AI Applied Research Lead

3 Months ago • 5 Years + • Research Development • $120,000 PA - $220,000 PA

Job Summary

Job Description

HappyRobot is seeking an AI Applied Research Lead to drive innovation in voice AI systems, focusing on Natural Language Understanding (NLU), speech synthesis, and voice interaction models. The role involves evaluating and fine-tuning Large Language Models (LLMs), Automatic Speech Recognition (ASR), and Text-to-Speech (TTS) systems for production. Responsibilities include managing a team of researchers and ML engineers, collaborating with engineering to deploy models, identifying research trends, and driving experimentation frameworks. The ideal candidate will have a PhD or MS in a related field with 5+ years of applied research experience and a strong understanding of transformer-based architectures and LLMs.
Must have:
  • PhD or MS in Machine Learning, NLP, Speech Processing
  • 5+ years in applied research roles
  • 2+ years managing or mentoring technical teams
  • Deep knowledge of transformer architectures and LLMs
  • Strong Python programming skills
  • Experience with ML libraries (PyTorch, TensorFlow, Hugging Face)
  • Ability to lead research to production
  • Excellent communication and leadership skills
Perks:
  • Opportunity to work at a high-growth AI startup
  • Backed by top investors (a16z and YC)
  • Fast growth with double-digit ARR
  • Ownership and autonomy
  • Top-tier compensation (salary + equity)
  • Comprehensive benefits (healthcare, dental, vision)
  • Work with a world-class team

Job Details

About Happyrobot

HappyRobot is a platform to build and deploy AI workers that automate communication. 

Our AI workers connect to any system or data source to handle phone calls, email, messages…

We target the logistics industry which relies heavily on communication to book, check on, & pay for freight. Primarily working with freight brokers, 3PLs, freight forwarders, shippers, warehouses, & other supply chain enterprises and tech startups.

We raised a Series A round from a16z and YC and we’re growing very fast.

We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something great.

About the Role

We’re looking for an AI Applied Research Lead to drive innovation and lead the development of cutting-edge voice AI systems. You’ll work at the intersection of research and production, shaping the future of our AI capabilities while ensuring business impact.

What You’ll Do

  • Lead applied research initiatives to improve NLU, speech synthesis, and voice interaction models

  • Evaluate and fine-tune LLMs, ASR, and TTS systems for high-performance production use

  • Manage and mentor a team of applied researchers and ML engineers

  • Collaborate closely with engineering to bring models into real-time, production-grade systems

  • Identify research trends and emerging technologies to inform product roadmap

  • Drive experimentation frameworks, performance evaluation, and data strategy

  • Foster a culture of innovation, speed, and scientific rigor

What We’re Looking For

  • PhD or MS in Machine Learning, NLP, Speech Processing, or a related field

  • 5+ years of experience in applied research roles, including 2+ years managing or mentoring technical teams

  • Deep knowledge of transformer-based architectures and experience with LLMs

  • Strong programming skills in Python and experience with ML libraries (e.g., PyTorch, TensorFlow, Hugging Face)

  • Demonstrated ability to lead projects from research to production

  • Excellent communication skills and a collaborative leadership style

Why join us?

  • Opportunity to work at a high-growth AI startup, backed by top investors.

  • Fast Growth - Backed by a16z and YC, on track for double-digit ARR.

  • Ownership & Autonomy - Take full ownership of projects and ship fast.

  • Top-Tier Compensation - Competitive salary + equity in a high-growth startup.

  • Comprehensive Benefits - Healthcare, dental, vision coverage.

  • Work With the Best - Join a world-class team of engineers and builders

Our Operating Principles


Extreme Ownership

We take full responsibility for our work, outcomes, and team success. No excuses, no blame-shifting — if something needs fixing, we own it and make it better. This means stepping up, even when it’s not “your job.” If a ball is dropped, we pick it up. If a customer is unhappy, we fix it. If a process is broken, we redesign it. We don’t wait for someone else to solve it — we lead with accountability and expect the same from those around us.

Craftsmanship

Putting care and intention into every task, striving for excellence, and taking deep ownership of the quality and outcome of your work. Craftsmanship means never settling for “just fine.” We sweat the details because details compound. Whether it’s a product feature, an internal doc, or a sales call — we treat it as a reflection of our standards. We aim to deliver jaw-dropping customer experiences by being curious, meticulous, and proud of what we build — even when nobody’s watching.

We are “majos”
Be friendly & have fun with your coworkers. Always be genuine & honest, but kind. “Majo” is our way of saying: be a good human. Be approachable, helpful, and warm. We’re building something ambitious, and it’s easier (and more fun) when we enjoy the ride together. We give feedback with kindness, challenge each other with respect, and celebrate wins together without ego.

Urgency with Focus
Create the highest impact in the shortest amount of time. Move fast, but in the right direction. We operate with speed because time is our most limited resource. But speed without focus is chaos. We prioritize ruthlessly, act decisively, and stay aligned. We aim for high leverage: the biggest results from the simplest, smartest actions. We’re running a high-speed marathon — not a sprint with no strategy.

Talent Density and Meritocracy
Hire only people who can raise the average; ‘exceptional performance is the passing grade.’ Ability trumps seniority. We believe the best teams are built on talent density — every hire should raise the bar. We reward contribution, not titles or tenure. We give ownership to those who earn it, and we all hold each other to a high standard. A-players want to work with other A-players — that’s how we win.

First-Principles Thinking
Strip a problem to physics-level facts, ignore industry dogma, rebuild the solution from scratch. We don’t copy-paste solutions. We go back to basics, ask why things are the way they are, and rebuild from the ground up if needed. This mindset pushes us to innovate, challenge stale assumptions, and move faster than incumbents. It’s how we build what others think is impossible.

The personal data provided in your application and during the selection process will be processed by Happyrobot, Inc., acting as Data Controller.

By sending us your CV, you consent to the processing of your personal data for the purpose of evaluating and selecting you as a candidate for the position. Your personal data will be treated confidentially and will only be used for the recruitment process of the selected job offer.

In relation to the period of conservation of your personal data, these will be eliminated after three months of inactivity in compliance with the GDPR and legislation on the protection of personal data.

If you wish to exercise your rights of access, rectification, deletion, portability or opposition in relation to your personal data, you can do so through security@happyrobot.ai subject to the GDPR.

For more information, visit https://www.happyrobot.ai/privacy-policy

By submitting your request, you confirm that you have read and understood this clause and that you agree to the processing of your personal data as described.

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About The Company

San Francisco, California, United States (On-Site)

Madrid, Community Of Madrid, Spain (Remote)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

San Francisco, California, United States (On-Site)

Madrid, Community Of Madrid, Spain (Hybrid)

Madrid, Community Of Madrid, Spain (Hybrid)

Chicago, Illinois, United States (Hybrid)

Madrid, Community Of Madrid, Spain (Hybrid)

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