🛠 Tech Stack

💼 About This Role

You'll advance the frontier of audio capabilities at Thinking Machines Lab, working on multimodal-first AI systems. You'll own research projects on audio training and low-latency inference, collaborating with world-class researchers and engineers. This role blends fundamental research with hands-on engineering.

🎯 What You'll Do

• Own research projects on audio training and conversational responsiveness.
• Design and train large-scale models supporting audio input and output.
• Build and maintain audio data pipelines for training and evaluation.
• Collaborate with data and infrastructure teams to scale audio training.

📋 Requirements

• Ability to design, run, and analyze experiments with empirical rigor.
• Proficiency in Python and familiarity with deep learning frameworks.
• Bachelor's degree in CS, ML, Physics, Math, or related discipline.
• Clarity in communicating complex technical concepts in writing.

✨ Nice to Have

• Experience with real-time inference or streaming architectures.
• Prior experience training or evaluating large-scale audio models.
• PhD in a relevant field or equivalent industry research experience.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• ❤️ Generous health, dental, and vision benefits
• 👶 Paid parental leave
• ✈️ Relocation support as needed

🚩 Heads Up

• Evergreen role: may not have immediate opening.
• Potential mismatched expectations: feedback may be delayed.