Materials-Aware AI Research Engineer (Remote • Equity)

Partner Company; United States; Remote; USD 182,000 - 210,000; Full time

Benefits offered by this job

401(k) with company match

Health/vision/dental insurance

12 weeks paid parental leave

Flexible paid time off

Equity options

$5,000 annual continuing education

Job summary

Partner Company develops materials-aware AI for scientific and industrial applications. The team writes production-quality Python/ML code, prototypes new models, and builds scalable systems for large-scale research and manufacturing settings.

We value autonomy, collaboration, and continuous learning in a remote environment, with supporting benefits and a strong emphasis on measurable customer impact.

Qualifications

• 8+ years of experience or 3+ with a master's/PhD in a quantitative field.
• Proficient in Python or Scala with production-quality software development.
• Proven experience delivering AI/ML solutions with measurable results.

Responsibilities

• Write, test, and maintain production-quality Python ML code and core libraries.
• Research and develop materials-aware ML models, algorithms, and features.
• Design high-performance, scalable ML systems for industrial-scale scientific applications.

Skills

Python

Scala

ML engineering

Production-grade software

Education

Master's degree or PhD in quantitative discipline

Tools

Python

Scala

Job description

Partner Company develops materials-aware AI for scientific and industrial applications. The team writes production-quality Python/ML code, prototypes new models, and builds scalable systems for large-scale research and manufacturing settings.

We value autonomy, collaboration, and continuous learning in a remote environment, with supporting benefits and a strong emphasis on measurable customer impact.