ML Engineering Manager — Energy Pricing & Platform Lead

Comity; Chicago (IL); On-site; USD 130,000 - 160,000; Full time

Job summary

Comity is seeking a Machine Learning Engineering Manager to lead a team developing our energy pricing models. This role involves close collaboration with Quantitative Researchers to design and deploy models for power markets, ensuring scalability and impact.

You will have ownership over platform design and research agenda while mentoring ML engineers. A strong foundation in machine learning and experience in financial settings are crucial.

The ideal candidate has 8-12 years of relevant experience and is passionate about team development.

Qualifications

• 8-12 years of experience developing machine learning models in an industry and/or academic setting.
• Experience leading and mentoring ML engineers, software engineers, and/or data scientists.
• Solid grasp of machine learning fundamentals.

Responsibilities

• Lead a team developing energy pricing models and their deployment.
• Work with Quantitative Researchers on models and optimization algorithms.
• Develop data infrastructure and research platforms.

Skills

Machine learning models development

Leading ML engineers

Probabilistic forecasting

Data mining algorithms

Communication skills

Tools

Python

SQL

PyTorch

CatBoost

Job description

Comity is seeking a Machine Learning Engineering Manager to lead a team developing our energy pricing models. This role involves close collaboration with Quantitative Researchers to design and deploy models for power markets, ensuring scalability and impact.

You will have ownership over platform design and research agenda while mentoring ML engineers. A strong foundation in machine learning and experience in financial settings are crucial.

The ideal candidate has 8-12 years of relevant experience and is passionate about team development.