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AI Research Engineer

Job

Code Metal

Palo Alto, CA (In Person)

Full-Time

Posted 2 days ago (Updated 5 hours ago) • Actively hiring

Expires 6/29/2026

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Job Description

More Results AI Research Engineer Employer Code Metal Location Palo Alto, California, US Salary Competitive Closing date Jun 1, 2026 View more categories View less categories Sector Academic / Research Field Informatics / GIS Discipline Biology Salary Type Salary Employment Type Full time Apply on website Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Send job Job Details Job DescriptionJob Description Our mission is to enable hardware deployment at the speed of software development. We are working towards automatic code transpilation and optimization for any hardware application. In this role, you will collaborate with a small team of talented researchers on ambitious, greenfield projects in generative AI and reinforcement learning.
Core responsibilities:
Design, execute, and analyze experiments with a high degree of independence Contribute to core models and frameworks Create high-quality datasets (both in-the-wild and synthetic) Perform literature reviews and implement new techniques from papers Contribute to publications, present at conferences and workshops, etc.
Research Areas of Interest:
An incomplete list of current and near-term research directions: Contrastive representation learning Steerability and guided decoding Tractable probability models Code-specific architectures LLM fine-tuning, post-training, RLHF Requirements Ph.D. in Computer Science or a closely related field Prior LLM research experience Comfortable programming in Python and familiar with frameworks such as
PyTorch and HuggingFace Preferred Qualifications:
Publications at peer-reviewed conferences such as NeurIPS, ICLR, ICML, etc. Experience with large-scale LLM training, particularly in a distributed computing environment Benefits Competitive salary Health care plan (medical, dental, and vision) Retirement plan (401k, IRA) with employer matching Unlimited PTO Flexible hybrid work arrangement Relocation assistance for qualifying employees Share this job Facebook Twitter LinkedIn Apply on website Send job Apply on website Save job Click to add the job to your shortlist You need to sign in or create an account to save a job. Get job alerts Create a job alert and receive personalized job recommendations straight to your inbox. Create alert