Senior Decision Intelligence Engineer

About the role

Builds, deploys and runs machine learning and decisioning pipelines for a decision intelligence platform. Ensures the platform picks the right action for each member while respecting clinical eligibility, channel limits and operational capacity.

At a glance

• PayNot stated in the posting
• Remote scopeRemote, worldwide
• Posted3 Oct 2026
• Last checked19 Oct 2026

What you will do

• Develop and operate production ML and decisioning pipelines
• Handle feature engineering, scoring workflows, monitoring and optimization
• Collaborate with ML, data and platform engineers, product owners and decision engine teams
• Deliver reliable, scalable and auditable production systems
• Diagnose failure modes in learned or optimized policies

What they look for

• Bachelor's degree in computer science or a related field
• Five or more years of software engineering or quantitative research on large-scale production systems
• Two or more years implementing reinforcement learning, operations research or simulation-driven decision systems
• Familiarity with Markov decision processes, value estimation and reward shaping
• Proficiency in Python 3.x with PyTorch or TensorFlow
• Experience with Databricks, PySpark, Delta Lake, MLflow and Ray RLlib

Nice to have

• Experience with multi-agent reinforcement learning frameworks
• Knowledge of linear, mixed-integer or constraint programming methods
• Experience in regulated domains such as healthcare, finance or insurance
• Building simulation environments with Gymnasium, SimPy or AnyLogic