Machine Learning Engineer, Microgrid Systems

Lancium builds gigawatt-scale campuses for AI data centers. We develop and orchestrate all power infrastructure at the campuses, including the grid interconnect, behind the meter solar, and large-scale energy storage systems. We currently have 5+ Gigawatts of capacity in various stages of development, and our projects under construction today are some of the largest in the world. We are backed by leading strategic and financial investors, including Blackstone, Shell, and Arclight, and have spent 6 years developing the infrastructure platform and are now rapidly accelerating the commercialization of our solutions into the market. Artificial intelligence and the massive amount of energy it demands, the balance of that demand with supply - ideally clean resources - is collectively the mega-trend of our lifetimes. Lancium is at the epicenter of this trend, uniquely positioned to catalyze and empower the massive growth and opportunity at hand. If you want to be at the heart of this global transformation and growth, read on!What You Will DoWe are seeking a highly skilled and motivated individual to join our team as a Machine Learning Engineer. Lancium builds gigawatt scale campuses for datacenter customers, co-located with battery energy storage and solar generation. In this role, you will be responsible for developing forecasting models and optimization routines to maximize the value delivered to our customers by efficiently orchestrating these resources.Create forecast models for energy prices, datacenter load, and solar generation.Discover and incorporate new data sources to improve model accuracy.Develop algorithms for the optimal dispatch of battery energy storage systems.Keep abreast of the latest advancements in machine learning (ML) research to identify innovative solutions for energy-related challenges.Write, optimize, and review code with an emphasis on performance and readability.Work collaboratively across the organization to maximize the value of forecasts and optimization efforts.What We Want From YouDegree in Mathematics, Machine Learning, Statistics, or equivalent experience.Ability to write production quality code in Python and familiarity with ML frameworks like TensorFlow or PyTorch.Experience with a variety of forecasting algorithms and approaches from regression through to deep learning.Demonstrate exceptional analytical and problem-solving abilities.Exhibit strong mentorship, communication, and teamwork capabilities.Show enthusiasm for continuous learning and a keen interest in the energy sector.Ability to work independently and manage multiple projects simultaneously.Preferred QualificationsDomain expertise in forecasting and analysis of electricity markets such as ERCOT.PhD in Mathematics, Machine Learning, Statistics, or a related quantitative field.What We Will ProvideOur benefits and perks add to a total rewards experience for our employees that foster a supportive, flexible, and inclusive environment. Current full-time employee benefit offerings include:Employer-subsidized health, dental, and vision benefits$50,000 of basic term life insurance coverage paid for by Lancium, as well as 100% of short-term disability premiums. Additionally, we provide options for additional life insurance coverage for employees, their spouses, and children. Employees also have the option to enroll in long-term disability coverage (LTD) at their own expense.Medical and Dependent Care Flexible Spending Accounts, Limited Purpose Flexible Spending Accounts, and Health Savings Accounts (with employer contribution; $400 employee only coverage, $700 for all other tiers of enrollment in our HDHP).Flexible (Unlimited) Time OffPaid parental leave11 paid holidaysFidelity safe-harbor 401(k) with 100% match up to 4%

Created: 2025-02-19