Applied Audio ML Engineer sf, ca
Company: ESRhealthcare
Location: San Francisco
Posted on: February 13, 2026
|
|
|
Job Description:
Job Description Job Description Applied Audio ML Engineer
Location San Francisco Employment Type Full time Location Type
On-site Department Engineering Compensation $190K – $260K Offers
Equity 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.
Keywords: ESRhealthcare, Fremont , Applied Audio ML Engineer sf, ca, Engineering , San Francisco, California
