Responsibilities:
- Write, develop, test, and maintain production-quality Python machine learning code and core libraries.
- Research, prototype, and develop new materials-aware machine learning models, algorithms, and product features.
- Design and implement high-performance, scalable machine learning systems for industrial-scale scientific applications.
Requirements:
- 8+ years of relevant professional experience, or 3+ years with a master's or PhD in a quantitative discipline.
- Strong proficiency in Python or Scala with demonstrated production-quality software development.
- Proven experience implementing AI or machine learning solutions for customers with measurable results.
Benefits:
- Annual salary range of $182,000–$210,000 USD.
- 401(k) with up to 4% company match, medical/vision/dental insurance, and 12 weeks paid parental leave.
- Flexible paid time off, equity options, and a $5,000 annual continuing education allowance.
Partner Company
The company develops materials-aware AI capabilities for scientific and industrial applications. They value autonomy, collaboration, and continuous learning in a remote environment.