Machine Learning Engineer

Developing artificial intelligence to understand biology for human health through open, safe research in partnership with scientific community.
$150,000 - $350,000
Machine Learning
Mid-Level Software Engineer
Hybrid
AI · Healthcare · Biotech

Description For Machine Learning Engineer

EvolutionaryScale is at the forefront of developing AI solutions for biological research, with a mission to advance human health through innovative technology. The Machine Learning Engineer role combines deep research with practical product development, focusing on deploying cutting-edge biological AI models. The position offers a competitive salary range of $150,000-$350,000 plus equity, with comprehensive benefits. The company values flexibility while maintaining a collaborative environment across their New York and San Francisco offices. They seek individuals who excel in their domains, prioritizing excellence and creativity over specific domain expertise. The role involves significant work with distributed computing, MLOps, and research pipeline optimization, making it ideal for engineers passionate about applying AI to biological sciences. The position offers unique opportunities to work with leading researchers and partners while contributing to groundbreaking developments in biological AI models. The hybrid work environment and strong focus on cross-disciplinary collaboration make this an exciting opportunity for those looking to make a significant impact in the intersection of AI and biology.

Last updated an hour ago

Responsibilities For Machine Learning Engineer

  • Contribute to transitioning research to product by deploying models to production environments
  • Collaborate with researchers and engineers at partner companies
  • Manage artifact tracking for different fine-tuned models and data
  • Conduct data pipeline work using Apache Spark, Apache Arrow, Pandas
  • Implement MLOps best practices and manage full ML lifecycle
  • Work on codebase abstractions to accelerate research
  • Execute modifications to research pipeline
  • Handle DevOps responsibilities including cluster monitoring and testing

Requirements For Machine Learning Engineer

Python
Kubernetes
  • Experience with Pytorch or low-level programming (preferred)
  • Experience with distributed computing frameworks like Apache Spark or Dask
  • Knowledge of cloud computing platforms (AWS, Google Cloud, or Azure)
  • Familiarity with Docker and Kubernetes

Benefits For Machine Learning Engineer

Medical Insurance
Dental Insurance
Vision Insurance
Equity
  • Comprehensive medical benefits
  • Dental benefits
  • Vision benefits
  • Competitive equity package

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