Machine Learning Engineer

Orenda • New York, NY

25d • $100,000 - $150,000 • Onsite

About The Position

Orenda is seeking a Machine Learning Engineer to join its Asset Technology team and advance forecasting capabilities and models across energy markets. The role develops timeseries machine learning models for energy storage, evaluates and improves forecasts, analyzes market data and model performance, and works with software engineers to productionize models and design APIs. The position also collaborates with the strategy team on market blueprints and their implementation, while developing knowledge of energy markets and batteries. This is a full-time, in-office position at Orenda’s Brooklyn, New York headquarters, five days per week.

Requirements

• Bachelor of Science degree and at least 3 years of relevant experience.
• Deep understanding of timeseries forecasting, machine learning algorithms, data processing, and model optimization techniques.
• At least 2 years of experience writing clean, maintainable Python code with machine learning frameworks such as PyTorch or TensorFlow.
• Proficiency with AI-driven development workflows and coding agents such as Claude Code or CodeX.
• Demonstrated experience crafting, performing, and analyzing experiments.
• Proficiency working in a cloud computing environment.
• Strong problem-solving ability and follow-through on difficult problems.
• A first-principles, mathematically minded approach to new problems.
• Keen attention to detail and ability to work independently without needing someone to inspect the work.
• Positive attitude, strong work ethic, and sense of humor.

Nice To Haves

• Experience in energy markets.
• Software engineering background, including cloud infrastructure, CI/CD, testing, or production-level code.

Responsibilities

• Devise, iterate on, and deliver timeseries machine learning algorithms and models for novel energy storage problems.
• Design and implement thorough evaluation frameworks for forecasts.
• Improve existing models by enhancing performance, fine-tuning parameters, and enriching features.
• Perform statistical analysis on market data and model performance.
• Communicate findings through empirical results, thorough documentation, and stakeholder reports.
• Work closely with software engineers to productionize models and design APIs.
• Collaborate with the strategy team on market blueprints and their implementation.
• Learn about energy markets and batteries.

Benefits

• Competitive compensation package.
• Significant annual performance-based bonus.
• Health insurance.
• Dental insurance.
• Vision insurance.
• 401(k) plan with a 3% employer match.
• LifeTime Fitness corporate membership.
• Monthly commuter stipend.
• Learning and education stipend.
• Flexible paid time off policy.
• Regular company events.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level