Power Factors
Climate Tech
SeniorMachineLearningEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Machine Learning Engineer at Power Factors. Skills: Machine Learning, LLMs, MLOps. Iterate architecture based on shadow validation. Collaborate with HuggingFace ecosystem”
Industry & Context.
Root cause analysis
What They're Looking For.
Must Have
High-ownership team member, LLM fine-tuning, Data preparation, Architecture-to-business-value alignment, Curriculum strategies, Tokenization strategies, Scaling models from PoC to production
Nice to Have
Familiarity with published time-series foundation model approaches, Experience with uncertainty quantification in forecasting, Background in scaling-law estimation, Exposure to multi-modal training corpora, Renewable energy, SCADA, or industrial IoT data experience, Experience evaluating and selecting attention variants, Published research, open-source contributions, or patents in time-series modelling or foundation models, Knowledge of curriculum learning and masking strategies
What You'll Do.
Iterate architecture based on shadow validation
Collaborate with HuggingFace ecosystem
Design model registry
Implement reproducible pipelines
Align architecture to business value
Develop curriculum strategies
Develop tokenization strategies
Scale models from PoC to production
How You'll Work.
Team & Collaboration
Innovation team; Small, high-ownership team
Communication Scope
Written English; Verbal English
Full Job Description
About Power Factors Power Factors is accelerating the green energy transition by providing advanced analytics and AI insights to operators of renewable energy assets. Our SaaS platforms are used to manage over 250 GW of wind, solar, hydro, and energy storage projects globally. By driving down operational costs and increasing revenue, we are tackling one of the world's most important challenges: making renewable energy the world's leading source of power. Our vision is to create a sustainable world powered by renewable energy. Our mission is to fight climate change with code. We are looking for a Senior Machine Learning Engineer to join the Innovation team and work on our most ambitious technical initiatives to date. You will be a core member of a small, high-ownership team building and fine-tuning LLMs utilizing the unique dataset that Power Factors has access to. You will work across data preparation, architecture-to-business-value alignment, curriculum strategies, tokenization strategies, and scaling models from PoC to production grade. The Role — What You'll Do Architecture iterate based on shadow validation. Collaboration proficiency with the HuggingFace ecosystem. MLOps fluency: experiment tracking, model registry design, reproducible pipelines, and automated retraining. Excellent written and verbal English communication skills. Beneficial Qualifications Familiarity with published time-series foundation model approaches (Chronos, Moirai, TimesFM, or similar) — a significant advantage. Experience with uncertainty quantification in forecasting: Gaussian, mixture, or quantile output heads. Background in scaling-law estimation for model capacity planning. Exposure to multi-modal training corpora combining continuous signals, discrete operational events, and structured metadata. Renewable energy, SCADA, or industrial IoT data experience — including an understanding of signal quality issues (sparsity, flatlines, sensor drift) in real-world deployments. Experience eva
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