Senior ML Engineer, Energy

San Francisco Bay Area, CA

Do you want to work with high caliber professionals in a dynamic and growing company? Are you entrepreneurial, hard-working, and collegial? Join us at SB Energy, a leading company backed by SoftBank and Ares pairing cutting-edge innovation with best-in-class execution. Our Mission is to provide reliable, affordable energy at scale to support America’s growing energy demands.

Headquartered in Redwood City, CA, SB Energy develops, builds, owns & operates some of the largest and most technically advanced energy and data center infrastructure projects in the United States. Since launching in 2019, the company has rapidly grown into a top-tier integrated platform with over 3 gigawatts (GW) in operation and a multi-GW pipeline of energy and data center infrastructure nationwide. SB Energy also utilizes its strong culture of innovation to identify and incorporate new technology into our projects, including our AI-based digital platform, to deliver energy infrastructure that is local, reliable, and matched to load. We are building the energy and technology future—today.

Come join us in accelerating the energy transition to cleaner, more sustainable sources of power!

Title: Senior ML Engineer, Energy

Basic Function:

The Senior ML Engineer, Energy will be involved in various functions, including developing Optimization models for solar only, solar + storage, and 24/7 hourly-shaped matching use cases for SB Energy. The ML engineer will apply their skills and knowledge in data science, machine learning, statistics, programming, and software engineering to explore solutions for improving trading strategy performance, energy/LMP forecasting performance, benchmarking competition, and backtesting trading/hedging strategies. The successful candidate will be an integral part of a team responsible for optimizing the profitability of a growing portfolio of operating assets. This position will collaborate with Asset Management, Operations, Risk Management, Transmission Analytics, and Power Marketing, and communicate quantitative analysis in a concise manner.

Responsibilities:

  • Develop, maintain, and improve SB Energy’s Solar+ Storage trading tool using machine learning pipelines for CAISO and ERCOT markets.
  • Implement data science and ML engineering best practices in automated algorithmic trading, backtesting, and benchmarking use cases.
  • Collaborate with Portfolio management, power marketing, and Risk team to develop Solar + Storage trading strategies (for resource adequacy (RA), Merchant arbitrage strategy, and Ancillary services), and real-time backtesting between strategies for optimal revenue along with the understanding of the risk-reward of various strategies.
  • Collaborate with cross-functional teams to provide backend support for intelligent EMS (energy management system) optimization in SB Energy’s test facility center.
  • Working with the engineering and power marketing team to develop data center hourly shaped power modeling product using renewable energy resources.  
  • Develop AI agents to analyze trading strategy performance, backtest strategies, and adjust bids/offers based on trade results for solar+storage (DART, PTP, Ancillary Services), and 24/7 modeling strategies.

Qualifications/Requirements:-

  • Bachelor's Degree in a quantitative discipline (e.g., Electrical and Computer Engineering, Computer Science, Statistics, Math, Operations research or related field).
  • Proficient with Python. Strong working experience with Python data science and machine learning packages, such as NumPy, Pandas, Matplotlib, Plotly, Scipy, stats model, XGBoost, Scikit-Learn, Keras, TensorFlow, PyTorch, pyomo, OR-tools etc.  
  • The candidate is familiar with the technical aspects of solar + storage modeling for CAISO and ERCOT markets, power systems, including power flow modeling, basis, congestion, transmission network, and the impact of generation (solar, wind, gas, coal, etc.) and load on LMPs.
  • Experienced individual with expertise in optimization, multivariate time series forecasting, stochastic modeling and optimization, and Monte Carlo simulations.
  • The candidate needs to have experience in supporting energy trading, congestion management, and battery analytics.
  • 5-8 years of ML engineering experience with preferably 2-3 years in the energy Market.

 Location: Houston, TX, San Francisco Bay Area, CA, Denver, CO, or remote option available. The position may require up to 10% domestic travel.

Base Pay-130000-145000

The pay range mentioned above is a guideline. We tailor each offer based on your unique skills, experience, location, and market benchmarks—while ensuring internal parity across our team. In addition to competitive base pay, total compensation may include a discretionary annual bonus, a long-term incentive plan aligned with our ownership mindset, and a market leading comprehensive health and wellness benefits package. Final details will be discussed during the later stages of the hiring process. 

 Our Health & Wellness Benefits 

At SB Energy, we invest in our people and their families with benefits designed for flexibility, support, and peace of mind. Full-time employees enjoy: 

  • 100% Company-Paid Medical, Dental & Vision (for employees and dependents) 
  • 401(k) with Company Match 
  • Generous Paid Time Off + 11 Paid Holidays 
  • 12 Weeks Paid Parental Leave 
  • Life, AD&D & Long-Term Disability Coverage 
  • Flexible Spending Accounts (FSA) for Medical, Dependent Care, Transit & Parking (with company contributions) 
  • Mental, Physical & Social Wellness Support (with company contributions) 
  • Flexible Work Arrangements & Hybrid Office Setup Benefits 
  • Monthly Reimbursement for Phone, Internet & Data 
  • Optional Legal & Pet Insurance Plans 
  • Device Purchase Support 

At SB Energy, the success of our projects is driven by a desire to see our projects benefit as many people as possible. We work to serve local communities through volunteering, fundraising, and much more. For example, we’re proud to support access and opportunity in engineering and clean energy through impactful mentorship programs and workforce training. When you join SB Energy, you can become a part of these efforts, collaborating with team members who share a vision of building a better future now!  

 SB Energy is built on a foundation of collaboration and inclusion. We are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class. 

 To learn more about us, visit www.sbenergy.com. 

 

 

 

 

 

 

 

 

 

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