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