Play AI is hiring a

Software Engineer (ML infra)

Palo Alto, United States
Full-Time

About Us:

PlayHT 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 $8m 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 MLOps Engineers 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 a founding 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 inference backend for our LLMs.

  • Take LLMs from research to production-ready and scalable APIs.

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

  • Enhancing inference infrastructure to reduce costs and latency.

Qualifications:

  • An autonomous and resourceful engineer with a proven track record in building and deploying large-scale production APIs.

  • Extensive experience as an MLOps, Platform, or Infra Engineer or similar roles.

  • Strong background in Backend Software Engineering and building scalable APIs.

  • Proficiency in cloud computing platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).

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

  • Experience with Python and C++.

  • Familiarity with LLM deployments is a significant plus.

What We Offer:

  • The chance 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

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

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