Location: New York City, San Francisco, London, Munich   |   Full-Time   |   $160,000 - $220,000
Python PyTorch TensorFlow AI Machine Learning Generative AI MLOps AI Engineer Data Science

About Uncountable: We build SaaS solutions that help scientists accelerate R&D in materials, chemicals, and life sciences. With our MIT and Stanford engineering team, we’ve been profitable since 2016 and grown from 30 to 70 employees.

Key Responsibilities:

  • Develop and deploy generative AI models for scientific applications
  • Collaborate with domain scientists to identify use cases for AI
  • Optimize machine learning models for scientific data
  • Build scalable infrastructure for AI model serving
  • Create documentation and best practices for model deployment
  • Contribute to research initiatives exploring new AI applications

Required Skills:

  • 5+ years of experience in AI/ML engineering
  • Proficiency in Python, PyTorch/TensorFlow
  • Experience with large language models and scientific AI applications
  • Knowledge of MLOps best practices
  • Strong software engineering fundamentals
  • Experience with scientific data processing

Ideal Candidate:

  • Passion for applying AI to solve scientific challenges
  • Track record of building production AI systems
  • Ability to collaborate with domain scientists
  • Experience with model versioning and deployment
  • Familiarity with scientific computing libraries
  • Commitment to ethical AI development and transparency
Post Date: June 6, 2025