ML Engineer/Researcher

Building platform and infrastructure for Conversational AI Voice Agents, focusing on Speech Synthesis and Voice Cloning models.
$100,000 - $160,000
Machine Learning
Entry-Level Software Engineer
In-Person
11 - 50 Employees
AI

Description For ML Engineer/Researcher

PlayHT is revolutionizing the field of generative voice and conversational LLMs, specializing in Speech Synthesis and Voice Cloning models. As a YC W23 batch company that has secured $20m in seed funding and achieved 20x growth over two years, we're building a comprehensive platform for Conversational AI Voice Agents.

Our mission is to democratize Voice AI technology, making it accessible and useful for businesses, developers, and innovators worldwide. We're creating infrastructure that enables anyone to build human-like AI agents for customer service and interaction.

As a founding engineer in our team, you'll be at the forefront of shaping the future of Conversational AI. You'll work on cutting-edge problems in voice technology, LLM architectures, and distributed systems. This role offers the unique opportunity to make a significant impact in a rapidly growing startup that's pushing the boundaries of AI technology.

We offer a dynamic, autonomous working environment where you'll tackle challenging problems while working with state-of-the-art technology. Our comprehensive benefits package includes competitive compensation, flexible work hours, and full health coverage. Join us in building the future of voice AI technology and be part of a team that's transforming how people interact with AI.

The role combines technical expertise with innovation, requiring both practical engineering skills and research capabilities. You'll be working with modern tools and technologies while having the freedom to experiment and improve our core technology stack.

Last updated 21 days ago

Responsibilities For ML Engineer/Researcher

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

Requirements For ML Engineer/Researcher

Python
  • Previous academic or work experience in deep learning
  • Experience with Pytorch, Python, and C++
  • Master's degree in related technical field or Bachelor's degree from top-tier university
  • Academic or work experience in deep learning and distributed training of LLMs
  • Demonstrates growth mindset and passion for solving challenging problems

Benefits For ML Engineer/Researcher

Medical Insurance
Dental Insurance
Vision Insurance
Commuter Benefits
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Commuter benefits
  • Flexible PTO
  • Competitive compensation
  • Flexible work hours

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