Research Engineer II

Crystal Equation Corporation; Menlo Park (CA); Hybrid; USD 96,000 - 103,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision/life insurance

401K

Parental leave

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Machine learning

LLM experimentation

Python

PyTorch

Data analysis

Education

Bachelor's degree

Tools

PyTorch

Job description

Research Engineer II Hybrid Summary

Our company is seeking Research Engineers. We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world. We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale.

Responsibilities

• Carry out cutting-edge research to advance the science and technology of machine learning systems.
• Design methods, tools, and infrastructure to push forward the state of the art in large language models.
• Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.
• Suggest, collect and synthesize requirements and create an effective feature roadmap.
• Code deliverables in tandem with the engineering team.
• Publish research results and contribute to research that impacts product development.

Requirements

• 2+ years of hands-on experience in one or more of the following areas: machine learning, recommendation systems, pattern recognition, data mining or artificial intelligence
• Experience with developing machine learning models at scale, such as programmatically querying LLMs and LLM post-training.
• Programming experience in Python and hands-on experience with frameworks such as PyTorch.
• Experience writing software and executing complex experiments involving large AI models and datasets.
• Proven experience to translate insights into business recommendations
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

Preferred Qualifications

• Direct experience in generative AI and LLM research
• PhD degree or research focused Master degree in ML areas

Pay range

Pay range is $70 - $75 per hour with full benefits available, including paid time off, medical/dental/vision/life insurance, 401K, parental leave, and more.

Benefits

• paid time off
• medical/dental/vision/life insurance
• 401K
• parental leave

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