Machine Learning Scientist Staff Sr Staff - Power Markets
Equilibrium EnergyLocation not specified
Full Time
Posted January 10, 2024
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Job Description
The job involves working as a senior machine learning scientist at Equilibrium Energy, focusing on the design and delivery of machine learning models and insights dashboards to support clean energy solutions. The role includes collaborating with cross-functional teams, leading research projects, and influencing product direction through advanced machine learning techniques.
Key Responsibilities
- Shape product direction using research insights
- Influence product and engineering roadmaps with research insights and model performance metrics
- Lead cross-functional engagements to address complex challenges with deep learning research
- Formulate and apply novel machine learning solutions to the energy domain
- Drive the design, development, and deployment of deep learning solutions
- Lead research projects advancing deep learning in energy asset management and financial trading
- Define and evaluate success metrics for machine learning models to diagnose performance and identify improvement opportunities
Requirements
- An advanced degree in computer science, data science, machine learning, artificial intelligence, operations research, engineering, or related quantitative discipline.
- 4 years experience in data science, research science, machine learning, or similar role, applying and adapting deep learning, graph neural networks, or reinforcement learning techniques to time series regression forecasting problems.
- 2 years experience in the electricity energy domain, e.g., electricity price forecasting, congestion prediction, etc.
- 3 years experience with Python and the supporting computational science tool suite, e.g., numpy, scipy, pandas, scikit-learn, tensorflow, etc.
- Experience developing, releasing, and tracking performance of ML models 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.
Benefits & Perks
Competitive base salary
Comprehensive medical, dental, vision, and 401k package
Opportunity to own a significant piece of the company via a meaningful equity grant
Unlimited vacation
Flexible work schedule
Ability to work remotely from anywhere in the United States, Canada, or Europe
Accelerated professional growth and development opportunities through direct collaboration and mentorship
Ready to Apply?
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