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Backend Software Engineer, AI Data Processing

Jack United State
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AI Summary

Seeking a Backend Software Engineer with 2+ years of experience to build and scale data processing pipelines for audio data. You will design infrastructure, develop backend systems, and collaborate with researchers in a fast-growing AI startup environment. Key requirements include Python proficiency, experience with scalable systems, and a strong CS background.

Key Highlights
Build scalable backend systems and data processing pipelines for audio data.
Design infrastructure to support rapid customer demand growth.
Collaborate with researchers and work across multiple product areas.
Key Responsibilities
Building scalable backend systems and data processing pipelines that connect and power all three products.
Designing infrastructure that helps the platform scale efficiently as customer demand grows rapidly.
Working across the speaker platform, lab and researcher tools, and internal tooling.
Collaborating closely with researchers to iterate on data collection infrastructure.
Architecting and maintaining APIs and services that thousands of users interact with daily.
Technical Skills Required
Python TypeScript Backend Engineering
Benefits & Perks
$175,000–$225,000 base salary
Competitive early-stage equity
100% health coverage
Unlimited PTO
Daily meals
Barry's classes
Nice to Have
Node.js
PostgreSQL
AWS
audio domain experience
ML domain experience
data-infrastructure domain experience

Job Description


We are looking for a Backend Software Engineer with 2+ years of experience to build the pipelines, systems, and infrastructure that power how leading AI labs process and make sense of audio data.

You'll join a tight-knit engineering team at one of the fastest-growing AI startups — founded in 2024 by former Scale AI engineers and operators, backed by NVIDIA, Meritech, Amplify Partners, First Round Capital and Y Combinator, and already serving most FAANG companies and frontier AI labs as customers. The team is ~50-66 people in San Francisco, and this role works across multiple products on a platform that processes terabytes of speech data every day.

What You'll Be Doing

  • Building scalable backend systems and data processing pipelines that connect and power all three products
  • Designing infrastructure that helps the platform scale efficiently as customer demand grows rapidly
  • Working across the speaker platform, lab and researcher tools, and internal tooling
  • Collaborating closely with researchers to iterate on data collection infrastructure
  • Architecting and maintaining APIs and services that thousands of users interact with daily

What We're Looking For

  • 2-6 years of backend engineering experience as a hands-on individual contributor
  • Proficiency in Python and TypeScript — Python is central to the technical interview
  • Experience at high-growth, VC-backed startups (not exclusively large or legacy companies)
  • A strong CS degree from a top ~50 US program, or equivalent (e.g. University of Waterloo)
  • Demonstrated ownership of zero-to-one projects with measurable business impact
  • Experience building scalable systems and data processing pipelines in production
  • Familiarity with Node.js, PostgreSQL, or AWS; audio, ML, or data-infrastructure domain experience is a plus

Tech stack

Python, TypeScript, Node.js, tRPC, PostgreSQL, AWS, Trigger.dev, WebRTC, FFmpeg

Compensation And Logistics

  • $175,000–$225,000 base depending on experience, plus competitive early-stage equity
  • 100% health coverage on most plans, unlimited PTO, daily meals, and Barry's classes
  • Five days a week in-office in San Francisco, CA
  • Open to visa transfers, including OPT and H1B
  • Four-step interview process: recruiter screen, hiring manager screen, technical/design interview, on-site

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