Battery Machine Learning Engineer
New York
Full Time USD 120K - 150K
Schrödinger
Schrödinger is the scientific leader in developing state-of-the-art chemical simulation software for use in pharmaceutical, biotechnology, and materials research.Schrödinger seeks a Battery Machine Learning Infrastructure Engineer to aid us in our mission to improve human health and quality of life through the development, distribution, and application of advanced computational methods!
As a member of our Machine Learning team, you’ll play a key role in creating cheaper and more efficient batteries and testing the limits of classical approximations to quantum mechanics. You’ll also have the opportunity to communicate and collaborate with team members across many different departments and disciplines.Who will love this job:
- A software engineer with an interest in physical science
- An innovator who wants to contribute to leading battery chemistry simulation models
- A tooling evangelist who sees manual repetition as wasteful
- A cloud enthusiast who wants to regularly burst tens of thousands of CPUs and hundreds of GPUs
- An excellent communicator and documenter
What you’ll do:
- Help speed up research and productionisation of exciting and innovative projects
- Generate, store, and train on sets of millions of quantum chemistry simulations
- Optimize a containerized development and deployment process for a machine learning platform
- Build scientific validation tools to ensure high performance of machine learning models as code and data change
- Create tooling to give team members easier access to cloud burst CPUs and GPUs
We’d prefer to hire an applicant with some experience in:
- Introducing a containerized system to production on kubernetes
- Extending CI/CD systems for increasing engineering or scientific velocity
- Maintaining and provisioning infrastructure on Google Cloud Platform (GCP)
- Supporting GPUs on cloud systems
- Upholding or building multi-platform tools
- Large-scale distributed computing (pbs, slurm, MPI)
- Classical science - a degree in chemistry, physics, biology, or a related field is a huge plus!
Tags: Biology Chemistry CI/CD Engineering GCP Google Cloud Kubernetes Machine Learning ML infrastructure ML models Physics Research Testing
Perks/benefits: Career development Competitive pay Equity Flex hours Flex vacation Health care Lunch / meals Parental leave Startup environment Team events
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