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Equilibrium Energy

Company
11-50
Remote

Sectors

Energy

Company Description

Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain. Our mission is to accelerate our collective path to climate, energy, and societal equilibriums. Our goal is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry.

We pride ourselves on our deeply collaborative culture, our honest and direct but respectful communication, the empathy and care that we show for each other, and our balanced, flexible, and remote-first work environment (we have regional hubs in the SF Bay area, Boston and London, but anyone can work from anywhere without paying an influence or access-to-information tax). 

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 design our commercial strategies, operational approaches, and product suites so as to best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines. These capabilities are enabled by our progressively modern software stack and engineering best practices, which in turn provide the scalable platform we need to put a serious dent in carbon emissions. 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.

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. 

Come join us!

Jobs (4)

Quantitative Analyst - Power Markets (Staff / Sr Staff)

Full time role
Remote
Sep 24, 2022
About our Company Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain. Our mission is to accelerate our collective path to climate, energy, and societal equilibriums. Our goal is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry. 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 design our commercial strategies, operational approaches, and product suites so as to best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines. These capabilities are enabled by our progressively modern s oftware stack and engineering best practices, which in turn provide the scalable platform we need to put a serious dent in carbon emissions. 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 Equilibrium was founded with a vision for building a company where innovation, collaboration, machine learning, and data science power all aspects of our algorithmic decision-making. We are looking for staff / sr staff quantitative analysts with a heavy focus on trading strategy research and development in the energy space to accelerate the maturation of our quantitative trading business, while helping to shape the science-driven products, tools, & processes that will drive the future success of our company. As a key member of our computational sciences group, you will play an active role in a) cultivating our culture of experimentation, signal discovery, and incremental delivery, b) facilitating research into profitable strategy development and energy market dynamics, c) helping to identify, recruit, train, and mentor members of our growing team of exceptional trading analysts, and d) partnering with our engineers, product managers, scientist, and commercial team to influence the near to medium term product roadmap. What you will do Use research insights to shape product direction : Influence product and engineering roadmaps through presentation of research insights, experimental results, and trading strategy backtest metrics, in order to evolve organizational direction. Initiate and lead cross-functional engagements to surface, prioritize, formulate, and structure complex and ambiguous challenges where advanced novel quantitative analytics or machine learning techniques can drive outsized company trading impact. Trading performance analytics : Investigate driving factors in trading over/under performance, identifying learnings, and drive a fly-wheel of continuous strategy improvement and team education. Research, develop, backtest, and deploy novel quantitative trading signals and strategies in the energy domain : Identify and extract sources of trading alpha by researching multiple energy datasets, surveying industry techniques & domain intuition, and executing hands-on experimental models & backtests. Drive the design, specification, development, and production deployment of our suite of novel quantitative trading solutions. Lead short to medium term research projects that advance the state-of-the-art in quantitative research techniques, as applied to energy asset management and financial trading. The minimum qualifications you’ll need Passion for clean energy and fighting climate change An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline 6+ years experience in quantitative research & analytics, automated systematic financial trading, or similar role, in the US Power Markets 4+ years experience with python and the supporting computational science tool suite (e.g. numpy, scipy, pandas, scikit-learn, tensorflow, etc) Experience in the electricity and energy domain (e.g. wholesale market prices) Experience developing, releasing, and tracking performance of quantitative trading strategies in production Experience communicating mathematical concepts, analytical results, and data-driven insights to both technical and non-technical audiences A collaboration-first mentality, with a willingness to teach as well as learn from others Nice to have additional skills Experience designing and building novel statistical models on time series data, including characterizing probabilistic outcome uncertainty Experience with database technologies and sql Experience with probability, hypothesis testing, and uncertainty quantification Experience with optimization techniques (e.g. stochastic optimization, robust optimization) Experience with data visualization and dashboarding technologies (e.g. plot.ly Dash, Streamlit) Experience leading and mentoring a team of analysts Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. 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 & 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.

Software Engineer (all levels)

Full time role
Remote
Sep 11, 2022
About our Company Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain. Our mission is to accelerate our collective path to climate, energy, and societal equilibriums. Our goal is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry. 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 design our commercial strategies, operational approaches, and product suites so as to best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines. These capabilities are enabled by our progressively modern s oftware stack and engineering best practices, which in turn provide the scalable platform we need to put a serious dent in carbon emissions. 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 We are looking for Software Engineers to contribute across our end-to-end platform. Our software engineers work across cloud infrastructure and distributed systems, data engineering, ML engineering and MLOps, simulation ecosystems, complex workflow orchestration, microservices mesh, application development and security. Our software engineers supercharge design and delivery of our product development activities while helping to build and lead an engineering capability that is the core of the company’s strategy and identity. If you want to fight climate change and love modern tech stacks, clarity of product vision, and exceptional colleagues, this role is for you! In the near-term, you will work with other software engineers, data engineers, infrastructure engineers, ML engineers, data scientists, researchers and product managers to execute our ML- and AI-infused product development plan en route to growing our company. Have a specific interest in a particular part of our technical stack? No problem...we’re looking for technical leaders across our ecosystem. In the medium-term, you will cultivate our software engineering function by nurturing a culture of experimentation and delivery. You will design, write and optimize software to support our end-to-end product development ambitions, helping to build the core of our competitive differentiation. What you will do Lead the design, development, testing, delivery and support of software systems across our technical stack that drive our end-to-end product development ambitions. Cloud and distributed systems development - contribute to building and maintaining our cloud-native platform and infrastructure; K8s, cluster management, linux containers, etc. Data Platform and Engineering - our use cases are varied and so are our data engineering needs. From stream, batch, pub-sub, queuing, state stores, virtualization, complex data models and closed-loop pipelines, we’ve got a little bit of everything. ML Engineering and MLOps - we aim to infuse EVERY business process with ML and AI, relying on closed-loop decision-making at every valuable juncture. Simulation ecosystem - our ML- and AI-centric workflows need training and testing. Workflow orchestration - we live in the land of complex, autonomous, multi-step sequential workflows operating in a distributed runtime with low latency requirements. Service mesh - we rely heavily on reuse of core microservices to keep application development productivity high, which requires thoughtful service mesh management. Application development - we’ve just started designing and developing across our anchor product suites, each focused on leveraging a common platform and service core. DevSecOps - security is inherently embedded within our development and operations practices, and we leverage bespoke security techniques for some unique exposures. Assist in product development strategy, design, planning and productivity. Contribute your unique technical, user, and market knowledge to product strategy. Contribute to product and architectural design. Contribute to product roadmapping, resource planning and sprint management. Contribute to product development productivity improvements, including best practices, technical documentation, code reviews and automation / utility / abstraction packages. Serve as a member of our technical team across both engineering and research. Collaborate asynchronously with engineers, researchers and product managers across time zones to design, build and ship code. Contribute to technical strategy and planning across the company. Represent Equilibrium in external venues, including presenting work at conferences and contributing to open-source projects. The minimum qualifications you’ll need Passion for clean energy and fighting climate change BS/Master's degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering) or equivalent practical experience. Software development experience in Python, Go, Julia, C, or Rust. 4 years of relevant work experience. Nice to have additional skills PhD degree in a quantitative discipline (e.g., Computer Science, Operations Research, Industrial Engineering, Mathematics, Economics, Physics, Electrical Engineering). 8 years of relevant work experience, including expert software engineering fundamentals and experience building software to support ML and AI pipelines, and associated data structures. Expertise in Go, Python, C, Rust, or Julia. Experience with orchestration tools like Temporal. Advanced proficiency across a range of data engineering tools (ELT, streaming, pub-sub, relational DBs, object DBs, GraphDBs, etc.). Deep expertise across any one of our tech stack domains: cloud infrastructure, data platform and engineering, IOT, MLOps and ML pipelines, simulation ecosystems, workflow orchestration, microservices orchestration, and/or application development. Familiarity supporting and releasing ML/AI models that drive operational workflows (e.g., models that run and produce new inferences every hour of the day). Proactive communicator who can translate product design specs into organized code. Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy. Demonstrated proactivity and self-direction. Willingness to teach as well as learn. Excellent team collaboration skills and collaboration-first mentality. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. 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 & 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.

Energy Operations Research Engineer (Staff / Sr Staff)

Full time role
Remote
Sep 1, 2022
About our Company Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain. Our mission is to accelerate our collective path to climate, energy, and societal equilibriums. Our goal is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry. 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 design our commercial strategies, operational approaches, and product suites so as to best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines. These capabilities are enabled by our progressively modern s oftware stack and engineering best practices, which in turn provide the scalable platform we need to put a serious dent in carbon emissions. 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 At Equilibrium, we are building a company where collaborative and cross-functional innovation across deeply integrated and cohesive product and engineering teams drives superior product vision, design, and execution. We are looking for a Staff / Senior Staff Energy Operations Research Engineer who shares our vision that an energy company can be built by leveraging deep domain expertise alongside a commitment to data, ML, AI, and automated workflows to act upon data-driven insights autonomously. As the Senior Staff Energy Operations Research Engineer, you will provide technical leadership and partner with cross-functional teams to design, develop, and deliver energy operations research capabilities that underpin the company’s future successes in autonomous trading and asset optimization. What you will do Architect and maintain economic optimization models that drive the company valuation of market participation in global wholesale electricity markets Formulate and develop optimization models for market participation and optimal bidding strategy of the company portfolio in global electricity markets Conceptualize, formulate and develop bidding modules to incorporate multi-use applications (i.e. customer, portfolio, grid, and market use cases) into the company economic optimization platform Develop risk mitigation strategies and turn them into quantitative optimization model features for market transactions. Collaborate with the Data Science team to define requirements for the generation of probabilistic Energy, Ancillary Service, and other electricity market price forecasts. Work with Software Engineering, Product and  Data Science teams to design, deploy monitor and improve optimization and bidding model performance Contribute to and lead research projects that advance the state-of-the-art for energy management technologies and improve end-to-end trading operations. The minimum qualifications you’ll need Passion for clean energy and mitigating climate change! BA/BS/Master's degree in a quantitative discipline (e.g., Operations Research, Industrial Engineering, Mathematics, Computer Science, Economics, Physics, Electrical Engineering, Power System Modelings) or equivalent practical experience. 4 years of work experience in the energy industry Development experience in Python and databases (e.g., SQL) Knowledge of optimization techniques (e.g., stochastic optimization, robust optimization, etc.) Nice to have additional skills PhD degree in a quantitative discipline (e.g., Operations Research, Industrial Engineering, Mathematics, Computer Science, Economics, Physics, Electrical Engineering, Power System Modeling) 8 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. Advanced proficiency in Python, Golang, and databases (e.g., SQL) Experience in High-Performance Computing platforms Demonstrated experience with developing and releasing operational optimization models in the electricity and energy domain Experience with optimization modeling packages and solvers Familiarity with optimization techniques (e.g., stochastic optimization, robust optimization, etc.) Proactive communicator who can translate product design specs into organized code. Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy. Demonstrated proactivity and self-direction. Willingness to teach as well as learn. Excellent team collaboration skills and collaboration-first mentality Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. 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 & 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.

Energy Operations Research Engineer (Eng / Sr Eng)

Full time role
Remote
Aug 8, 2022
About our Company Equilibrium Energy is a well-funded, Series A clean energy startup backed by some of the most prominent institutional investors in climate. We are building a digital native power company operating at the intersection of grid variability, market volatility, economic optimization, commercial structuring, and risk management, across the end-to-end power value chain. Our mission is to accelerate our collective path to climate, energy, and societal equilibriums. Our goal is to become one of the next-generation, digital-native, end-to-end global clean power companies that reshapes the energy industry. 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 design our commercial strategies, operational approaches, and product suites so as to best leverage data-driven insights, automated workflows, ML-infused pipelines, and fully automated decision engines. These capabilities are enabled by our progressively modern s oftware stack and engineering best practices, which in turn provide the scalable platform we need to put a serious dent in carbon emissions. 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. At Equilibrium, we are building a company where collaborative and cross-functional innovation across deeply integrated and cohesive product and engineering teams drives superior product vision, design, and execution. We are looking for an Energy Operations Research Engineer / Senior Energy Operations Research Engineer who shares our vision that an energy company can be built by leveraging deep domain expertise alongside a commitment to data, ML, AI, and automated workflows to act upon data-driven insights autonomously. As the Senior Energy Operations Research Engineer, you will provide technical assistance and partner with cross-functional teams to design, develop, and deliver energy operations research capabilities that underpin the company’s future successes in autonomous trading and asset optimization. Responsibilities Develop and maintain economic optimization models that drive the company valuation of market participation in global wholesale electricity markets Formulate and develop optimization models for market participation and optimal bidding strategy of the company portfolio in global electricity markets Conceptualize, formulate and develop bidding modules to incorporate multi-use applications (i.e., customer, portfolio, grid, and market use cases) into the company economic optimization platform Develop risk mitigation strategies and turn them into quantitative optimization model features for market transactions. Collaborate with the Data Science team to define requirements for generating probabilistic Energy, Ancillary Service, and other electricity market price forecasts. Work with Software Engineering, Product, and  Data Science teams to design, deploy, monitor, and improve optimization and bidding model performance. Contribute to research projects that advance state-of-the-art for energy management technologies and improve end-to-end trading operations. Minimum Qualifications Passion for clean energy and mitigating climate change! BA/BS/Master's degree in a quantitative discipline (e.g., Operations Research, Industrial Engineering, Mathematics, Computer Science, Economics, Physics, Electrical Engineering, Power System Modelings) or equivalent practical experience. 2 years of work experience in the energy industry Development experience in Python and databases (e.g., SQL) Knowledge of optimization techniques Preferred Qualifications Ph.D. degree in a quantitative discipline (e.g., Operations Research, Industrial Engineering, Mathematics, Computer Science, Economics, Physics, Electrical Engineering, Power System Modeling) 4 years of relevant work experience, including expertise with statistical data analysis such as linear models, multivariate analysis, stochastic models, and sampling methods. Advanced proficiency in Python, Golang, and databases (e.g., SQL) Experience in High-Performance Computing platforms Demonstrated experience with developing and releasing operational optimization models in the electricity and energy domain Experience with optimization modeling packages and solvers Familiarity with optimization techniques (e.g., stochastic optimization, robust optimization, etc.) Proactive communicator who can translate product design specs into organized code. Experience communicating the results of analyses with product, engineering, and leadership teams to influence product and engineering strategy. Demonstrated proactivity and self-direction. Willingness to teach as well as learn. Excellent team collaboration skills and collaboration-first mentality. Not sure this is the right role for you? We are a high growth company with accelerating hiring needs so there’s a great chance we’ll be able to create a custom role for you, now or in the future. All roles, titles and compensation packages are tailored to the applicant, so apply anyways and tell us in your cover letter about your dream role. 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 & 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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Sectors

Energy

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