Preference Model
United States
Senior Machine Learning Engineer (Reinforcement Learning Environments)
- Machine Learning
- Python
- Pytorch
C
Machine Learning Engineer - LLM Post-Training for Agentic AI (Semiconductor Design)
Relocation
AI Summary
Join a venture-backed agentic AI startup to improve frontier models powering automated chip design and verification. You will train and fine-tune LLMs, build data pipelines and benchmarks, and deploy models to production for semiconductor clients. Requires 3-10 years as an ML Engineer or recent PhD, with hands-on LLM fine-tuning (SFT, RLHF) using Python and PyTorch.
Key Highlights
On-site 5 days/week in San Jose, CA
$180k-$350k+ base + generous equity
H-1B transfers and simple visa transfers accepted; no new sponsorships
Relocation support available
3-10 years ML experience or recent PhD
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Key Responsibilities
Train, fine-tune, and post-train LLMs for hardware design, RTL code generation, and verification tasks using SFT and RLHF
Build training data pipelines, synthetic data generation scripts, and domain-specific evaluation harnesses
Collaborate to optimize model latency, batching strategies, and inference workloads
Experiment with emerging LLM architectures and open-source models for real-world engineering workflows
Technical Skills Required
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Benefits & Perks
Generous equity
Relocation support
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Nice to Have
C++
CUDA
vLLM
SGLang
Ray
Verilog
SystemVerilog
RTL
EDA tools
Job Description
Company Type: Venture-Backed Agentic AI Startup ($134M Funding)
Location: San Jose, CA
Compensation: $180,000 – $350,000+ base salary + Generous Equity
Work Setup & Logistics
- Work Arrangement: 5 days in-office in San Jose, CA (On-site).
- Visa & Citizenship Status: Open to H-1B transfers and simple visa transfers (General new visa sponsorships are not offered; U.S. Citizens, Green Card holders, and H-1B transfers eligible).
- Relocation Assistance: Relocation support is available.
Role Overview
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