Research Engineer

Highlights

• Shape frontier audio AI models used by millions of people worldwide.
• Train state-of-the-art models and push them further with novel paradigms.
• Design rigorous benchmarks to tell whether new model iterations are better.

What they offer

• Annual discretionary learning & development stipend
• Annual discretionary social travel stipend to meet colleagues
• Annual company offsite
• Monthly co-working stipend if away from main hubs

Ideal candidate

Autonomous, impact-driven engineer fascinated by frontier audio AI who loves training models, improving data, and rigorously measuring progress. Thrives in high-velocity, AI-first teams and shows hard problems solved via projects or open source.

Requirements

• 3+ years of experience in AI with implementing, training and improving machine learning models
• Demonstrated ability to autonomously evaluate novel concepts or enhance ML projects, potentially with published work
• Experience conducting exploratory research to improve quality of gathered data
• Portfolio of past projects, designs or GitHub contributions showing hard problems solved