Thinking Machines Lab · 1 month ago
Research, Audio Expertise
San Francisco
Full-time
Onsite
Mid, Senior Level
$350K/yr - $475K/yrThinking Machines Lab's mission is to empower humanity through advancing collaborative general intelligence. They are looking for researchers to advance the frontier of audio capabilities, exploring how audio models enable more natural communication and collaboration.
Artificial Intelligence (AI)Foundational AIGenerative AIInformation TechnologyProduct ResearchSoftware
Responsibilities
Own research projects on audio training, low-latency inference and conversational responsiveness
Design and train large-scale models that natively support audio input and output
Investigate scaling behavior such as how data, model size, and compute affect capability and efficiency
Build and maintain audio data pipelines, including preprocessing, filtering, segmentation, and alignment for training and evaluation
Collaborate with data and infrastructure teams to scale audio training efficiently across distributed systems
Publish and present research that moves the entire community forward
Share code, datasets, and insights that accelerate progress across industry and academia
Qualification
Required
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
A strong grasp of probability, statistics, and ML fundamentals. You can look at experimental data and distinguish between real effects, noise, and bugs
Experience with real-time inference, streaming architectures, or optimization for low latency
Prior experience training or evaluating large-scale audio or multimodal models
Publications, releases, or open-source projects related to speech, audio, voice, or similar areas
Demonstrated experience in audio or speech modeling, including ASR, TTS, or self-supervised audio learning
PhD in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline with strong theoretical and empirical grounding; or, equivalent industry research experience
Benefits
Generous health, dental, and vision benefits
Unlimited PTO
Paid parental leave
Relocation support as needed
Company
Thinking Machines Lab
Thinking Machines Lab is an AI research and product company that aims to increase understanding and customization of AI systems.
Founded in 2025
11-50 employees
H1B Sponsorship
Thinking Machines Lab has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (9)
Funding
Current Stage
Early StageTotal Funding
$2.01BKey Investors
Andreessen HorowitzMinistry of Economy, Culture and Innovation
2025-06-20Seed· $2B
2025-05-05Grant· $9.98M
Leadership Team
Mira Murati
Co-Founder and Chief Executive Officer
Recent News
Morningstar.com
2026-01-11
Business Insider
2026-01-06
Crunchbase News
2026-01-02
Company data provided by crunchbase