ML Engineer/Researcher

PlayAI; Palo Alto (CA); On-site; USD 100,000 - 160,000; Full time

Job summary

An innovative firm at the forefront of generative voice technology is seeking a passionate ML Engineer/Researcher to join their dynamic team. This role offers the chance to design large-scale data pipelines and enhance cutting-edge voice LLM architectures. As a founding engineer, you'll be instrumental in shaping the future of Conversational AI, working in an autonomous environment with competitive compensation and flexible hours. If you're eager to push the boundaries of AI and make a significant impact, this opportunity is perfect for you!

Benefits

Health, dental, and vision insurance

Commuter benefits

Flexible PTO + holidays

Autonomous working environment

Competitive compensation

Challenging problems to solve

Flexible work hours

Qualifications

• Experience in deep learning and distributed training of LLMs.
• Familiarity with Speech Synthesis is a significant plus.
• Demonstrates a growth mindset and passion for solving challenging problems.

Responsibilities

• Designing and building large-scale data pipelines.
• Experimenting and improving Voice LLMs architectures.
• Enhancing inference infrastructure to reduce costs and latency.

Skills

Deep Learning

Python

Pytorch

C++

Generative Models

Transformers

Speech Synthesis

Reinforcement Learning from Human Feedback

Direct Preference Optimization

Education

Master's degree in a related technical field

Bachelor's degree from a top-tier university

Job description

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This range is provided by PlayAI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$100,000.00/yr - $160,000.00/yr

About Us

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.
• Experience with Direct Preference Optimization (DPO) and/or Reinforcement Learning from Human Feedback (RLHF) 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.

Seniority level

• Seniority level

  Internship

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Technology, Information and Internet

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