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.

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.

Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching.
Additional family, wellness, and pet benefits.
Paid time off and sick leave.
100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers).
Flexible schedule for new parents returning to work.
Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
$1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement.
We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa.

Senior Machine Learning Engineer – AI Insurtech

Key skills