Machine Learning Engineer

Voltai; Palo Alto (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Voltai is building world models and agents to learn, evaluate, plan, experiment, and interact with the physical world from hardware to AI systems. The team includes leading researchers and executives from top tech companies and academia.

The ideal candidate will bring strong AI/ML engineering skills, a proven track record delivering AI/ML projects from concept to production, hands-on experience with fine-tuning and deploying LLMs, and experience with multi-modal models.

Qualifications

• Strong AI/ML engineering skills from top CS/EECS/Math/Physics programs.
• Proven track record delivering AI/ML projects from concept to production.
• Hands-on experience fine-tuning and deploying large language models (LLMs) in production environments.
• Experience with multi-modal models (text, image, audio).

Skills

AI/ML engineering

Production-grade ML

LLM fine-tuning

Multi-modal models

Job description

About Voltai

Voltai is developing world models, and agents to learn, evaluate, plan, experiment, and interact with the physical world. We are starting out with understanding and building hardware; electronics systems and semiconductors where AI can design and create beyond human cognitive limits.

About the Team

Backed by Silicon Valley’s top investors, Stanford University, and CEOs/Presidents of Google, AMD, Broadcom, Marvell, etc. We are a team of previous Stanford professors, SAIL researchers, Olympiad medalists (IPhO, IOI, etc.), CTOs of Synopsys & GlobalFoundries, Head of Sales & CRO of Cadence, former US Secretary of Defense, National Security Advisor, and Senior Foreign‑Policy Advisor to four US presidents.

What we’re Looking For

• Strong AI/ML engineering skills from top tier CS, EECS, Math and Physics programs.
• Proven track record of delivering AI/ML projects from concept to production.
• Hands‑on experience fine‑tuning and deploying large language models (LLMs) in production environments.
• Prior experience working with multi‑modal models (e.g., combining text, image, or audio inputs).

Bonus Points

• Background in competitive programming.
• Contributions to open‑source initiatives.
• Notable awards or publications in leading journals/conferences.
• Experience thriving in a fast‑paced, hyper‑growth startup environment.