Machine Learning Scientist

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 Virtual Vocations Inc