SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
HappyRobot is an AI infrastructure platform enabling enterprises to build and orchestrate autonomous AI workforces. Backed by a16z and Y Combinator (S23) with $60M+ raised, the company has developed proprietary voice stacks, models, and orchestration layers deployed in demanding real-world environments, starting in logistics and expanding across enterprise operations.
As a Machine Learning Engineer, you will design, build, and maintain scalable ML systems powering real-time, human-like conversational AI. You'll own the complete ML lifecycle—from data ingestion and preprocessing through training, validation, and production deployment. Key responsibilities include developing end-to-end ML pipelines with robust data quality and monitoring, implementing MLOps best practices (model versioning, experiment tracking, CI/CD for ML), and collaborating with product and engineering teams to integrate models into production systems optimized for efficiency and scalability.
Required qualifications: strong expertise in machine learning, deep learning, and NLP; solid MLOps and data pipeline experience (model deployment, monitoring, scaling); proficiency in Python and Go; hands-on experience with ML lifecycle tools (MLflow, Kubeflow, Weights & Biases); ability to design robust, scalable, automated ML systems; strong coding and data engineering skills; and a founder mindset emphasizing ownership and independence.
Nice-to-have skills include speech recognition, TTS, or audio processing experience; familiarity with LLMs and real-time inference systems; hands-on data orchestration (Airflow, Prefect, Dagster); startup experience; and cloud infrastructure knowledge (AWS/GCP/Azure, Docker, Kubernetes).
This is an early-stage ML hire opportunity to shape both technology direction and company strategy. You'll work with a high-talent-density team operating on principles of extreme ownership, craftsmanship, and urgency with focus. The role offers competitive salary, equity in a high-growth startup, comprehensive benefits, and full autonomy to ship fast.
