Senior Machine Learning Engineer (Austin)

Staff Machine Learning Engineer - LLMs / Mixture-of-Experts

(Hybrid Austin, US Citizens Only)

The Role

Are you excited by the challenge of pushing the boundaries of what modern AI models can do - especially when data is limited? A fast-growing AI platform is looking for a Staff Machine Learning Engineer to help shape the next generation of large-scale intelligent systems.

In this role, youll take the lead on developing advanced Large Language Models (LLMs) and Mixture-of-Experts (MoE) architectures, driving innovation that directly influences product capabilities and performance. If you thrive at the intersection of research and real-world impact, youll feel right at home here.

This hybrid role is based in Austin, Texas , with relocation support available for qualified candidates. U.S. citizenship is required due to work involving security-sensitive projects .

What Youll Work On

• Architect, train, and optimize cutting-edge LLMs and MoE-based systems.
• Experiment with novel algorithms to improve efficiency, scalability, and model performance.
• Collaborate closely with engineering and product teams to deploy ML capabilities into production.
• Contribute to pioneering research in ML and NLP, driving methodological advancements.
• Mentor engineers and help shape technical best practices across the organisation.

What Were Looking For

Bonus Skills

Why Youll Love It

Youll join a team that embodies transparency, ownership, tenacity, and humility - values that guide both technical decision-making and collaboration.

Youll also enjoy :

This role is hybrid in Austin with relocation assistance offered for the right candidate.

Only U.S. citizens are eligible due to the security clearance requirements.