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About the role
This role focuses on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning. You will help ensure the platform selects the right action for the right member while respecting clinical eligibility, suppression rules, channel constraints, program goals, and operational capacity. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Bachelors in computer science or relevant field
- Deep familiarity with Markov Decision Processes, Bellman-equation-based value estimation, reward or objective shaping, exploration-exploitation tradeoffs, and constraint formulation in real-world decision systems
- Demonstrated ability to diagnose failure modes in learned or optimized policies: instability, poor credit assignment across long horizons, and distributional shift across large populations
- Proficiency in Python 3.x, experience with PyTorch or TensorFlow for policy network or learned model implementation
- Experience with Ray RLlib or equivalent distributed computation frameworks for large-scale training or optimization
- Experience with Databricks, PySpark, and Delta Lake for large-scale ML or data pipelines processing tens of millions of records
More about this role
The Senior Machine Learning Engineer, Decision Intelligence is a hands-on individual contributor responsible for building, deploying, and operating ML and decisioning pipelines for the NBA Decision Intelligence Platform.
This role focuses on production pipeline development, MLOps, feature engineering, scoring workflows, monitoring, and optimization-aware decisioning. You will help ensure the platform selects the right action for the right member while respecting clinical eligibility, suppression rules, channel constraints, program goals, and operational capacity.
You will work closely with ML engineers, data engineers, platform engineers, product owners, and decision engine teams to deliver reliable, scalable, and auditable production systems.
Additional Job Description
Bachelors in computer science or relevant field
5+ years (post undergraduate level) of software engineering or quantitative research experience building and operating large-scale production systems, with emphasis on data-intensive platforms, recommendation systems, optimization engines, or simulation frameworks serving millions of users.
2+ years (post graduate level) of software engineering or quantitative...
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