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Salary: USD 100,000 - 175,000 / annual
Orenda is building software and hardware platforms to operate energy storage projects in dense urban environments, bridging the gap between renewables and electricity consumption. The company uses machine learning to forecast electricity markets and decision algorithms to allocate energy optimally, with a cloud platform that connects to on-site energy control systems.
As a Machine Learning Engineer on the Asset Technology team, you will advance forecasting capabilities and expand models across energy markets. You'll take ownership of your work in a fast-paced, rapidly growing industry.
Key responsibilities:
- Devise, iterate on, and deliver timeseries ML algorithms and models to solve novel problems in energy storage
- Design and implement thorough evaluation frameworks for forecasts
- Improve performance of existing models, fine-tune parameters, and enrich features
- Perform statistical analysis on market data and model performance
- Communicate findings via empirical results, thorough documentation, and stakeholder reports
- Work closely with software engineers to productionize models and design APIs
- Ideate with the strategy team on market blueprints and implementation
- Learn about energy markets and battery technology
This is a full-time, in-office position based in Brooklyn, NY, requiring five days per week on-site.
Qualifications:
- B.S. degree and 3+ years of relevant experience
- Deep understanding of timeseries forecasting, machine learning algorithms, data processing, and model optimization techniques
- 2+ years writing clean, maintainable Python code with ML frameworks (PyTorch, TensorFlow)
- Proficiency with AI-driven development workflows and coding agents (Claude Code, ChatGPT Codex, etc.)
- Demonstrated experience crafting, performing, and analyzing experiments
- Proficiency working in cloud computing environments
- First-principles, mathematically-minded approach to problem-solving
- Keen attention to detail and ability to work independently
- Relentlessly positive attitude, strong work ethic, and sense of humor
Preferred: Experience in energy markets; software engineering background (cloud infrastructure, CI/CD, testing, production-level code).
