based applied AI startup that's building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what’s possible with multi-turn AI agentic systems\nOur goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers.\nWe’ve shipped real agents that handle real customer workflows in production. With a growing customer base and live deployments, we’re scaling up fast and looking for deeply technical builders who want to have outsized impact early.\nOur core engineering team is looking for a hands-on ML Engineering Lead who thrives in early-stage, ambiguous environments. You’ve led ML systems from v1 to scale, and enjoy defining both the technical direction and the systems that power them.\n\nYour mission is to\nOwn and lead the ML/AI function end-to-end, setting technical direction and standards across the company\nArchitect and guide the development of multi-modal, agentic AI systems powering real-world workflows\nDefine and oversee evaluation frameworks, datasets, and performance metrics to continuously improve agent quality\nDrive productionization of ML systems, ensuring reliability, scalability, and compliance in real-world environments\nBuild and mentor a high-performing ML team over time, setting best practices across modeling, experimentation, and deployment\n\nWho You Are\n8+ years of experience in ML/AI engineering, including time as a technical lead or manager\nProven track record of leading ML initiatives end-to-end, from problem definition production deployment\nDeep experience with LLMs and/or agentic systems, ideally in real-world, customer-facing applications\nStrong understanding of ML fundamentals (deep learning, transformers, model evaluation, tradeoffs)\nExperience scaling ML systems in production, including monitoring, iteration, and reliability\nDemonstrated ability to lead engineers, influence architecture decisions, and drive technical direction\nComfortable operating in early-stage, ambiguous environments with high ownership\nStrong communication skills with the ability to translate complex ML concepts into clear decisions\n\nBonus Points If You\nHave experience building agentic systems, orchestration layers, or long-context reasoning systems\nAre comfortable across the stack (data modeling infra APIs)\nHave worked with both open-source and closed LLMs, including fine-tuning or retrieval systems (RAG)\nHave a strong product mindset and care deeply about real-world impact, not just model performance\n\nWhy Join Saris AI?\nJoin us in building the future of work for the trillion-dollar banking industry using cutting edge AI technology.\nTackle ambiguous technical challenges with no clear answers.\nCompetitive compensation with premium benefits and equity package.\nWork with a stellar team of engineers, builders, and leaders; including repeat YC founders with a successful exit (Ready Education).\nWe already have production agents live with revenue-generating customers\nOur team is backed by Tier 1 Silicon Valley VCs","company":"Saris","rawCompany":"saris","city":"Millbrae","state":"CA","isRemote":false,"isActive":false,"createdAt":"2026-08-03T23:33:08.797Z","occupations":[{"code":"15-1221.00","title":"Computer and Information Research Scientists","slug":"computer-and-information-research-scientists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"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":"Lead Machine Learning Engineer","description":"About Saris AI\nWe're a San Francisco, Montreal and Toronto based applied AI startup that's building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what’s possible with multi-turn AI agentic systems\nOur goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers.\nWe’ve shipped real agents that handle real customer workflows in production. With a growing customer base and live deployments, we’re scaling up fast and looking for deeply technical builders who want to have outsized impact early.\nOur core engineering team is looking for a hands-on ML Engineering Lead who thrives in early-stage, ambiguous environments. You’ve led ML systems from v1 to scale, and enjoy defining both the technical direction and the systems that power them.\n\nYour mission is to\nOwn and lead the ML/AI function end-to-end, setting technical direction and standards across the company\nArchitect and guide the development of multi-modal, agentic AI systems powering real-world workflows\nDefine and oversee evaluation frameworks, datasets, and performance metrics to continuously improve agent quality\nDrive productionization of ML systems, ensuring reliability, scalability, and compliance in real-world environments\nBuild and mentor a high-performing ML team over time, setting best practices across modeling, experimentation, and deployment\n\nWho You Are\n8+ years of experience in ML/AI engineering, including time as a technical lead or manager\nProven track record of leading ML initiatives end-to-end, from problem definition production deployment\nDeep experience with LLMs and/or agentic systems, ideally in real-world, customer-facing applications\nStrong understanding of ML fundamentals (deep learning, transformers, model evaluation, tradeoffs)\nExperience scaling ML systems in production, including monitoring, iteration, and reliability\nDemonstrated ability to lead engineers, influence architecture decisions, and drive technical direction\nComfortable operating in early-stage, ambiguous environments with high ownership\nStrong communication skills with the ability to translate complex ML concepts into clear decisions\n\nBonus Points If You\nHave experience building agentic systems, orchestration layers, or long-context reasoning systems\nAre comfortable across the stack (data modeling infra APIs)\nHave worked with both open-source and closed LLMs, including fine-tuning or retrieval systems (RAG)\nHave a strong product mindset and care deeply about real-world impact, not just model performance\n\nWhy Join Saris AI?\nJoin us in building the future of work for the trillion-dollar banking industry using cutting edge AI technology.\nTackle ambiguous technical challenges with no clear answers.\nCompetitive compensation with premium benefits and equity package.\nWork with a stellar team of engineers, builders, and leaders; including repeat YC founders with a successful exit (Ready Education).\nWe already have production agents live with revenue-generating customers\nOur team is backed by Tier 1 Silicon Valley VCs","datePosted":"2026-08-03T23:33:08.797Z","dateModified":"2026-08-03T23:33:08.797Z","hiringOrganization":{"@type":"Organization","name":"Saris","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Millbrae","addressRegion":"CA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"6eea4ec52d3562dfd4d20ba2"},"url":"https://jobsearcher.com/jobs/6eea4ec52d3562dfd4d20ba2"}}