Research Audio Expertise
54 minutes agoSalary: 350K - 475KSan Francisco, USAHybridFull TimeResearchJobs by Thinking Machines Lab
Thinking Machines LabVisit Thinking Machines Lab website
Artificial-intelligence research and product company building customizable AI systems, including the Tinker training API and Inkling open-weight models.
Distributed
Funding history
About Thinking Machines Lab
Thinking Machines Lab develops AI products that let researchers and developers fine-tune and use models, while also releasing open-weight multimodal models.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own research on audio training, low-latency inference, and conversational responsiveness. You will design and train large-scale audio models, investigate scaling behavior, build audio data pipelines, collaborate on distributed training, and publish research, code, datasets, and insights.
Requirements
- Ability to design, run, and analyze experiments with empirical rigor
- Understanding of machine learning fundamentals, large-scale training, and distributed compute environments
- Proficiency in Python
- Familiarity with PyTorch, TensorFlow, or JAX
- Ability to debug distributed training and write scalable code
- Ability to explain complex technical concepts in writing
Responsibilities
- Own research projects on audio training, low-latency inference, and conversational responsiveness
- Design and train large-scale models supporting audio input and output
- Investigate the effects of data, model size, and compute on capability and efficiency
- Build and maintain audio data pipelines for training and evaluation
- Collaborate to scale audio training across distributed systems
- Publish and present research
- Share code, datasets, and insights
Benefits
- Health, dental, and vision benefits
- Unlimited PTO
- Paid parental leave
- Relocation support