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Machine Learning Engineer

LanciumNewport Beach, CA, United States

7 days ago

Job type

Full-time

Job description

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Overview

Lancium builds gigawatt‑scale campuses for AI data centers. We develop and orchestrate all power infrastructure at the campuses, including the grid interconnect, behind‑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. Lancium is backed by leading strategic and financial investors, including Blackstone, Shell, and Arclight. We 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, together with the balance of that demand with supply – ideally clean resources – represent the mega‑trend of our lifetimes. Lancium sits at the epicenter of this trend, uniquely positioned to catalyze and empower the massive growth and opportunity at hand.

Requirements

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.

Qualifications

Degree 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 Qualifications

Domain expertise in forecasting and analysis of electricity markets such as ERCOT.

PhD in Mathematics, Machine Learning, Statistics, or a related quantitative field.

Benefits

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 Off

Paid parental leave

11 paid holidays

Fidelity safe‑harbor 401(k) with 100% match up to 4%

Lancium participates in E‑Verify to confirm employment eligibility. All newly hired employees will be verified through the E‑Verify system as required by law.

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Machine Learning Engineer • Newport Beach, CA, United States