Responsibilities
- 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
- 2+ 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 execution.
- 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 you should be excited to learn.
Nice-to-haves
- 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.
Technologies
Next.js, TypeScript, TailwindCSS, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg.
Benefits
- Unlimited PTO.
- Top-notch health, dental, and vision coverage with 100% coverage for most plans.
- FSA & HSA access.
- 401k access.
- Meals 2x daily through DoorDash + snacks and beverages available at the office.
- Unlimited company-sponsored Barry’s classes.