The company is looking to improve the lives of injured and disabled workers and enable them to return to the workforce by leveraging machine learning and AI solutions.
Requirements
- Deep exposure to data science & AI tech stacks (sklearn, Keras / PyTorch, LLM / gen AI frameworks, tuning frameworks, A/B experimentation)
- Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and following SWE best practices
- Experience translating state-of-the-art research papers into production code
- Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
- Experience with advanced statistical modeling, especially probabilistic programming
- Experience building production agentic systems
- Experience with Python/Pandas/Jupyter
Responsibilities
- 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
- Build ML models for production use, write and review production-quality PRs daily
- Translate client business problems into ML problems
- Build scalable machine learning models for claim time series forecasting, NLP text understanding, and generative AI solutions
- Mentor and guide more junior MLEs across the organization to drive towards technical excellence in ML workflows and product deliveries
- Work closely with product & engineering stakeholders to identify business opportunities and technical feasibility using ML/AI
Other
- 5+ years of experience, especially in highly scalable production environments, with a proven track record of quickly getting from idea to production
- 2+ years of experience leading teams of 5+ ML engineers in high stakes production environments
- Crisp written and verbal communication skills and can effectively correspond between technical and non-technical audiences
- Ambitious, collaborative, and empathetic values
- A work style that is open to giving and receiving critical feedback and collaborating effectively across teams
