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Senior Fullstack Engineer - Audio AI & Data Processing

sinclair talent solutions โ€ข United State
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AI Summary

Lead full-stack development with 60-70% backend focus, process terabytes of audio data, collaborate with ML teams, mentor engineers at a high-growth audio AI startup.

Key Highlights
Lead full-stack feature development with 60-70% backend focus
Process and scale systems for terabytes of audio data for AI training
Collaborate with ML research team on data collection and model training pipelines
Key Responsibilities
Lead full-stack feature development with a 60-70% backend focus, shipping daily
Build and scale systems that process terabytes of audio data for AI training
Deploy and evaluate LLM and DSP-based solutions for customer data understanding
Mentor engineers and set technical standards as the team grows
Technical Skills Required
TypeScript Python Audio Data Processing
Benefits & Perks
Visa sponsorship available for H1B, Canadian, Australian, and Singaporean candidates
5 days on-site in San Francisco

Job Description


Senior Fullstack Engineer โ€” SF (On-site)

Sinclair Talent Solutions is working with a Series B audio AI company founded by former Scale AI engineers, backed by Meritech, NVIDIA, First Round, and Amplify Partners. They've brought on most FAANG companies and major AI labs as customers in under a year. The mission: bring an R&D approach to audio data with the same rigor AI labs bring to models.


What you'll do:

  • Lead full-stack feature development with a 60-70% backend focus, shipping daily
  • Build and scale systems that process terabytes of audio data for AI training
  • Collaborate directly with the ML research team on data collection and model training pipelines
  • Deploy and evaluate LLM and DSP-based solutions for customer data understanding
  • Mentor engineers and set technical standards as the team grows


What they're looking for:

  • 4+ years of backend-leaning full-stack engineering in production
  • Strong TypeScript and Python
  • Experience with AI/ML or audio data
  • Background at a high-growth, VC-backed startup
  • BS in Computer Science or related field
  • Staff Engineers welcome with 6+ years and technical leadership experience


Visa sponsorship available for H1B, Canadian, Australian, and Singaporean candidates.


5 days on-site in San Francisco.


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