Machine Learning Scientist

Job Summary

To support innovative clean energy solutions, the full-time remote Machine Learning Scientist will develop and deploy machine learning models to enhance decision-making, improve product offerings, and optimize organizational efficiency through applied research and intelligent automation.

Key Responsibilities

• Translate user needs into machine learning problems and develop models for classification, forecasting, and risk assessment
• Build representative datasets and evaluation benchmarks while ensuring research reproducibility and quantifying uncertainty
• Collaborate with engineering teams to integrate validated prototypes into reliable products and define data and API contracts

Required Qualifications

• PhD in machine learning, computer science, statistics, or a related field, with 3-5 years of applied ML experience
• Proven ability to turn ambiguous problems into rigorous experiments and useful AI/ML capabilities
• Hands-on experience with NLP and LLM applications, as well as strong Python skills and familiarity with ML tools like PyTorch and TensorFlow
• Sound statistical judgment and ability to work with heterogeneous or noisy data
• Ability to communicate technical findings to both technical and non-technical colleagues