Senior Staff ML Platform Engineer — Remote & Stock Options

tem; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Stock options

Remote first

Flexible working hours

Wellbeing budget

Home office budgets

Job summary

tem is a technology company rebuilding energy markets with a remote-first, globally distributed team of 160+ engineers, data scientists and energy experts. We are hiring a Senior Staff Machine Learning Engineer (ML Platform) to own the platform that lets us deploy, evaluate and scale ML and optimisation models in production with confidence.

You will design scalable ML tooling, observability, backtesting, and model inference pipelines; own production deployments and on-call responsibilities;

Qualifications

• Must haves strong ML engineering foundations with production experience.
• Experience contributing to/building an MLOps stack with reliability and observability.
• Experience handling large-data ML workloads and designing data systems.
• Experience with time-series forecasting in particular.
• Knowledge of probabilistic forecasting, calibration or Bayesian methods.
• Experience with backtesting frameworks or evaluation tooling for trading/optimisation.
• Experience in finance or energy, including automated trading systems.

Responsibilities

• Build ML platform tooling to deploy, iterate, and scale ML and optimisation models.
• Provide operational visibility into model performance and identify gaps.
• Develop evaluation and backtesting tooling for ML models, pricing and trading strategies.
• Own model inference and training in production with on-call responsibilities.
• Shape infrastructure for ML deployment across pricing, forecasting and optimisation.
• Create observability and data validation to catch failures and drift.

Skills

ML engineering

MLOps

Time-series forecasting

Probabilistic modelling

Backtesting

Data pipelines

Production deployment

On-call

Job description

tem is a technology company rebuilding energy markets with a remote-first, globally distributed team of 160+ engineers, data scientists and energy experts. We are hiring a Senior Staff Machine Learning Engineer (ML Platform) to own the platform that lets us deploy, evaluate and scale ML and optimisation models in production with confidence.

You will design scalable ML tooling, observability, backtesting, and model inference pipelines; own production deployments and on-call responsibilities;