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Research, Audio Expertise

Thinking MachinesSan FranciscoResearch
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Salary
$350K - $475K USD
Job type
Full-time
Work mode
Remote
Posted
4 Aug 2026
Status
Open · checked 7d ago

About this role

Role Overview

Thinking Machines is looking for a Research professional with audio expertise to join its team in San Francisco with remote flexibility available. This position centers on advancing frontier audio capabilities to enable more natural and efficient human-AI communication and collaboration. It is an ideal fit for individuals who want to combine fundamental research with hands-on engineering to shape the future of multimodal artificial intelligence.

Key Responsibilities

Own and drive research projects focusing on audio training, low-latency inference, and conversational responsiveness.
Design and train large-scale models featuring native audio input and output capabilities.
Investigate how scaling factors such as compute, model size, and data impact capability and efficiency.
Build, maintain, and manage audio data pipelines encompassing preprocessing, filtering, segmentation, and alignment.
Partner closely with infrastructure and data teams to scale distributed audio training efficiently.
Share insights, code, and datasets by publishing and presenting research to advance both industry and academic communities.

Requirements

Demonstrated research judgment and empirical rigor when designing, executing, and analyzing experiments.
Solid understanding of distributed compute environments, machine learning fundamentals, and large-scale training.
Proficiency in Python alongside familiarity with at least one deep learning framework like PyTorch or TensorFlow.
Ability to write scalable code and debug distributed training processes.
Clear communication skills with the capability to explain complex technical concepts in writing.
A Bachelor's degree or equivalent experience in Computer Science, Machine Learning, Mathematics, Physics, or a related field.

Nice to Have

Strong foundation in statistics, probability, and machine learning principles to differentiate between real effects, bugs, and noise.
Background in streaming architectures, real-time inference, or low-latency optimization.
Prior hands-on experience evaluating or training large-scale audio and multimodal models.
Relevant publications, open-source projects, or releases focused on audio, speech, or voice.
Practical experience in speech or audio modeling, including ASR, TTS, or self-supervised audio learning.
A PhD or equivalent industry research experience in a quantitative discipline.

Skills and Tools

Python
PyTorch
TensorFlow
Distributed compute environments
Audio data pipelines

Salary and Benefits

Expected annual salary range of $350,000 to $475,000 USD, determined by background, skills, and experience.
Comprehensive health, dental, and vision benefits.
Unlimited paid time off (PTO).
Paid parental leave.
Relocation support provided as needed.
Visa sponsorship available for qualifying candidates.

About the Company

Thinking Machines focuses on building artificial intelligence designed to extend human will and judgment. The organization trains frontier models using Inkling, creates tools like Tinker for personalized model creation, and designs interfaces that improve human-AI communication. Embracing a multimodal-first philosophy, the company integrates multimodal work across all scientific goals and infrastructure development.

How to Apply

Interested candidates should submit their application directly through the official Thinking Machines careers page.

Skills and tech stack

PythonPyTorchTensorFlow

Questions candidates ask

What is the location of the Research, Audio Expertise role?

The position is based in San Francisco, California, with remote flexibility available.

What is the salary range for this position?

The expected annual salary ranges from $350,000 to $475,000 USD, depending on background, skills, and experience.

Does Thinking Machines offer visa sponsorship?

Yes, Thinking Machines sponsors visas for qualified candidates selected for the role.

What benefits are included with employment?

Benefits include generous health, dental, and vision coverage, unlimited paid time off, paid parental leave, and relocation support if needed.

What technical skills are required?

Candidates must be proficient in Python, familiar with deep learning frameworks such as PyTorch or TensorFlow, and experienced with distributed compute environments and large-scale training.

Ready to apply?

The application is on the official Thinking Machines careers page.

Apply on company site