Machine Learning Engineer

Responsibilities: Own the end-to-end machine learning lifecycle, including data curation, model development, evaluation, deployment, and ongoing monitoringDesign, train, and validate computer vision models using frameworks such as PyTorchDevelop image enhancement pipelines for in vivo constraintsOptimize model performance across accuracy, latency, and compute constraintsImplement neural compression techniquesBuild and maintain dataset infrastructureDeploy models into production environments using CI/CD and monitoringContribute to localization and pose estimationSupport perception systems for navigation and scene understandingCollaborate with simulation and visualization teamsMentor interns and junior engineersCommunicate technical work clearlyRequirements 4+ years of ML engineering experience (or equivalent) Experience deploying production computer vision modelsStrong foundation in deep learningProficiency in Python and PyTorchExperience with MLOps toolsStrong software engineering fundamentalsStrong communication skillsExperience with image enhancement, compression, or perception systemsTechnologiesPythonPyTorchMLOpsCI/CDCI/CD and monitoringNice to haveMedical imaging experience (e.g., DICOM) Familiarity with C# or UnityExperience with SLAM or localizationExperience in robotics or autonomous systemsLocationOn-site in Hayward, CA (limited hybrid flexibility) Compensation$130,000 - $180,000 base salary per yearEquity and benefits includedPay range: $130,000.00 - $180,000.00 per yearWork authorizationMust be authorized to work in the U.S.Employment statusAt-will employmentAccommodationsReasonable accommodations provided