Research, Audio Expertise

Thinking Machines Lab
San Francisco
Workplace: HybridFull timeUSD 350,000 - 475,000 annuallyFunction: Research & Scientific (R&D)Education: bachelorsSkills: ["Research judgment","Empirical rigor","Communication"]

Advance audio AI capabilities by owning research on audio training, low-latency inference, and conversational responsiveness. Design and train large-scale models for native audio input/output, study scaling behavior across data, model size, and compute, and build robust audio data pipelines. Collaborate with research, data, and infrastructure teams to scale training on distributed systems, and publish results through code, datasets, and technical presentations.

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Thinking Machines Lab
Thinking Machines Lab
20 hours ago

Research, Audio Expertise

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Last checked: 5 hours agoStatus: Live

Job Summary

Advance audio AI capabilities by owning research on audio training, low-latency inference, and conversational responsiveness. Design and train large-scale models for native audio input/output, study scaling behavior across data, model size, and compute, and build robust audio data pipelines. Collaborate with research, data, and infrastructure teams to scale training on distributed systems, and publish results through code, datasets, and technical presentations.
Location: San Francisco
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key 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, including how data, model size, and compute affect capability and efficiency.
  • •Build and maintain audio data pipelines (preprocessing, filtering, segmentation, and alignment) for training and evaluation.
  • •Publish and present research, sharing code, datasets, and insights to advance the community.

Pay and Benefits

Salary: USD 350,000 - 475,000 annually
Perks:Health InsuranceDentalVisionPaid LeavePaid ParentalRelocation

Key Requirements

  • •Design, run, and analyze experiments with research judgment and empirical rigor.
  • •Understand machine learning fundamentals, large-scale training, and distributed compute environments.
  • •Be proficient in Python and familiar with at least one deep learning framework (PyTorch, TensorFlow, or JAX), including debugging distributed training.
  • •Have a Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Physics, Mathematics, or a related discipline.
  • •Communicate clearly and explain complex technical concepts in writing.
Experience:AudioSpeechMultimodalReal-time inferenceDistributed training
Education:Bachelor's
Skills:Research judgmentEmpirical rigorCommunication
Tech Stack:PythonPyTorchTensorFlowJAX

Eligibility

Work Authorization:Sponsorship available.

Company Brief

Thinking Machines Lab
Develops enterprise AI solutions, custom large language models, and ML platforms to help organizations deploy intelligent applications. Services include data engineering, model development, and AI consulting for scale and production readiness.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Growth Stage Startup
Headquarters: Mumbai, India
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