Applied Audio ML Engineer Job at David AI in San Francisco

Join to apply for the Applied Audio ML Engineer role at David AI

Join to apply for the Applied Audio ML Engineer role at David AI

This range is provided by David AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$150,000.00/yr - $260,000.00/yr

About Our Machine Learning Team

Our Machine Learning team sits at the intersection of cutting-edge research and production systems, transforming raw audio into high-signal data for leading AI labs and enterprises. We own the full ML lifecycle - from researching novel speech processing algorithms to deploying models processing terabytes of audio daily.

About This Role

As an Applied ML Engineer at David AI you'll build cutting-edge speech and audio models, production inference systems and resilient pipelines that showcase what high-quality data can really do.

In this role, you will

• Research, design, and implement solutions using advanced signal processing. algorithms and bleeding edge ML models with application to speech and audio.
• Develop production-grade inference algorithms, pipelines, and APIs with cross-functional teams that unlock key insights into our data for our customers.
• Collaborating with our Operations team to gather useful training and evaluation datasets to improve the quality of our models.
• Architect systems that enable resilient, durable inference and evaluations.
  
  

Your background looks like

• 5+ years of professional audio ML experience, including DSP and ML audio algorithm development.
• End-to-end ownership of ML pipelines, from proof-of-concept to production deployment.
• Strong coding skills in Python and proficiency with deep learning frameworks such as PyTorch.
• Ability to translate research papers and ideas into high-quality, production-ready code.
• Experience deploying ML systems for production inference with cloud technologies.
• Track record of setting ML roadmaps, influencing technical direction, and prioritizing research and infrastructure investments.
• Ability to assess model quality in the context of user experience and business value.
  
  

Bonus points if you have

• PhD or Masters in Computer Science or a related field.
• Experience training generative AI models.
• Expertise in audio signal processing both classical and machine learning techniques.
  
  

Compensation And Benefits

• Rapid career growth at one of the fastest growing Series A companies, within a new and booming industry.
• Competitive salary and equity package.
• Flexible PTO policy.
• Top-notch health, dental, and vision coverage with 100% company reimbursement for most plans.
• Paid lunch and dinner in the office, every day through DoorDash.
• 401k access.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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