Machine Learning Engineer

Sourced from feeny.ai

HappyRobot builds infrastructure for enterprises to orchestrate AI workforces that autonomously handle voice and email operations. As one of the first ML hires, you will design and deploy scalable ML systems spanning speech, language, and intelligence. You will own the full ML lifecycle, from data pipelines and training to production deployment and monitoring.

• Design, build, and maintain scalable ML systems from data ingestion to training and deployment
• Develop and optimize end-to-end ML pipelines for reliability and reproducibility
• Implement MLOps practices including model versioning, experiment tracking, CI/CD, and monitoring
• Collaborate with product and engineering teams to deploy models into real-time products
• Ensure data quality, observability, and performance across AI systems
• Stay current with AI infrastructure, tooling, and research

• Strong experience in machine learning, deep learning, and NLP
• Solid background in MLOps and production data pipelines
• Proficiency in Python and familiarity with Go
• Experience with ML lifecycle tools such as MLflow, Kubeflow, or Weights & Biases
• Ability to design robust, scalable, automated ML systems
• Strong coding, debugging, and data engineering skills
• Founder mindset with ownership and independence

• Experience in speech recognition, TTS, or audio processing
• Familiarity with LLMs, generative AI, or real-time inference
• Hands-on experience with Airflow, Prefect, or Dagster
• Prior startup experience with fast iteration cycles
• Knowledge of AWS/GCP/Azure and Docker/Kubernetes