Research Engineer II — AI Systems at Scale

Crystal Equation; Menlo Park (CA); Hybrid; USD 96.000 - 103.000; Vollzeit

Benefits dieser Stelle

Paid time off

Medical/dental/vision/life insurance

401K

Parental leave

Zusammenfassung

Crystal Equation is seeking a Research Engineer II to advance AI research and build scalable ML systems in a hybrid California environment. You will collaborate with researchers and partners to plan, execute, and communicate progress on cutting-edge ML methods and large language models.

The role requires 2+ years of hands-on ML experience, strong Python/PyTorch skills, and the ability to translate insights into actionable business recommendations. Flexible benefits are provided by the company.

Qualifikationen

• 2+ years hands-on experience in machine learning, recommendation systems, pattern recognition, data mining or AI.
• Experience building ML models at scale, including querying LLMs and post-training tasks.
• Programming in Python with PyTorch or similar frameworks.
• Experience executing complex experiments on large AI models and datasets.
• Ability to translate insights into business recommendations.

Aufgaben

• Carry out cutting-edge research to advance ML system science.
• Design methods, tools, and infrastructure for large language models.
• Collaborate with researchers and cross-functional partners; communicate progress and results.
• Gather requirements and help create an effective feature roadmap.
• Code deliverables with the engineering team.
• Publish research results and contribute to product development.

Kenntnisse

Machine learning

LLM experimentation

Python

PyTorch

Data analysis

Ausbildung

Bachelor's degree

Tools

PyTorch

Jobbeschreibung

Crystal Equation is seeking a Research Engineer II to advance AI research and build scalable ML systems in a hybrid California environment. You will collaborate with researchers and partners to plan, execute, and communicate progress on cutting-edge ML methods and large language models.

The role requires 2+ years of hands-on ML experience, strong Python/PyTorch skills, and the ability to translate insights into actionable business recommendations. Flexible benefits are provided by the company.