Job Details

Applied Machine Learning Engineer Audio & Speech

Applied Machine Learning Engineer Audio & Speech

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Success Matcher Recruitment, LLC provided pay range

This range is provided by Success Matcher Recruitment, LLC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$230,000.00/yr - $250,000.00/yr

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SeniorPeoplePartner | Connecting Top Talent with High-Growth Companies in theUS,UK&MENA | SuccessMatcher – Success StartsWiththeRightMatch

Who are we?

We're an early-stage, high-growth 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 high-quality audio datasets that fuel next-generation models.

In less than a year, we've secured partnerships with top AI labs and most of FAANG, raised $5M+ from leading investors, and built a team of ambitious, humble, and mission-driven builders. Now were hiring applied ML engineers to help us unlock the full potential of audio AI.

What's 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 real-world deployment

Work with a tight-knit team of former AI infrastructure builders from top companies

Rapid career growth at one of the fastest-moving companies in a booming space

Competitive salary + equity

100% paid health, dental, and vision insurance

Daily paid meals via DoorDash

Flexible PTO + 401k access

What will you do?

• Research and develop advanced ML models for speech and audio use cases
• Translate cutting-edge research into high-quality production Python code
• Own the full ML pipeline from POC to deployment in cloud environments (AWS or GCP)
• Build APIs and inference systems that surface insights from high-quality data
• Work cross-functionally with Operations to source, shape, and evaluate training datasets
• Architect resilient infrastructure for model training, evaluation, and production inference
• Help define the company's ML roadmap and lead investments in research and tooling

What will you need?

• 5+ years of experience in machine learning, with at least 2 years in DSP/audio ML
• Demonstrated experience shipping ML systems end-to-end (not just research)
• Strong Python skills and proficiency in deep learning frameworks like PyTorch
• Expertise in cloud environments (AWS or GCP) for training and deploying models
• Ability to think holistically about model performance, UX, and business value
• Experience in speech or audio research and/or production
• PhD or Masters in Computer Science, ML, or a related field
• Leading ML teams and driving technical direction
• Experience building classical and ML-based audio signal processing systems

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  Information Services, Software Development, and IT System Custom Software Development

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Inferred from the description for this job

Medical insurance

Vision insurance

401(k)

Paid paternity leave

Paid maternity leave

Child care support

Pension plan

Student loan assistance

Disability insurance

Tuition assistance

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