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Machine Learning Energy Trading Jobs (NOW HIRING)

Bracebridge Capital

Machine Learning Analyst

Boston, MA

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Since the team works closely with trading floor personnel to assist with portfolio management ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

... modern energy, AI, and defense technologies. We're reimagining the minerals supply chain by ... As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ...

Gotion, Inc.

Machine Learning Engineer

Fremont, CA · On-site

We innovate in the next generation electric vehicle and energy storage technologies (lithium ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Gotion, Inc.

Machine Learning Engineer

Manteno, IL · On-site

We innovate in the next generation electric vehicle and energy storage technologies (lithium ... Role Summary We are seeking a highly motivated Machine Learning Engineer with a strong background ...

Apple

Machine Learning FEA Engineer

San Francisco, CA · On-site

The machine learning models will drive rapid design iterations by assessing potential risks and optimizing design trade-offs. You will be fully integrated with the product design team from the ...

Bracebridge Capital

Machine Learning Analyst

Boston, MA · On-site

$110K - $145K/yr

We are seeking a Machine Learning Analyst to join the growing data analytics and machine learning ... Since the team works closely with trading floor personnel to assist with portfolio management ...

Alsym Energy

Machine Learning Engineer (Malden)

Malden, MA · On-site

$130K - $215K/yr

This range is provided by Alsym Energy. Your actual pay will be based on your skills and experience ... Master's or PhD in Computer Science, Machine Learning, AI, Engineering, or a related scientific ...

LLNL

Machine Learning (ML) Bioengineer

Livermore, CA · On-site

... energy security, and multi-domain defense empowering teams to take on the toughest challenges of ... We have an opening for a Machine Learning (ML) Bioengineer to conduct research training and ...

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All JobsMachine Learning Energy Trading Jobs

Machine Learning Energy Trading information

What is the difference between Machine Learning Energy Trading vs Data Scientist in Energy?

AspectMachine Learning Energy TradingData Scientist in Energy
Required CredentialsDegree in Data Science, Computer Science, or related field; knowledge of energy marketsDegree in Data Science, Computer Science, or related field; strong statistical skills
Work EnvironmentEnergy trading firms, financial institutions, energy companiesEnergy companies, consulting firms, research institutions
Industry UsageFocus on developing models for trading strategies and risk managementAnalyzing energy data, forecasting, and supporting decision-making

While both roles require strong data analysis skills and familiarity with energy markets, Machine Learning Energy Trading specialists focus on creating algorithms for trading and risk management, whereas Data Scientists in Energy analyze data to inform broader business decisions. The roles often overlap but differ in primary objectives and application areas.

Infographic showing various Machine Learning Energy Trading job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution.

Machine Learning Researcher

Susquehanna International Group, LLP

Philadelphia, PA • On-site

Full-time

Re-posted 10 days ago

Job description

Overview
Susquehanna is expanding the Machine Learning group and seeking exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural language understanding, and more. Your work will directly influence our trading strategies and decision-making processes. This is a unique opportunity to work at the intersection of cutting-edge research and real-world impact, leveraging one of the highest-quality financial datasets in the industry.
We're looking for research scientists with a proven track record of applying deep learning to solve complex, high-impact problems. The ideal candidate will have a strong grasp of diverse machine learning techniques and a passion for experimenting with model architectures, feature engineering, and hyperparameter tuning to produce resilient and high-performing models.
What you'll do
  • Conduct research and develop ML models to enhance trading strategies, with a focus on deep learning and scalable deployment
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • Develop automation tools to streamline research and system development
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Partner with engineering teams to implement and test models in production environments

What we're looking for
  • PhD in computer science, machine learning, mathematics, physics, statistics, or a related field
  • Strong track record of applying ML in academic or industry settings, with 5+ years of experience building impactful deep learning systems
  • A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
  • Strong programming skills in Python and/or C++
  • Practical knowledge of ML libraries and frameworks, such as PyTorch or TensorFlow, especially in production environments
  • Hands-on experience applying deep learning on time series data
  • Strong foundation in mathematics, statistics, and algorithm design
  • Excellent problem-solving skills with a creative, research-driven mindset
  • Demonstrated ability to work collaboratively in team-oriented environments
  • A passion for solving complex problems and a drive to innovate in a fast-paced, competitive environment

About Susquehanna
Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting-edge technology, we excel in solving complex problems and pushing boundaries together.
If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.
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