Lead AI Engineer

Powerline; Palo Alto (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A dynamic climate-tech company in Palo Alto seeks an experienced AI/ML Engineer to enhance renewable energy asset performance through scalable AI solutions. This role involves collaborating with a skilled engineering team to develop innovative AI algorithms across various domains. Candidates should have significant experience in building AI/ML models and technical leadership, proficient in Python and related tools. This is a unique chance to impact a rapidly growing sector focused on decarbonizing the electricity grid.

Qualifications

• 5+ years of experience in building AI/ML models with a proven track record.
• 2+ years of technical leadership experience in AI/ML.
• Familiarity with MLOps and building AI/ML systems end to end.

Responsibilities

• Research, design, and develop AI/ML algorithms for diverse problems.
• Develop scalable AI solutions and ensure seamless integration.
• Lead efforts in improving model performance and address performance issues.

Skills

Building AI/ML models

Technical leadership in AI/ML

Proficiency in Python

AI/ML packages (Pytorch, Jax, TensorFlow)

Analysis and prediction of sequential data

Strong communication skills

Job description

Join Powerline and Shape the Future of the Electricity Grid!

Powerline is a fast-growing, VC-backed climate-tech company based in Silicon Valley, dedicated to transforming the electricity grid with cutting-edge AI and machine learning. Our technology optimizes renewable energy and battery storage projects, enabling project owners to maximize profitability and operational efficiency while driving grid decarbonization.

We collaborate with industry leaders in the world’s most complex and lucrative electricity markets, solving high-impact challenges that accelerate the clean energy transition.

About The Role

As an AI/ML Engineer at Powerline, you will be instrumental in developing, optimizing, and scaling AI solutions that enhance renewable energy asset performance. You will collaborate closely with a highly skilled engineering team to design and implement AI algorithms across diverse domains, from forecasting to generative AI, deploying them in real‑world, high‑value energy projects.

This is a rare opportunity to join early and make a foundational impact at a rapidly scaling climate‑tech company solving critical challenges in a booming industry.

Key Responsibilities

• Research, design, develop, and analyze AI/ML algorithms for a variety of diverse problems related to the company’s business.
• Develop scalable AI solutions, collaborate with cross‑functional teams to ensure seamless integration of the AI solutions with the rest of the tech stack.
• Lead efforts in improving model performance, continuous analysis and understanding of the results, and addressing performance issues.
• Stay informed on the latest trends in AI, renewable energy, and energy markets to implement innovative solutions.

Requirements

• 5+ years of experience in building AI/ML models with a proven track record of delivering business value.
• 2+ years of technical leadership experience in AI/ML.
• Proficiency in Python, and AI/ML packages (e.g., Pytorch, Jax, TensorFlow).
• Experienced in AI/ML algorithms for sequential data (timeseries and/or text) modeling, analysis, and prediction.
• Familiarity with MLOps and building AI/ML systems end to end.
• Strong communication skills and ability to collaborate with diverse teams, including software engineers, optimization engineers, and energy market experts in a distributed working environment.

Strong Plus

• Experience in energy markets, renewable energy technologies, or energy storage systems.
• Experience with NLP, LLMs, and agentic systems.
• Experience with physically informed neural networks, physical loss functions, or digital twin.
• Experience with timeseries forecasting, especially in energy markets.
• Experience working in the startup environment.