ML Engineer/Researcher

Voice AI company specializing in building conversational voice models for cloning voices and generating real-time speech.
$100,000 - $160,000
Machine Learning
Entry-Level Software Engineer
In-Person
11 - 50 Employees
AI

Description For ML Engineer/Researcher

PlayAI is at the forefront of generative voice and conversational LLMs, focusing on Speech Synthesis and Voice Cloning models to build state-of-the-art conversational AI products. Our mission is to create hyperrealistic conversational voice agents and voice AI infrastructure that enables businesses, developers, and creators to build human-like automated experiences.

As a Junior Machine Learning Engineer/Researcher, you'll join a rapidly growing startup that has raised $20M+ in seed funding and serves 1M monthly active users with 250K developers. You'll work on cutting-edge AI technology, helping shape the future of human-computer interaction through voice AI.

Your role will involve designing large-scale data pipelines, improving Voice LLM architectures for better quality and performance, optimizing inference infrastructure, and scaling distributed training systems. This is an opportunity to work on challenging problems while making a significant impact in the conversational AI space.

We're looking for candidates with deep learning experience, particularly in LLMs, Generative Models, and Transformers. Knowledge of PyTorch, Python, and C++ is required, while experience with Speech Synthesis, DPO, or RLHF is a plus. Recent graduates or current students with relevant experience are welcome to apply.

Join us in revolutionizing how people interact with technology through voice AI. You'll work in an autonomous environment with competitive compensation, comprehensive benefits, and the chance to be a founding engineer in a company that's seeing 30% month-over-month revenue growth.

Last updated 16 hours ago

Responsibilities For ML Engineer/Researcher

  • Designing and building large-scale data pipelines
  • Experimenting and improving Voice LLMs architectures
  • Enhancing inference infrastructure
  • 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 or Bachelor's degree from top-tier university
  • Knowledge of LLMs, Generative Models, and Transformers
  • 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 + holidays
  • Flexible work hours
  • Competitive compensation
  • Autonomous working environment

Interested in this job?

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