Product engineer (full-stack) San Francisco CA -
On-Site W2 - Full Time
Salary range: $150k - $180k
We re looking for a Senior product Engineer to build AI-driven audio technology. Background in startups and a passion for end-to-end feature development scalable data pipelines and AI-driven systems.
A connection to audio whether through music voice AI or sound engineering is a huge plus.
Strong AI literacy and the ability to translate customer needs into technical solutions are key.
Role and responsibilities As a Product Engineer at AI youll build cutting-edge tools that help our users make
sense of the audio data theyll use to train their models working closely with researchers to
consistently iterate on how to best collect our data. You will:
Ship full-stack features that thousands of users will interact with daily.
Build scalable systems to create core data processing pipelines that derive actionable
insights from terabytes of audio data every day.
Build deploy and evaluate LLM and DSP based solutions to increase our customers
understanding of nuanced features across our datasets.
Iterate rapidly on our research hypotheses by working closely with researchers and our
Operations team to deploy interfaces to collect new data.
Stay up-to-date with cutting edge technologies and frameworks to apply to our current
product offering across software engineering data engineering machine learning and
signal processing.
Requirements 4 years of product-focused full-stack engineering experience.
Strong full-stack web development fundamentals with experience in creating rapid
prototypes as well as building solutions that scaled to many users.
A proven track record of delivering engineering solutions that contributed value to
customers.
Experience working in a high-pace environment that constant progress was enabled by
detail-oriented .
Emphasis on building intuitive products and experiences that resonates with users and
has built highly polished production-grade products.
AI/ML or audio experience is not required but should be excited to learn.
Bonus points if you have
Educational or professional experience with digital signal processing and a deep
understanding of speech.
Experience building and deploying ML models in a production environment.
Led (managed or tech-led) engineering teams in high-growth environments.
Some technologies we work with
TypeScript TailwindCSS tRPC PostgreSQL AWS
WebRTC FFmpeg.
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,WEBRTC,TYPESCRIPT,,POSTGRESQL,AWS,FFMPEG