Remote ML Scientist for Energy & Decarbonization

GoodPower; United States; Remote; USD 160,000 - 190,000; Full time

Benefits offered by this job

Salary range: $160k–$190k

Health insurance

Paid time off

401(k) with match

Education reimbursement

Sabbatical after 5 years

Job summary

GoodPower seeks a Machine Learning Scientist to advance ML capabilities across decarbonization initiatives, including problem definition, experimentation, validation, and deployment with engineering partners.

You will lead applied research in ML-based decisions, ensure rigorous evaluation, and contribute to LLM-driven retrieval and agentic systems. The role reports to the Chief Innovation Officer.

Qualifications

• PhD in machine learning, computer science, statistics, or a related quantitative field with 3-5 years of applied ML experience.
• Evidence of turning ambiguous problems into rigorous experiments and useful AI/ML capabilities with baselines and validation.
• Hands-on experience with NLP and LLM applications, including embeddings and retrieval-augmented generation.
• Strong Python skills and experience with PyTorch/TensorFlow, scikit-learn, and pandas; SQL & version control; reproducible research.
• Sound statistical judgment; ability to handle heterogeneous or noisy data.

Responsibilities

• Translate user needs into tractable ML problems and prioritize experiments by impact.
• Develop models for classification, entity resolution, anomaly detection, forecasting, ranking, and risk.
• Explore methods from classical ML to deep learning and LLMs; assess value of added complexity.
• Use predictive modeling and scenario analysis to inform resource allocation.
• Ensure reproducibility with versioned data, code, and experiments.
• Evaluate retrieval/synthesis systems for verifiable answers and actionable intelligence.
• Define and monitor evaluation, uncertainty, and model health across contexts.

Skills

PhD level expertise

Applied ML problem solving

NLP/LLM experience

Python (PyTorch, TensorFlow)

SQL & version control

Reproducible research practices

Education

PhD in ML / CS / Stats

Tools

PyTorch

TensorFlow

scikit-learn

Pandas

SQL

Git

Job description

GoodPower seeks a Machine Learning Scientist to advance ML capabilities across decarbonization initiatives, including problem definition, experimentation, validation, and deployment with engineering partners.

You will lead applied research in ML-based decisions, ensure rigorous evaluation, and contribute to LLM-driven retrieval and agentic systems. The role reports to the Chief Innovation Officer.