[Remote] ML Engineer

Note: The job is a remote job and is open to candidates in USA. Docker, Inc is a leading brand in developer tooling, trusted by millions of users worldwide. They are seeking a ML Engineer to be a founding member of their Intelligence Org, focusing on building machine learning systems that enhance governance and security capabilities within the Docker platform.ResponsibilitiesDesign, train, evaluate, and ship ML systems that power governance and security capabilities, starting with problems like prompt injection detection, behavioral anomaly detection, trust scoring, and policy recommendationsBuild the supporting infrastructure: data pipelines, feature stores, model serving, evaluation harnesses, and the feedback loops that make iteration fastMake pragmatic build-vs-buy calls. Use frontier models, off-the-shelf tooling, and managed services to move quickly; invest in custom systems where they create durable advantageSet technical direction for the team's ML work. Own the architecture, evaluation methodology, model lifecycle, and the bar for shippingHelp recruit, mentor, and shape the team as it growsThis role may require participation in a 24/7 on-call rotation for the Agentic Platform; carry genuine pager responsibility for the services you build and operateSkills5+ years of deep applied ML/AI expertise with a track record of shipping production systems. Experience in fraud, abuse, safety, security, or trust domains, where adversarial dynamics, imbalanced data, and high-stakes decisions is valuable4+ years of professional, hands-on, full-time software engineering experience in backend, infrastructure, or platform engineeringBachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experienceYou've built and owned the systems around ML models, i.e. data pipelines, serving, evaluation, monitoring etc. and have shipped customer-facing products end to endYou use modern AI tools fluently in your day-to-day work and have a sharp instinct for when frontier models can replace traditional ML, when they can't, and when to combine the twoExperience with LLM-based systems in production - evaluation, prompt engineering, fine-tuning, retrieval, guardrails, agent frameworksFamiliarity with the agent / MCP ecosystemYou're energized by an early-stage effort where the roadmap is being written as the work happens, and you make crisp decisions with incomplete informationCollaborative and low-ego. You work well across teams, write clearly, and bring others alongBenefitsOffers EquityFreedom & flexibility; fit your work around your lifeDesignated quarterly Whaleness Days plus end of year Whaleness breakHome office setup; we want you comfortable while you work16 weeks of paid Parental leave (after 6 months of employment)Technology stipend equivalent to $100 USD net/monthPTO plan that encourages you to take time to do the things you enjoyTraining stipend for conferences, courses and classesDocker SwagMedical benefits, retirement and holidays vary by countryRemote-first culture, with offices in Seattle and ParisCompany OverviewAt Docker, we simplify the lives of developers who are making world-changing apps. It was founded in 2011, and is headquartered in Palo Alto, California, USA, with a workforce of 501-1000 employees. Its website is https://www.docker.com.Company H1B SponsorshipDocker, Inc has a track record of offering H1B sponsorships, with 1 in 2025, 1 in 2023, 1 in 2022, 2 in 2021, 1 in 2020. Please note that this does not guarantee sponsorship for this specific role.