Machine Learning Engineer
Description:
Machine Learning Engineer (Speech & Audio)
A fast-growing, Y Combinator startup backed by top-tier investors is scaling its ML/Research org.
In under a year, they've partnered with all of the top leading AI labs and most of the MAG7 - proving they have a true product-market fit.
If you're excited about unlocking the power of real-world data, and want to work with an elite team of engineers and founders, we’d love to hear from you.
What You’ll Do
Research, design and and implement advanced signal processing and ML models for speech/audio.
Build production-grade inference algorithms, APIs, and pipelines.
Architect resilient systems for real-time inference and evaluation.
Influence the ML roadmap and lead technical direction
What We’re Looking For
4+ years of experience building ML models - ideally related to audio, speech or digital process signalling
End-to-end ownership of ML pipelines from prototype to production.
Strong Python skills and proficiency in frameworks like PyTorch.
A product-minded, collaborative approach to ML development.
Graduate degree (PhD or Master’s) in Computer Science or related field.
You'll receive signifcant equity in a rocketship start-up, as well as unlimited PTO, fantastic healthcare, dental and vision coverage, and free lunch and dinner every day.
Sound like you? Please don't hesitate to apply!