Artificial Intelligence Research Engineer
2 weeks ago
At EvolutionaryScale, we're revolutionizing biology through artificial intelligence. Our mission is to develop AI that understands biology for the benefit of human health and society. We're an open, safe, and responsible research partner with the scientific community.
We prioritize excellence and creativity over specific domain expertise. Having both biology and AI expertise is a plus, but not required. Our team does deep research and product development, building frontier biological AI models and putting them in the hands of researchers. This requires elite engineers and scientists working together to solve big challenges.
Our team is based in San Francisco and New York, offering flexibility around work schedules and locations. However, we expect our team members to work half of the days or more from one of our two offices.
The Role- Contribute to transitioning research to production environments by deploying models.
- Collaborate with partners to deploy technology within their infrastructure, representing the company effectively.
- Manage artifact tracking for fine-tuned models and data.
- Work on data pipelines using Apache Spark, Apache Arrow, Pandas, and distributed computing for large-scale processing.
- Help establish best practices in MLOps, considering the full ML lifecycle.
- Simplify and improve codebase abstractions to accelerate research momentum.
- Execute complex modifications to the research pipeline, including fast data loading and distributed training.
Preferred qualifications include experience with PyTorch, low-level programming, distributed computing frameworks like Apache Spark or Dask, cloud computing platforms like AWS, Google Cloud, or Azure, containerization tools like Docker, and orchestration tools like Kubernetes.
Estimated salary: $187,500 - $387,500 per year, plus a competitive equity package and comprehensive benefits.
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