What are the responsibilities and job description for the Data Science Energy Specialist position at Keeling Labs, Inc?
Company Overview
At Keeling Labs, Inc., we are dedicated to harnessing the power of machine learning to combat climate change. Founded in 2022, our team has been working tirelessly to develop and apply innovative solutions to mitigate the effects of this global issue. Our core technology, which involves optimizing battery storage algorithms, has shown significant promise in unlocking gigawatts of untapped energy storage capacity.
Job Description
We are seeking an experienced Data Science Energy Specialist to join our team. In this role, you will be responsible for solving complex problems at the intersection of machine learning theory and real-world application. Your expertise in developing and deploying real-world ML in production applications will be instrumental in helping us scale our technology and impact in the grid.
Key responsibilities include:
Required Skills and Qualifications
To succeed in this role, you will need:
Benefits
We offer full health, dental, and vision insurance to all employees, along with unlimited PTO.
At Keeling Labs, Inc., we are dedicated to harnessing the power of machine learning to combat climate change. Founded in 2022, our team has been working tirelessly to develop and apply innovative solutions to mitigate the effects of this global issue. Our core technology, which involves optimizing battery storage algorithms, has shown significant promise in unlocking gigawatts of untapped energy storage capacity.
Job Description
We are seeking an experienced Data Science Energy Specialist to join our team. In this role, you will be responsible for solving complex problems at the intersection of machine learning theory and real-world application. Your expertise in developing and deploying real-world ML in production applications will be instrumental in helping us scale our technology and impact in the grid.
Key responsibilities include:
- Solving challenging problems to bridge ML theory and real-world application
- Optimizing training & inference runtime, performance, and cost
- Developing profiling and monitoring tools to oversee production performance
Required Skills and Qualifications
To succeed in this role, you will need:
- 3 years experience applying ML to physical, real-world applications in a production environment
- Strong coding background (Python/PySpark/Terraform/JAX or other ML frameworks)
- Experience building training architectures on cloud / strong overall cloud background (AWS)
- MSc, or PhD in engineering, physics, or computer science (or equivalent industry experience)
Benefits
We offer full health, dental, and vision insurance to all employees, along with unlimited PTO.
