Job Description

Join to apply for the Machine Learning Engineer role at HappyRobot

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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

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 were growing very fast , on track to hit double digit ARR by June this year.

We're looking for rockstars with a relentless drive, unstoppable energy, and a true passion for building something greatready to embrace the challenge, push limits, and thrive in a fast-paced, high-intensity environment, working from 9 to 9, six days a week.

About The Role

Youll be building AI models that make human-like conversations possible. Youll work at the intersection of speech, language, and intelligence, taking cutting-edge research and transforming it into real-time, scalable systems that power our core products. Youll have the unique opportunity to make a huge impact as one of our first ML hires, shaping not only the technology but also the direction of our company. From designing robust models to deploying them in production, youll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.

Responsibilities

• Design, build, and optimize ML models for speech and language understanding.
• Build and maintain scalable pipelines for training, testing, and deploying models.
• Stay up-to-date with the latest in AI research and help us stay ahead of the curve.
• Collaborate closely with product and engineering teams to integrate models into our core products.
• Ensure robustness, efficiency, and low-latency in all production AI systems.

Must Have

• Strong experience in machine learning, deep learning, and NLP.
• Hands-on experience with PyTorch, TensorFlow, or JAX.
• Solid coding skills in Python; familiarity with production ML practices.
• Ability to design and optimize models for both performance and scalability.
• Passion for AI and product impact.
• Founder mindset: Hard work + independence + ownership.

Nice to Have

• Experience in speech recognition, TTS, or audio processing.
• Knowledge of LLMs, generative AI, or real-time systems.
• Experience in startup environments and fast iteration cycles.
• Familiarity with MLOps tools (e.g., MLflow, Weights & Biases).

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

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 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.

Seniority level

• Seniority level

  Entry level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

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