Senior ML Engineer - Dynamic Pricing & Production

tem; United States; Remote; USD 154,000 - 175,000; Full time

Benefits offered by this job

Stock options

25 days holiday + public holidays

Remote work across Europe

Wellbeing budget

Job summary

tem is hiring a Staff Machine Learning Engineer (L4) for Pricing in Rosso. You will own core components of a live dynamic pricing system, designing and running experiments, and ensuring changes are observable and safe for production.

You will collaborate across engineering, platform and commercial teams to move pricing metrics and governance forward. The role emphasizes shipping production code, building guardrails, and translating business feedback into data-driven bets.

Qualifications

• You write production-grade code and ship it as a core responsibility.
• You have run live ML systems with money attached and handled their production failures.

Responsibilities

• Own components of the dynamic pricing system end to end, from design to production.
• Design experiments and holdouts for low-volume, high-value deals.
• Make pricing decisions reproducible for debugging and regulators.
• Collaborate with the Price Quoting squad and ML Platform to productionize models.
• Explain model behaviour to engineers, product and commercial colleagues clearly.

Skills

Production-grade Python

Probabilistic modelling

Experiment design

Observability

Cross-functional collaboration

Education

PhD in Mathematics/Physics/CS/OR

Tools

Docker

Kubernetes

CI/CD

AWS

Job description

tem is hiring a Staff Machine Learning Engineer (L4) for Pricing in Rosso. You will own core components of a live dynamic pricing system, designing and running experiments, and ensuring changes are observable and safe for production.

You will collaborate across engineering, platform and commercial teams to move pricing metrics and governance forward. The role emphasizes shipping production code, building guardrails, and translating business feedback into data-driven bets.