Machine Learning Engineer

Job Title:
Machine Learning Engineer – Speech & Audio

Location:
Remote (United States)

Type:
Permanent

Salary:
Competitive + significant equity

A fast-growing Y Combinator startup, backed by top-tier investors and already partnered with several of the MAG7 and leading AI labs, is expanding its Machine Learning & Research team. With a product that’s found market fit in under a year, this is a rare opportunity to join an elite group of engineers tackling real-world signal and audio challenges at scale.

What You’ll Do:

• Research, design, and implement cutting-edge ML and signal processing models for speech/audio

• Build production-ready inference pipelines, APIs, and robust infrastructure

• Architect scalable systems for real-time model inference and evaluation

• Influence the technical direction and ML roadmap as a key contributor

What We’re Looking For:

• 4+ years’ experience developing ML models, ideally in audio, speech, or signal processing domains

• Proven track record owning ML pipelines end-to-end—from prototyping to deployment

• Strong Python skills and experience with PyTorch or similar frameworks

• Product-minded and collaborative, with an eye for real-world impact

• Graduate degree (Master’s or PhD) in Computer Science, Machine Learning, or a related field

What You’ll Get:

• Significant equity in a high-velocity startup

• Unlimited PTO

• Premium healthcare, dental, and vision cover

• Daily free lunch and dinner

• A chance to shape the future of audio AI with some of the brightest minds in the space