Research, Audio Expertise
San Francisco$350k - $475kfull-timePosted 11mo ago
About the role
Researcher role focused on advancing audio capabilities within a multimodal AI research environment. Blend of fundamental research and practical engineering to design, train, and scale audio-enabled models, with collaboration across pre-training, post-training, and product teams.
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.
Qualifications
- 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.
Skills
Required:Experiment design and analysisMachine learning fundamentalsPythonDeep learning frameworksCommunications
Benefits
- generous health, dental, and vision benefits
- unlimited PTO
- paid parental leave
- relocation support as needed
Last updated Jul 8, 2026. Interested? Apply on the company site.
About Thinking Machines Lab
Connectionism: Research Blog by Thinking Machines Lab
Thinking Machines Lab is an artificial intelligence research and product company. We’re building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.
AIartificial intelligencebessemer-ai-infrastructure-2026deep learningliquid-ai-recruiting-targetmachine learningproductreinforcement-learning-platforms
More open roles at Thinking Machines Lab
- IT Engineer2mo agoNew York, NY · Technical
- Operations Analyst, Safety2mo agoSan Francisco, CA · Technical
- Endpoint Engineer, IT2mo agoHybrid (San Francisco, CA and New York, NY) · Technical
- Software Engineer, Full Stack, Tinker3mo agoSan Francisco, CA · Core Engineering, Product, and Infrastructure
- Recruiting Coordinator, Research3mo agoHybrid (San Francisco, CA) · Operations