Staff ML Engineer: LLM Fine-Tuning for RTL/Verilog

Highbrow Technology Inc; San Jose (CA); On-site; USD 150,000 - 200,000; Full time

Job summary

A prominent tech company in California seeks a Staff Machine Learning Engineer to lead the fine-tuning and deployment of LLM-based solutions for code workflows in secure environments. This role requires over 10 years of engineering experience, strong hands-on skills with PyTorch and AWS, and a proven ability to mentor. Key responsibilities include designing ML pipelines and leading production deployments. Ideal candidates will have knowledge of code/RTL workflows and exposure to inference optimization. This is a contract position.

Qualifications

• 10+ years engineering experience and 5+ years in ML/LLMs.
• Strong hands-on experience with PyTorch and Hugging Face.
• Experience with AWS and deploying LLMs in secure environments.

Responsibilities

• Lead LLM fine-tuning and production deployment.
• Design secure AWS-based ML pipelines.
• Mentor engineers and provide technical leadership.

Skills

PyTorch

Hugging Face

LoRA/QLoRA

PEFT

AWS

System design

Communication skills

Job description

A prominent tech company in California seeks a Staff Machine Learning Engineer to lead the fine-tuning and deployment of LLM-based solutions for code workflows in secure environments. This role requires over 10 years of engineering experience, strong hands-on skills with PyTorch and AWS, and a proven ability to mentor. Key responsibilities include designing ML pipelines and leading production deployments. Ideal candidates will have knowledge of code/RTL workflows and exposure to inference optimization. This is a contract position.