Senior Machine Learning Engineer, EvolutionIQ

• You are an ML Engineer / Data Scientist with 3+ years of experience, especially 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’re a team player who is solutions-oriented
• You have crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences

Desirable

• An ML expert 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/LLM-driven features for our claim guidance product, including robust extraction of key information from complex medical documents and human-in-the-loop workflows
• 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