# Research, Audio Expertise at Thinking Machines

- Company: Thinking Machines
- What the company does: Connectionism: Research Blog by Thinking Machines Lab. Backed by a16z, Accel and GV.
- Company website: https://thinkingmachines.ai/
- Type: Startups (AI role)
- Level: Mid level
- Location: San Francisco
- Work setup: Remote
- Pay: $350K to $475K base salary per year (USD)
- Posted: 2026-08-04
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/thinkingmachines/24f4c1e0-12bc-4f6c-ae7a-637ecd6bd56c
- Page: https://www.1752.vc/careers/jobs/thinking-machines-research-audio-expertise/

## About the role

Thinking Machines builds multimodal-first. For us, there is no separate multimodal work. It’s at the core of everything we do, from the scientific goals we’re setting to the infrastructure we’re building. We’re looking for researchers to advance the frontier of audio capabilities. You’ll explore how audio models enable more natural and efficient communication/collaboration, preserving more information and capturing user intent.

## What they're looking for

- Ability to design, run, and analyze experiments thoughtfully, with demonstrated research judgment and empirical rigor
- Understanding of machine learning fundamentals, large-scale training, and distributed compute environments
- Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX). Comfortable with debugging distributed training and writing code that scales
- Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding
- Clarity in communication, an ability to explain complex technical concepts in writing
- Preferred qualifications — we encourage you to apply even if you don’t meet all preferred qualifications, but at least some:

Tags: Research