Machine Learning Engineer

Comity; United States; Remote; USD 125,000 - 150,000; Full time

Job summary

An innovative firm is seeking a Machine Learning Engineer to revolutionize energy pricing models and optimize power contracts. In this role, you will collaborate with Quantitative Researchers to design and implement cutting-edge models that participate in wholesale power markets. Your contributions will directly influence the design of data infrastructure and research platforms, ensuring that insights translate into impactful real-world applications. Join a passionate team dedicated to fostering sustainable energy solutions, where your expertise and creativity will help shape the future of energy systems. This is an exciting opportunity for those eager to make a significant impact in a forward-thinking environment.

Qualifications

• 1-3 years of experience in production machine learning systems.
• Solid grasp of machine learning fundamentals and model development.

Responsibilities

• Develop energy pricing models and deploy in power contract strategies.
• Collaborate with researchers to design and scale models for markets.

Skills

Machine Learning

Predictive Modeling

Data Mining

Empathy in Teaching

Education

BSc in Computer Science

BSc in Computer Engineering

BSc in Electrical Engineering

BSc in Mathematics

MS or PhD

Tools

Python

SQL

PyTorch

CatBoost

Job description

Why we exist

We’re on a mission to improve the reliability, transparency, and efficiency of our energy systems, fostering a future with sustainable and abundant energy. To accomplish our aims, we’re using machine learning and convex optimization methods to build the financial rails of our future energy systems that will accelerate the deployment of clean energy resources.

We envision energy systems that are efficient, autonomous, resilient, and powered by 100% renewable energy.

Who we are

Our founders (ex-Apple, Bluevine; ex-Affirm, Square, Google) are Stanford alumni with experience with complex systems, machine learning, and structured finance. Our world-class investors, Maverick Ventures and Caffeinated Capital, are aligned to our policy objectives and platform vision.

The Role

Comity is looking for a Machine Learning Engineer to help develop our energy pricing models and facilitate their deployment in market-leading power contract origination strategies.

You’ll work closely with our Quantitative Researchers to design and deploy models and optimization algorithms for participating in wholesale power markets, and ensure that they can scale to new markets and greater volume. You will help develop our data infrastructure and research platform, which give our researchers streamlined access to relevant data sources and powerful computing resources, as well as the confidence that their research will translate into real-world results. As an early hire in this role, you will have broad impact and ownership over our platform and framework design, research agenda, technology choices, and team culture.

We’re excited about you because:

• You have 1-3 years experience developing production machine learning (or other predictive modeling) systems in an industry setting.

• You have a BSc in Computer Science, Computer Engineering, Electrical Engineering, Mathematics or a similar field. A MS or PhD is a plus.

• You have a solid grasp of machine learning fundamentals and can read research results to understand operational requirements and assumptions.

• You are experienced and comfortable with the workflow to research and develop machine learning models and data mining algorithms, working with distributed computing resources and structured, graph, spatial, and time series data.

• You are a lifelong learner and empathetic teacher. We’re committed to the growth and development of our teammates. We work towards a shared understanding by listening with intent and holding open discussions because we know that's how we'll deliver quality results.

• We believe strong foundations are more important than specific technical knowledge, but experience with any part of our data stack (Python, SQL, PyTorch, CatBoost) is a plus.

Location

We have hubs in Chicago, New York City, and San Francisco.

At Comity, we seek to recruit, develop, and retain the most talented people from a diverse candidate pool. Our priority is to ensure that all applicants are provided with fair and equal access to employment opportunities. Recruiting and hiring decisions are made without regard to race, color, religion, sex, national origin, age, disability, or any other class protected by law.