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Job Description
📋 Description Build ML models for production use Perform in-depth exploratory data analysis to scope ML opportunities, identify data issues, and Suggest and implement new features to improve model performance and business logic Write and review production-quality PRs daily Translate client business problems into ML problems Build scalable ML models for claim time series forecasting and NLP text understanding 🎯 Requirements 2+ years as ML Engineer or Data Scientist in scalable production environments Deep exposure to data science & ML stacks (sklearn, Keras / PyTorch, tuning frameworks) Strong written and verbal communication; able to bridge technical and non-technical audiences Team player, solutions-oriented Experience leveraging Claude Code and related tools is a strong plus 🎁 Benefits Compensation: $190-225K base; annual bonus; RSUs Well-Being: Medical, dental, vision, disability, life insurance, AD&D, 401k matching Home & Family: Paid time off, sick leave, parental leave, flexible return Office Life: Catered lunches, happy hours, pet-friendly spaces, monthly tech stipend Growth & Training: $1,000/year for development, tuition reimbursement opportunities Sponsorship: Open to sponsoring candidates in the U.S. for visa transfer
