Senior ML Engineer

4Curiosity; United States; Hybrid; USD 159,000 - 195,000; Full time

Benefits offered by this job

Comprehensive medical, dental, vision

16 weeks parental and family leave

Remote-friendly work culture

Home office stipend

Company-wide retreats

Job summary

Relae is seeking an AI/ML Engineer for the Power, Data and Innovation team. You will design, build, train, and maintain machine learning models for production and work with clients to provide insights on power hedging and energy procurement.

The role involves collaborating with software engineers, data scientists, energy economists, and power systems engineers to deploy models that support clients navigating AI-driven data center power challenges.

Qualifications

• Experience building and deploying ML models in production in power trading, energy procurement, commodity risk management, utility strategy, energy markets, or related roles.
• Master’s or a Ph.D. degree in applied statistics, applied economics, computer science, or a related field.
• 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.
• Strong Python skills, with hands-on experience in ML frameworks and time-series forecasting techniques applied to the power industry, along with a solid understanding of current ML approaches — including LLMs, predictive analytics, and agent-based modeling — as well as time-series-specific challenges such as non-stationarity, seasonality, avoiding data leakage, and appropriate cross-validation techniques.
• Ability to translate model outputs and technical tradeoffs into clear communication for non-technical audiences, including Relea’s existing and prospective clients
• Experience working in a fast-moving, ambiguous environment where the product surface may evolve based on client needs

Responsibilities

• Leverage power systems data to identify, gather, and validate datasets for power-sector applications, including uncertainty assessment and data gaps; develop analytical approaches to mitigate them.
• Design, implement, and maintain end-to-end ML pipelines for energy market forecasting and grid analytics (data ingestion from ISO/utility feeds and weather sources, feature engineering, model training, evaluation, deployment, and monitoring).
• Productionize forecasting and optimization models such as nodal price, load, or renewable generation forecasts with robust testing and documentation; collaborate with cross-functional teams for safe releases.
• Collaborate with power systems engineers and energy market analysts to translate research insights into scalable forecasting and optimization systems.
• Contribute to design reviews, coding standards, and mentoring best practices with Tech & Software teams at Relae.

Skills

Python programming

Power ML in production

Real-time data monitoring

Clear communication

Ambiguity handling

Education

Master’s or PhD in statistics/economics/CS

Tools

Python ML libraries

Job 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.

The Role

Overview

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

• Leveraging a deep understanding of power systems data, identify, gather, and validate appropriate datasets for relevant power-sector applications, including assessment of uncertainties and data gaps, and develop analytical approaches to mitigate them.
• Design, implement, and maintain end-to-end ML pipelines for energy market forecasting and grid analytics (data ingestion from ISO/utility feeds and weather sources, feature engineering, model training, evaluation, deployment, and monitoring).
• Productionize forecasting and optimization models such as nodal price, load, or renewable generation forecasts with robust testing, observability, and documentation, in collaboration with cross-functional software and power advisory teams, and automated evaluations to ensure safe, frequent releases.
• Collaborate with power systems engineers and energy market analysts to translate research insights and domain expertise into performant, scalable forecasting and optimization systems.
• Contribute to technical design reviews, coding standards, and mentoring of best practices with the Tech & Software teams at Relea.

Required 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.
• 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.
• Strong Python skills, with hands-on experience in ML frameworks and time-series forecasting techniques applied to the power industry, along with a solid understanding of current ML approaches — including LLMs, predictive analytics, and agent-based modeling — as well as time-series-specific challenges such as non-stationarity, seasonality, avoiding data leakage, and appropriate cross-validation techniques.
• Ability to translate model outputs and technical tradeoffs into clear communication for non-technical audiences, including Relea’s existing and prospective clients
• Experience working in a fast-moving, ambiguous environment where the product surface may evolve based on client needs

Preferred Qualifications

• Power and energy advisory/consulting experience or experience in power product design
• Familiarity with weather-driven forecasting platforms or techniques (e.g., NWP data, ensemble weather models) and experience with grid optimization problems (e.g., storage dispatch, unit commitment, OPF)

Salary Range

$159,000-$195,000 a year

While we love our work, our lives aren’t defined by it. At Relae (formerly Carbon Direct), we offer a robust benefits package that considers the whole person, their partners, and their families – and we’re always looking to improve.

• Comprehensive nationwide medical, dental, and vision coverage. See a preview of our coverage here .
• 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

*These benefits apply to U.S.-based employees only. Employees outside of the U.S. receive benefits that vary by country. To learn more, contact [e-mail]

Equal Opportunity Employer

Diverse perspectives and experience enhance the way Relae selects and approaches the climate crisis, as well as the creativity and applicability of Relae's advisory and investment work.

Relae is an equal opportunity employer and does not discriminate on the basis of race, color, gender, religion, age, sexual orientation, national or ethnic origin, disability, marital status, veteran status, or any other occupationally irrelevant criteria. We adhere rigorously to our equal employment opportunity policies in connection with all employment decisions, including hiring, compensation, and promotion.