Senior Staff Machine Learning Engineer (Fully Remote)

Tem; United States; Remote; USD 150,000 - 230,000; Full time

Benefits offered by this job

Birthday day off

Wellbeing budget

Remote-friendly

Job summary

Tem builds AI-native infrastructure to make electricity buying, selling, and pricing transparent and fair. The company raised a $75M Series B in late 2025 and is scaling internationally with a fully remote team.

As the lead pricing ML within Rosso, you will own the technical direction and roadmap, building and productionizing models that balance growth, margin, and portfolio risk while operating in a fully remote setup with wellbeing budgets and generous holidays.

Qualifications

• Deep experience building ML systems for pricing or decision-making under uncertainty.
• Strong foundation in stochastic optimization, probabilistic modelling, and production Python.

Responsibilities

• Lead pricing ML within Rosso, owning the technical direction and roadmap.
• Build and productionize models that balance growth, margin, and portfolio risk.

Skills

Pricing ML

Stochastic optimization

Probabilistic modeling

Production Python

Job description

• We are rebuilding energy transactions with AI-native infrastructure to make electricity pricing transparent and fair.
• After a $75M Series B, we're scaling globally with a fully remote team.

The Role:

• You will lead pricing ML within Rosso, owning the technical direction and roadmap.
• You will build and productionize models that balance growth, margin, and portfolio risk.

Requirements:

• Deep experience building ML systems for pricing or decision-making under uncertainty.
• Strong foundation in stochastic optimization, probabilistic modelling, and production Python.
• Fully remote with home working and wellbeing budgets.
• 25 days holiday plus public holidays, with a birthday day off.

Tem

Tem builds AI-native infrastructure to make electricity buying, selling, and pricing transparent and fair. The company raised a $75M Series B in late 2025 and is scaling internationally with a fully remote team.