[Hiring] Senior ML Engineer @Relae

Role Description

Relae is seeking an AI/ML Engineer for our Power, Data and Innovation team. This role will be responsible for designing, building, training, and maintaining machine learning models for production. You will be directly working with Relae’s existing and prospective clients to provide insights and analysis on power hedging and procurement of electricity, gas, and other energy commodities to help analyze operational and market risks and flexible load opportunities, including assessments of associated emissions impacts.

This is an individual contributor role, and this role will work closely with software engineers, data scientists, energy economists, and power systems engineers to build models that support hyperscaler, utility, and corporate energy buyer clients navigating the AI-driven data center power boom.

Responsibilities

• Leverage a deep understanding of power systems data to identify, gather, and validate appropriate datasets for relevant power-sector applications.
• Develop analytical approaches to mitigate uncertainties and data gaps.
• Design, implement, and maintain end-to-end ML pipelines for energy market forecasting and grid analytics.
• Productionize forecasting and optimization models such as nodal price, load, or renewable generation forecasts.
• Collaborate with power systems engineers and energy market analysts to translate research insights into performant, scalable systems.
• Contribute to technical design reviews, coding standards, and mentoring of best practices with the Tech & Software teams at Relae.

Qualifications

• Experience building and deploying machine learning models in a production environment in power trading, energy procurement, commodity risk management, utility strategy, energy markets, or related roles.
• A master’s or a Ph.D. degree in applied statistics, applied economics, computer science, or a related field.
• Strong Python skills, with hands-on experience in ML frameworks and time-series forecasting techniques applied to the power industry.
• Ability to translate model outputs and technical tradeoffs into clear communication for non-technical audiences.
• Experience working in a fast-moving, ambiguous environment where the product surface may evolve based on client needs.

Requirements

• Monitor real-time data for wholesale power markets, gas markets, congestion, basis, capacity, ancillary services, tariff developments, and regulatory changes that could affect portfolio cost or reliability.
• Solid understanding of current ML approaches, including LLMs, predictive analytics, and agent-based modeling.
• Knowledge of time-series-specific challenges such as non-stationarity, seasonality, avoiding data leakage, and appropriate cross-validation techniques.

Preferred Qualifications

• Power and energy advisory/consulting experience or experience in power product design.
• Familiarity with weather-driven forecasting platforms or techniques and experience with grid optimization problems.

Benefits

• Comprehensive nationwide medical, dental, and vision coverage.
• Time off as needed: Flexible vacation policy and ten company-wide holidays, plus annual winter break between Christmas and New Year's.
• 16 weeks of fully paid parental and family leave with no tenure requirement.
• Remote-friendly work culture with annual company-wide retreats.
• Reimbursement for your work-from-home setup.

Company Description

Relae (formerly Carbon Direct) helps organizations like Microsoft, Mitsubishi, and JPMorgan Chase make defensible, high-stakes decisions across energy strategy, decarbonization, environmental markets, and natural capital. Our teams combine scientific rigor with commercial and policy fluency to answer questions that matter, and we invest just as seriously in the people answering them, with a clear path for career growth, structured manager development, and real ownership of hard problems from day one.