Applied Audio ML Engineer
$150k/y-$260k/y
David AIa day ago
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OnsiteFull-timeSenior
Summary
David AI is seeking an Applied Audio ML Engineer to join their team in San Francisco, CA. The role involves building cutting-edge speech and audio models, production inference systems, and resilient pipelines.
About the Role
As an Applied ML Engineer at David AI, you will research, design, and implement solutions using advanced signal processing algorithms and ML models for speech and audio. You will develop production-grade inference algorithms, pipelines, and APIs, collaborate with the Operations team to gather training datasets, and architect systems for resilient inference and evaluations.
About You
Required:
- 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.
Preferred:
- 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.
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.
David AI
We're an audio data research company. Visit our website to learn more: https://www.withdavid.ai/
San Francisco, CA