Machine Learning Engineer (Staff / Sr Staff) San Francisco, Boston, London, or Remote

Equilibrium Energy, Inc.; Boston (MA); Remote; USD 90,000 - 150,000; Full time

Job summary

An innovative firm in the clean energy sector is seeking experienced ML engineers to join their Science Platform team. This role focuses on developing scalable machine learning pipelines and frameworks, collaborating with data scientists, and integrating advanced algorithms into customer applications. With a commitment to sustainability and cutting-edge technology, this position offers the opportunity to make a significant impact in the energy transition. Join a diverse and inclusive team that values collaboration, flexibility, and professional growth while shaping the future of energy markets.

Benefits

Competitive base salary

Comprehensive medical, dental, and vision package

401k package

Meaningful equity grant

Unlimited vacation

Flexible work schedule

Remote work from anywhere in the US, Canada & Europe

Professional growth and development opportunities

Qualifications

• Experience with machine learning algorithms and libraries.
• Strong understanding of data pipelines and infrastructure.

Responsibilities

• Develop and maintain scalable ML pipelines for forecasting models.
• Collaborate with data scientists to implement robust solutions.

Skills

Machine Learning

Data Pipelines

Collaboration

Communication

Agile Practices

Education

Bachelor's Degree in Computer Science or related field

Advanced Degree in Computer Science or Machine Learning

Tools

Docker

Kubernetes

Grafana

Prometheus

xgboost

pytorch

Databricks

Job description

San Francisco, Boston, London, or Remote

About our Company

Equilibrium Energy is revolutionizing the clean energy transition by developing innovative grid-scale energy storage solutions. Our technology and market platform helps utilities, independent power producers, and commercial customers optimize their renewable energy assets, improve grid reliability, and accelerate decarbonization. As a fast-growing climate tech company, we're building infrastructure that will shape the future of energy markets and enable a sustainable energy economy.

Equilibrium Energy is a well-funded, Series B clean energy startup backed by some of the most prominent institutional investors in climate. New colleagues will share our vision that a next-generation energy company must be built from the ground up on deep industry expertise combined with an unwavering commitment to modern digital approaches. We’re looking for collaborative, talented, passionate and resourceful folks to join our team and help us lay the foundation for our important mission and ambitious plan.

What we are looking for

Our power sector is in the middle of a major transformation. Its increasingly renewable resource mix and demand-side changes require algorithmic management far beyond what was historically required. Because of this, scalable model development and deployment is at the heart of what EQ does. We are looking for experienced ML engineers who are passionate about helping to deliver this scientific platform – to stay at the forefront of AI/ML technology and operationalize those solutions at enterprise scale.

What you will do

You will be a member of EQ’s Science Platform team. Our Science Platform enables our internal data scientists, as well as external customers, to develop, experiment with, deploy, and monitor forecasting and optimization models at scale. We sit between our data and infra engineers and our scientists - developing frameworks for model development that are both robust and efficient to iterate within. We help bring the algorithmic capabilities of our scientists to a broad range of customer energy applications.

Key Responsibilities:

• Develop and maintain scalable ML pipelines, used to support forecasting and optimization models
• Design frameworks that support model experimentation, hyperparameter tuning, training, and deployment
• Collaborate closely with data scientists to understand new model requirements and together implement solutions that are robust, validated, and scalable
• Integrate with data and compute infrastructure to optimize resource utilization and performance
• Implement automated testing and monitoring for ML models in production
• Partner with our Product and Customer Delivery teams to enable external customers to perform similar tasks to our internal scientists, with minimal code divergence and following security best practices
• Stay up-to-date with the latest advancements in ML engineering and integrate best practices into the platform

The minimum qualifications you’ll need

• A commitment to clean energy and combating climate change
• Familiarity with automated build, deployment, and orchestration tools such as CI/CD, Pants, Docker, Metaflow, and Kubernetes
• Strong understanding of data pipelines, ETL, and data infrastructure
• Experience with observability tooling like Grafana, Honeycomb, and Prometheus
• Experience with common machine learning algorithms and libraries (xgboost, sklearn, pytorch, pandas, polars, pandera)
• Prior experience in operationalizing machine learning workflows
• Agility in working with cross-functional teams and adapting to new work methodologies
• Familiarity with agile practices, or a willingness to learn
• Strong communication skills for collaborating within a remote-first team that works internationally across timezones

Nice-to-have additional skills

• An advanced degree in computer science or machine learning
• Experience in time series forecasting
• Experience building tools that support data scientists
• Experience with Databricks, Spark, and dbt
• Background in the energy and power systems sector

What we offer

Equilibrium is composed of deeply knowledgeable industry experts across all our functions, with decades of experience in energy-specific commercial structuring, power systems engineering, machine learning, computational research, operations research, distributed and compute-intensive infrastructure, and modern software & ML engineering. Our experience in the space means we’ve previously built versions of nearly every technical component of our platform. We are now designing them better, and combining them in a holistic and novel way, to achieve global scale and climate impact. We pride ourselves on our deeply empathetic & collaborative culture, honest and direct but respectful communication, and our balanced, flexible, and remote-first work environment.

Employee benefits include:

• Competitive base salary and a comprehensive medical, dental, vision, and 401k package
• Opportunity to own a significant piece of the company via a meaningful equity grant
• Unlimited vacation and flexible work schedule
• Ability to work remotely from anywhere in the United States, Canada & Europe, or join one of our regional hubs in Boston, SF Bay Area, or London
• Accelerated professional growth and development opportunities through direct collaboration and mentorship from leading industry expert colleagues across energy and tech

Equilibrium Energy is a diverse and inclusive, equal opportunity employer that does not discriminate on the basis of race, gender, nationality, sexual orientation, veteran status, disability, age, or other legally protected status.

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