Remote ML Engineer - Real-Time Production Systems, Equity

Harnham; Chicago (IL); Remote; USD 180,000 - 200,000; Full time

Benefits offered by this job

Fully remote USA

4 day work week

Unlimited PTO

Bonus and equity

Parental leave and L&D support

Job summary

Harnham is hiring a high-impact Machine Learning Engineer to build and scale production systems for real-time decisioning. You will join an AI Lab and own end-to-end ML pipelines that drive commercial outcomes at scale, while contributing to ML research.

The role requires strong experience deploying ML models, hands-on distributed computing with Spark, and proficiency in Python and SQL. You will collaborate with Product, Engineering, and Risk teams to deliver production-ready solutions and own

Qualifications

• Proven track record delivering production ML systems.
• Experience with real-time decisioning and scalable pipelines.
• Hands-on with Spark and distributed computing.

Responsibilities

• Design and deploy production-grade ML models for real-time decisioning.
• Build scalable ML pipelines to support rapid experimentation.
• Collaborate with Product, Engineering, and Risk teams.
• Own projects end to end with production accountability.

Skills

ML model development

Python

SQL

Experiment design

Distributed computing

Tools

Spark

Job description

Harnham is hiring a high-impact Machine Learning Engineer to build and scale production systems for real-time decisioning. You will join an AI Lab and own end-to-end ML pipelines that drive commercial outcomes at scale, while contributing to ML research.

The role requires strong experience deploying ML models, hands-on distributed computing with Spark, and proficiency in Python and SQL. You will collaborate with Product, Engineering, and Risk teams to deliver production-ready solutions and own