Applied Machine Learning Engineer Audio & Speech
Applied Machine Learning Engineer Audio & Speech
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1 Vacancy
Job Description
Applied Machine Learning Engineer Audio & Speech
Location: San Francisco or New York (Onsite preferred)
Compensation: $200000 $250000 Competitive Equity
Employment Type: Fulltime Permanent
Visa Sponsorship: Available
Who are we
Were an earlystage highgrowth startup at the intersection of AI and audio. Our mission is to bring AI into the real world starting with sound. Audio is the most human accessible and versatile input and we believe its the gateway to truly intelligent systems. Our team is pioneering a new category by applying rigorous R&D practices to the creation of highquality audio datasets that fuel nextgeneration models.
In less than a year weve secured partnerships with top AI labs and most of FAANG raised $5M from leading investors and built a team of ambitious humble and missiondriven builders. Now were hiring applied ML engineers to help us unlock the full potential of audio AI.
Whats in it for you
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Build generative AI models that directly advance the field of speech and audio
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Full ownership over ML pipelines from research to realworld deployment
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Work with a tightknit team of former AI infrastructure builders from top companies
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Rapid career growth at one of the fastestmoving companies in a booming space
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Competitive salary equity
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100% paid health dental and vision insurance
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Daily paid meals via DoorDash
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Flexible PTO 401k access
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Visa sponsorship available
What will you do
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Research and develop advanced ML models for speech and audio use cases
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Translate cuttingedge research into highquality production Python code
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Own the full ML pipeline from POC to deployment in cloud environments (AWS or GCP)
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Build APIs and inference systems that surface insights from highquality data
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Work crossfunctionally with Operations to source shape and evaluate training datasets
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Architect resilient infrastructure for model training evaluation and production inference
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Help define the companys ML roadmap and lead investments in research and tooling
What will you need
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5 years of experience in machine learning with at least 2 years in DSP/audio ML
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Demonstrated experience shipping ML systems endtoend (not just research)
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Strong Python skills and proficiency in deep learning frameworks like PyTorch
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Expertise in cloud environments (AWS or GCP) for training and deploying models
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Ability to think holistically about model performance UX and business value
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Experience in speech or audio research and/or production
Bonus points for:
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Experience training generative AI models
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PhD or Masters in Computer Science ML or a related field
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Leading ML teams and driving technical direction
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Experience building classical and MLbased audio signal processing systems
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Startup experience particularly in zerotoone product development
Were hiring two engineers for this role so if youre passionate about audio ML and making a realworld impact wed love to hear from you. Youll be joining a team that values speed ownership technical excellence and above all building things that matter.
Applied Machine Learning Engineer Audio & Speech
Location: San Francisco or New York (Onsite preferred)
Compensation: $200000 $250000 Competitive Equity
Employment Type: Fulltime Permanent
Visa Sponsorship: Available
Who are we
Were an earlystage highgrowth startup at the intersection of AI and audio. Our mission is to bring AI into the real world starting with sound. Audio is the most human accessible and versatile input and we believe its the gateway to truly intelligent systems. Our team is pioneering a new category by applying rigorous R&D practices to the creation of highquality audio datasets that fuel nextgeneration models.
In less than a year weve secured partnerships with top AI labs and most of FAANG raised $5M from leading investors and built a team of ambitious humble and missiondriven builders. Now were hiring applied ML engineers to help us unlock the full potential of audio AI.
Whats in it for you
- Build generative AI models that directly advance the field of speech and audio
- Full ownership over ML pipelines from research to realworld deployment
- Work with a tightknit team of former AI infrastructure builders from top companies
- Rapid career growth at one of the fastestmoving companies in a booming space
- Competitive salary equity
- 100% paid health dental and vision insurance
- Daily paid meals via DoorDash
- Flexible PTO 401k access
- Visa sponsorship available
Employment Type
Full Time
