Machine Learning Engineer

EvolutionaryScale’s mission is to develop artificial intelligence to understand biology for the benefit of human health and society, through open, safe, and responsible research, and in partnership with the scientific community.

Requirements

• Contribute to the process of transitioning research to product by deploying models to production environments.
• Collaborate with researchers and engineers at the company’s partners (clients or academic partners) to deploy the company’s technology within their infrastructure.
• Manage artifact tracking for different fine-tuned models and data.
• Conduct data pipeline work including use of Apache Spark, Apache Arrow, Pandas, distributed computing for large-scale data processing
• Help cultivate best practices in MLOps, and think about the full ML lifecycle, including data, fine-tuning, deployment, reliability and monitoring
• Work on simplification and improvement of codebase abstractions to accelerate research momentum
• Possess the ability to execute complex modifications to the research pipeline, such as fast data loading and distributed training
• Handle DevOps responsibilities, focused on making all engineers and researchers more productive.

Benefits

• Comprehensive medical, dental, and vision benefits
• Competitive equity package