Senior Machine Learning Engineer

Who you are

• 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments
• You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions
• You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences
• You’re a team player who is solutions-oriented
• Experience leveraging Claude Code and related tools is a strong plus
• Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
• Owned and deployed, and maintained model-serving pipelines in production
• Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns
• Experience with advanced statistical modeling, especially probabilistic programming
• Ambitious, collaborative, and empathetic values
• A work style that is open to giving and receiving critical feedback and collaborating effectively across teams

What the job involves

• A Senior Machine Learning Engineer who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact, and are constantly driving toward launch and delivery thanks to your high degree of ownership and control
• You love working on new and challenging problems, not incremental or marginal improvements, and you're supercharged by having interesting, unsolved problems continually present themselves
• Build ML models for production use
• Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
• 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 machine learning models for claim time series forecasting and NLP text understanding
• Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets

Benefits

• Premium Medical Insurance Plan – Empire Blue Cross Blue Shield Medical insurance
• 401K with employer matching
• Dental Coverage – Principal Financial
• Life insurance / ACDC coverage – Reliance Standard
• Vision – Reliance Standard
• Short Term and Long Term Disability – Unum
• Employee stock option plan
• $500 to get you started setting up your home office and $200 every year for upgrades after that