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MC
Cloud Engineer III
McDonald's Corporation
Chicago, IL
- $141,662 to $177,077 USD / year
…User Computing, and IT Service Management. The Cloud Security Engineer III role is part of the Cloud Ecosystem team and reports to the Senior Manager of Cloud Security Platform…
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ESS, Principal Software & Data Engineer
SK Battery America
Troy, MI
The Principal Software & Data Engineer will be a foundational member of the Energy Management Systems (EMS) engineering organization, responsible for designing and building the software and…
Added 1 min ago
RF
Senior Security Engineer
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Remote, United States
- $160,000 to $185,000 USD / year
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Senior Principal Systems Development Engineer
Round Rock, TX · TX
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Added 2 mins ago
Staff Software Development Engineer, Marine & RV/Camping
Storable
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Added 3 mins ago
Software Engineer II (.Net Developer)
Paychex
Chicago, IL · Irving, TX · Tempe, AZ · Cincinnati, OH · Salt Lake City, UT · Rochester, NY · Saint Petersburg, FL
As a Software Engineer II you are critical to the team's success and delivery of MVI's. Your primary role includes system analysis, coding, testing, debugging, documenting, and installing…
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Systems Engineer I
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Webster, NY · Allentown, PA · High Point, NC · West Palm Beach, FL · Cincinnati, OH · Saint Petersburg, FL · Tempe, AZ · Phoenix, AZ
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Senior Backend Engineer - Cloud Platform
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Senior Software Engineering Manager, Machine Learning, Maps
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Principal Artificial Intelligence Engineer
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Forward Deployed Engineer
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Prior forward-deployed engineering, product management, or early-engineer experience.
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Candidates will work under the mentorship of a senior engineer in one of the following disciplines;
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The AI Engineer will support the design, building, and maintaining of AI-powered solutions across the organization, including AI agents for our analytics and customer success teams. You’ll…
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Identity & Access Management (IAM) Engineer
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Forward Deployed Engineer (FDE), Life Sciences - SF
OpenAI
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- $185,000 to $300,000 USD / year
We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and…
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Forward Deployed Engineer (FDE), Life Sciences - NYC
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Principal Engineer, Salesforce
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AbbVie US Commercial Business Technology Solutions (BTS) is seeking a Principal Engineer, Salesforce to join the Patient Services & Consumer Marketing Technology Services and Architecture…

Relae

Senior ML Engineer

Remote, United States

$159,000-$195,000 a year

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Job details

Pay: $159,000-$195,000 a year
Posting language: English
Posted: Nov 6, 2026

Original 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

Benefits:

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.

Our U.S. benefits* include:

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 people@relae.co

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.

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More about this job

Skills

ML
Procurement
Energy market
Forecasting
Documentation
Research
Coaching
Machine learning
Risk management
Statistics
Computer science
Python
Communication skills

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