Senior ML Engineer: Real-Time Energy Pricing & Optimization

tem; United States; Remote; USD 188,000 - 228,000; Full time

Benefits offered by this job

Stock Options

Remote & flexible working

25 days holiday + public holidays

Job summary

tem is building AI-native infrastructure to revolutionise energy markets with transparent and fair pricing. We’re scaling globally and seek a Senior Staff Machine Learning Engineer to own pricing ML within Rosso, tem’s core IP.

You’ll define strategy, choose methods, and ship production models while collaborating with MLOps and software engineers. You will drive a dynamic pricing engine, balancing margin, signing probability, and portfolio health, and you will communicate model reasoning across

Qualifications

• Deep experience building ML systems for pricing, revenue optimisation, or real‑time decision‑making.

Responsibilities

• Own the technical direction for pricing ML.
• Formulate and solve the pricing problem with a dynamic real‑time system.
• Build and ship models end‑to‑end in production‑grade Python.
• Solve imbalance problems with probabilistic models.
• Be the voice of pricing ML across the business.

Skills

Pricing ML

Real-time decisions

Stochastic optimisation

Probabilistic modelling

Production-grade Python

Technical leadership

Education

PhD in quantitative discipline

Tools

Gurobi

PyTorch

Python

TensorFlow

Job description

tem is building AI-native infrastructure to revolutionise energy markets with transparent and fair pricing. We’re scaling globally and seek a Senior Staff Machine Learning Engineer to own pricing ML within Rosso, tem’s core IP.

You’ll define strategy, choose methods, and ship production models while collaborating with MLOps and software engineers. You will drive a dynamic pricing engine, balancing margin, signing probability, and portfolio health, and you will communicate model reasoning across