Research Engineer

Highlights

• Work at the frontier of audio AI shaping models used by millions.
• Train state-of-the-art models and push them further via post-training.
• Design rigorous benchmarks to judge if new model iterations are genuinely better.

What they offer

• Annual discretionary learning and development stipend
• Annual discretionary social travel stipend to meet colleagues
• Annual team offsite in a new location
• Monthly co-working stipend if not near a hub

Ideal candidate

An autonomous, impact-driven engineer who loves solving hard problems and pushing state-of-the-art models further through experimentation and rigorous evaluation.

Requirements

• 3+ years of experience in AI with emphasis on implementing, training and improving machine learning models
• Demonstrated ability to autonomously evaluate novel concepts or improve ML projects, with potential published contributions
• Experience conducting exploratory research to improve quality of gathered data