Building platform and infrastructure for Conversational AI Voice Agents using Speech Synthesis and Voice Cloning models.

PlayHT is a cutting-edge startup focused on making Voice AI accessible and useful to all through their Speech Synthesis and Voice Cloning models. As a YC W23 batch company that has raised $21m in seed funding and experienced 20x growth in the last two years, they're building a revolutionary platform for Conversational AI Voice Agents.

The Software Engineer Intern role is perfect for candidates passionate about AI technology and prototype development. You'll work directly with LLM technology and full-stack web development using Node.js and React. The position offers a unique opportunity to contribute to products with real-world impact in a fast-paced, creative environment.

The ideal candidate should be actively engaged in AI tech, experienced in building prototypes with LLM technology, and eager to join a creative team. The role demands attention to detail, quick iteration capabilities, and strong communication skills. You'll be working in a team-oriented culture that values communication, collaboration, and innovation.

The interview process includes a project demonstration to showcase your technical skills and ability to deliver under tight timelines, followed by a soft skills evaluation. This paid internship offers excellent growth opportunities, especially for students looking to kickstart their careers in AI development.

Join PlayHT to be part of a team that's transforming how businesses and developers interact with conversational AI, while gaining invaluable experience in cutting-edge AI technologies and full-stack development.

Software Engineering Internship at PlayHT, building conversational AI voice agents using LLM technology and full-stack development.

Software Engineer Intern

Our mission is to make Voice AI accessible and useful to all.

PlayAI 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 $20m 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 Junior Machine Learning Engineers and Researchers 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 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.

**Qualifications:**
- Previous academic or work experience in deep learning.
- Demonstrates a growth mindset and a passion for solving challenging problems.
- Possesses academic or previous work 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.
- Master's degree in a related technical field or Bachelor's degree from a top-tier university with relevant work experience (internships, full-time roles, or equivalent). Recent graduates and current students are encouraged to apply.

**What We Offer:**
- The chance to be a founding engineer in a rapidly growing startup.
- Challenging problems to solve.
- Autonomous working environment
- Competitive compensation
- 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.*

Junior Machine Learning Engineer/Researcher position at PlayHT, focusing on generative voice and conversational AI.

Junior Machine Learning Engineer/Researcher

PlayHT is a Voice AI company specializing in building conversational voice models capable of cloning any voice or accent and generating speech in real-time.

PlayAI is at the forefront of generative voice and conversational LLMs. With our Speech Synthesis and Voice Cloning models, we are building 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 $20m in seed funding and seen significant growth in users and revenue (20x the last two years).

**What Are We Looking For?**

We believe that credentials, years of experience, and familiarity with various tech stacks pale in comparison to a deep, internal drive to create delightful products. If you don't (yet) know how the app router in Next.js works - that's fine. But if you're okay leaving a small UI bug in production over a weekend - please don't apply.

Our non-negotiable core values are:

- **Extreme passion for building excellent products.** Ideally you've built impressive stuff in your free time as well.
- **Capacity to ship end-to-end features quickly:** we jump at the opportunity to take charge of a core feature and build it out in a week
- **Ability to thrive in ambiguity:** we trust each other to make high quality product and engineering decisions independently.
- **Desire/ability to work out of our HQ in Palo Alto**

**Qualifications:**

- 2-5 years of software development experience, we care a lot more about the passion and love of building than the exact number of years.
- Working experience building full stack applications with TypeScript and Nextjs.
- Ability to build new features and build infrastructure using React, CSS, Firebase, and Node.js.
- Working experience building directly for users.
- Self-directed and comfortable working autonomously.

**What We Offer:**

- The opportunity to redefine the medium of digital intelligence for humanity.
- Competitive compensation + equity.
- Comprehensive benefits package, including health, dental, and vision insurance; flexible PTO.

*Final offer amounts are determined by multiple factors, including but not limited to experience and skill level, and may vary from the amounts listed above.*

PlayHT is seeking a Full-Stack Engineer to join their team in building cutting-edge conversational AI voice agents.

Full-Stack Engineer

PlayAI is at the forefront of generative voice and conversational LLMs, building SOTA conversational AI products.

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.

PlayHT is hiring a Machine Learning Engineer/Researcher to work on generative voice and conversational LLMs, building SOTA AI products.

Machine Learning Engineer/Researcher

PlayHT is at the forefront of generative voice and conversational LLMs, building SOTA conversational AI products and a platform for Conversational AI Voice Agents.

PlayHT is at the forefront of generative voice and conversational LLMs, building state-of-the-art conversational AI products. We are creating a platform and infrastructure for Conversational AI Voice Agents, enabling businesses, developers, and tinkerers to easily build human-like AI agents for customer service. This innovation promises to unlock massive value and enhance user experiences worldwide.

As a Machine Learning Engineer/Researcher at PlayHT, you'll be at the cutting edge of AI technology. You'll work on designing large-scale data pipelines, improving Voice LLMs architectures, enhancing inference infrastructure, and optimizing LLM distributed training. This role offers the unique opportunity to be a founding engineer in a rapidly growing startup, tackling challenging problems that push the boundaries of AI.

We're looking for autonomous, resourceful engineers with a proven track record in deep learning. You should have hands-on experience with LLMs, Generative Models, and Transformers, as well as proficiency in PyTorch, Python, and C++. Familiarity with Speech Synthesis is a significant plus.

PlayHT offers a competitive package, including a salary range of $220K – $300K, equity (0.2% – 1.5%), and a bonus of $33K – $45K. We provide comprehensive benefits, including health, dental, and vision insurance, commuter benefits, and flexible PTO. Our work environment is autonomous with flexible hours, perfect for those who thrive on independence and innovation.

Join us in shaping the future of Conversational AI. If you're passionate about solving complex problems and want to make a significant impact in the field of AI, this role at PlayHT is your chance to be at the forefront of this technological revolution.

Join PlayHT as a Machine Learning Engineer/Researcher to build cutting-edge conversational AI and voice technologies in San Francisco.

PlayHT Engineering Jobs

Building platform and infrastructure for Conversational AI Voice Agents using Speech Synthesis and Voice Cloning models.