Senior ML Engineer/Researcher

Palo Alto, CA on site Until 8/22/2026 H-1B sponsor history First posted March 26, 2025 Last posted March 26, 2025
Job description

About Us:

PlayAI is at the forefront of generative voice and conversational LLMs. With our Speech Synthesis and Voice Cloning models, we are building the SOTA conversational AI products.

We are building a platform and infrastructure for Conversational AI Voice Agents so that every business, developer, or tinkerer can easily build talking human-like AI agents and use them to serve their customers; this will unlock massive value for the world and a lot of happiness for people using these delightful agents.

We joined YC last year in the YC W23 batch. Since then, we have raised $20m in seed funding and seen significant growth in users and revenue (20x the last two years).

What are we looking for?

We are in search of Full-time Machine Learning Engineers and Researchers who are passionate about solving challenging problems and inventing the future of how people interact with LLMs. By joining our team, you have the opportunity to be an early engineer and play a pivotal role in shaping the future of Conversational AI. If you're keen on pushing AI boundaries and making a significant impact, this role is for you.

Responsibilities:

  • Designing and building large-scale data pipelines.

  • Experimenting and improving our Voice LLMs architectures for better quality, expressiveness, and latency.

  • Scaling and optimizing LLM distributed training infrastructure.

Qualifications:

  • An autonomous and resourceful engineer with a proven track record in deep learning.

  • Demonstrates a growth mindset and a passion for solving challenging problems.

  • Possesses hands-on experience in deep learning and distributed training of LLMs, Generative Models, and Transformers.

  • Experience with Pytorch, Python, and C++.

  • Familiarity with Speech Synthesis is a significant plus.

What We Offer:

  • Challenging problems to solve.

  • Autonomous working environment

  • Competitive compensation and equity.

  • Flexible work hours

  • Health, dental, and vision insurance

  • Commuter benefits

  • Flexible PTO + holidays

Final offer amounts are determined by multiple factors, including experience, and may vary from the amounts listed above.

About this role

Summary

Design and build data pipelines, improve voice LLMs, optimize training infrastructure.

Job title

Senior ML Engineer/Researcher

Experience level

3+ years

Industry

software

Location requirements

Located in Palo Alto, CA; remote work not mentioned

Salary

Not specified

Visa sponsorship

H-1B sponsor history

Management role

No

Skills & keywords

Required skills

deep learningdistributed trainingLLMsgenerative modelstransformerspytorchpythonC++

Preferred skills

speech synthesis

Specializations

machine learningdeep learningLLMsgenerative modelstransformers
Locations

Structured locations inferred from the posting.

Palo Alto, CA, USA

On-site City