Machine Learning Engineer

The role

You will build AI models that make human-like conversations possible. You will design, build, and maintain scalable ML systems and end-to-end ML pipelines.

What you will do

• Design, build, and maintain scalable ML systems
• Develop and optimize end-to-end ML pipelines
• Implement robust MLOps practices
• Collaborate with product and engineering teams to integrate and deploy models
• Ensure data quality, observability, and performance across all AI systems
• Stay current with the latest in AI infrastructure, tooling, and research

Required qualifications

• Strong experience in machine learning, deep learning, and NLP
• Solid background in MLOps and data pipelines
• Proficiency in Python
• Familiarity with Go
• Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases)
• Ability to design ML systems for robustness, scalability, and automation
• Strong coding, debugging, and data engineering skills
• Passion for AI infrastructure and its real-world impact
• Founder mindset: ownership, independence, and willingness to go deep

Nice to have

• Experience in speech recognition, TTS, or audio processing
• Familiarity with LLMs, generative AI, or real-time inference systems
• Hands-on experience with data orchestration frameworks (e.g., Airflow, Prefect, Dagster)
• Prior experience in startup environments with fast iteration cycles
• Knowledge of cloud infrastructure (AWS/GCP/Azure) and containerization tools (Docker, Kubernetes)

Benefits

• Healthcare
• Dental
• Vision coverage
• Equity in a high-growth startup

About the company

HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces. Born in Y Combinator (S23) and backed by a16z, Base10, Prysm Capital and Eurazeo, they power critical operations for global enterprises worldwide.