Machine Learning Engineer/Researcher

PlayAI is at the forefront of generative voice and conversational LLMs, building SOTA conversational AI products.
$180,000 - $300,000
Machine Learning
Senior Software Engineer
Hybrid
35 Employees
3+ years of experience
AI

Description For Machine Learning Engineer/Researcher

PlayAI is seeking Full-time Machine Learning Engineers and Researchers passionate about solving challenging problems and inventing the future of how people interact with LLMs. As a founding engineer, you'll play a pivotal role in shaping the future of Conversational AI.

Responsibilities:

  • Design and build large-scale data pipelines
  • Experiment and improve Voice LLMs architectures for better quality, expressiveness, and latency
  • Enhance inference infrastructure to reduce costs and latency
  • Scale and optimize LLM distributed training infrastructure

Qualifications:

  • Proven track record in deep learning
  • Growth mindset and 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

We offer:

  • Opportunity to be a founding engineer in a rapidly growing startup
  • Challenging problems to solve
  • Autonomous working environment
  • Competitive compensation and equity
  • Flexible work hours
  • Health, dental, and vision insurance
  • Commuter benefits
  • Flexible PTO + holidays

PlayHT joined YC in the W23 batch, raised $20m in seed funding, and has seen 20x growth in users and revenue over the last two years. We're building a platform and infrastructure for Conversational AI Voice Agents to enable businesses, developers, and tinkerers to easily create human-like AI agents for customer service.

Last updated 2 months ago

Responsibilities For Machine Learning Engineer/Researcher

  • Design and build large-scale data pipelines
  • Experiment and improve Voice LLMs architectures for better quality, expressiveness, and latency
  • Enhance inference infrastructure to reduce costs and latency
  • Scale and optimize LLM distributed training infrastructure

Requirements For Machine Learning Engineer/Researcher

Python
  • Proven track record in deep learning
  • Growth mindset and 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 (preferred)

Benefits For Machine Learning Engineer/Researcher

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

Interested in this job?

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