Machine Learning Engineering Manager

About the role

A high-impact Machine Learning Engineering role focused on building and scaling production systems for real-time decisioning. You will manage a team of four and own end‑to‑end ML pipelines, delivering models that drive commercial outcomes at scale while contributing to research within the AI Lab.

Key responsibilities

• Build and deploy production‑grade ML models for real‑time systems.
• Design scalable ML pipelines and infrastructure for high‑throughput environments.
• Develop offline experimentation and evaluation frameworks.
• Improve model performance through statistical methods and feature engineering.
• Work with distributed systems and large‑scale data processing.
• Partner with cross‑functional teams to deliver ML solutions aligned to business needs.
• Own the full lifecycle from experimentation to production and monitoring.

Required profile

• Strong commercial experience in Machine Learning Engineering.
• Expertise in Python, SQL, and distributed frameworks such as Spark.
• Deep understanding of model evaluation, experimentation, and statistics.
• Experience building scalable ML systems from first principles.
• Proven team leadership experience.

Required skills

• Python
• SQL
• Spark

What we offer

• $200,000‑$240,000 base salary plus bonus and equity.
• Fully remote working in the United States.
• Unlimited paid time off and flexible working arrangements.
• Comprehensive health and financial benefits, including a 401(k) plan.
• Learning budget and clear ownership of high‑impact systems.