Who We Are
At Soma Energy, we're transforming the power grid with cutting-edge AI, making energy systems smarter, cleaner, and more resilient. Our energy intelligence platform integrates renewables, batteries, and large-scale energy loads, unlocking unprecedented flexibility and sustainability.
Backed by leading Bay Area venture capital firms, Soma is an early-stage startup founded by energy domain experts with 20 years of experience in electricity markets and renewable energy procurement. Our founding team created the energy optimization program at AWS and includes leading PhDs in AI and optimization.
We're building a diverse, ambitious team driven by curiosity, creativity, and a passion for solving real-world climate and energy challenges with modern AI. If you're eager to make an impact where AI, climate, and energy intersect, we'd love to meet you.
About the Role
We're looking for an exceptional Machine Learning Engineer - someone who is more than just a great coder. They’re a strategic thinker who can balance AI experimentation with commercial impact. We work hard, move fast, and stay close to our customers, constantly refining our solutions based on feedback. You’ll work with a world-class team to develop and deploy cutting-edge machine learning models that advance energy intelligence.
Key Responsibilities
Develop and deploy advanced ML models to optimize energy use and storage.
Write high-performance code in C, C++, Python, Julia, or Rust.
Employ CUDA, PyTorch, Jax, and other tools for AI model development.
Iterate quickly on product features to meet customer demands.
Apply reinforcement learning and optimization to large-scale energy challenges.
Seek out customer feedback to refine models and drive innovation.
Collaborate with top engineers and AI/cloud experts.
Balance coding expertise with strategic AI experimentation.
What we look for
Bachelor’s degree in Computer Science, Electrical Engineering, or a related field; a Master’s or Ph.D. could be a plus.
5+ years of machine learning and software development experience (exceptional recent grads will also be considered).
Strong software skills, with expertise in CUDA, PyTorch, JAX, or other AI tools.
Self-driven, self-learner with a track record of implementing side machine learning projects.
Thrives in a startup environment, driven to frequently deliver customer value.
Proven ability to think expansively and work backwards from a commercial perspective: not just building models, but ensuring they drive real-world value.
We thrive on diverse perspectives, skills, and experiences to push the boundaries of AI-driven energy solutions. We hire based on talent and potential, ensuring equal opportunity regardless of background. If you need accommodation during the hiring process, let us know, we will work with you.
Compensation & Benefits
Competitive compensation between $148,000 and $234,000 + benefits.
Stock options with massive growth potential.
The chance to work with a team of world-class experts in AI, cloud computing, and energy optimization.
We are hiring ASAP. If you are eager to join us in revolutionizing the energy industry, apply now!