Senior ML Engineer/Researcher

Building platform and infrastructure for Conversational AI Voice Agents, focusing on generative voice and conversational LLMs.
$180,000 - $300,000
Machine Learning
Senior Software Engineer
In-Person
11 - 50 Employees
3+ years of experience
AI

Description For Senior ML Engineer/Researcher

PlayHT is revolutionizing the field of Voice AI and conversational LLMs, focusing on making these technologies accessible to everyone. As a YC W23 batch company that has raised $20M in seed funding and experienced 20x growth over two years, we're at an exciting growth stage.

We're building cutting-edge Speech Synthesis and Voice Cloning models, creating a platform that enables businesses, developers, and enthusiasts to create human-like AI agents. Our goal is to make Voice AI technology accessible and valuable for global implementation.

As a Senior ML Engineer/Researcher, you'll be joining as a founding engineer, working on challenging problems at the intersection of LLMs and voice technology. You'll be instrumental in shaping the future of conversational AI, working with state-of-the-art technologies and architectures.

The role offers an autonomous working environment where you'll be handling complex technical challenges, from optimizing large-scale data pipelines to improving LLM architectures. You'll be working with cutting-edge technologies in deep learning, particularly in voice synthesis and LLM training.

We offer a competitive package including equity, comprehensive health benefits, and flexible working arrangements. This is an opportunity to be part of a rapidly growing startup that's already showing significant market traction and technological innovation in the Voice AI space.

Join us if you're passionate about pushing the boundaries of AI technology and want to be part of a team that's creating the future of human-computer interaction.

Last updated 19 days ago

Responsibilities For Senior ML Engineer/Researcher

  • Designing and building large-scale data pipelines
  • Experimenting and improving our Voice LLMs architectures for better quality, expressiveness, and latency
  • Enhancing inference infrastructure to reduce costs and latency
  • Scaling and optimizing LLM distributed training infrastructure

Requirements For Senior ML Engineer/Researcher

Python
  • An autonomous and resourceful engineer with a proven track record in deep learning
  • Demonstrates a growth mindset and a passion for solving challenging problems
  • 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

Benefits For Senior ML Engineer/Researcher

Medical Insurance
Dental Insurance
Vision Insurance
Commuter Benefits
  • Competitive compensation and equity
  • Flexible work hours
  • Health, dental, and vision insurance
  • Commuter benefits
  • Flexible PTO + holidays

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