HappyRobot
Machine Learning Engineer
San Francisco
Sponsorship not specifiedDetected 73 days ago
PythonAWSGCPAzureCloud PlatformsDockerKubernetesCI/CDMachine LearningDeep LearningAirflowData EngineeringComputer VisionLLMsMLOpsAI OrchestrationComplianceLogisticsResearch
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odds of building a lasting career here
37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- You'll 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.
- You'll 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.
- Ensure data quality, observability, and performance across all AI systems.
Responsibilities
- HappyRobot is the infrastructure for enterprises to build and orchestrate AI workforces.
- We started in logistics, built our own voice stack, models, and orchestration layer from the ground up, and are now bringing that infrastructure to every enterprise that runs the real economy.
- Design, build, and maintain scalable ML systems - from data ingestion and preprocessing to training, testing, and deployment.
- Develop and optimize end-to-end ML pipelines (data collection, labeling, training, validation, monitoring) to ensure reliability and reproducibility.
- Implement robust MLOps practices, including model versioning, experiment tracking, CI/CD for ML, and continuous monitoring in production.
- Collaborate with product and engineering teams to integrate and deploy models into real-time products with a focus on efficiency and scalability.
- From designing robust models to deploying them in production, you'll own the entire lifecycle of ML systems and help us stay ahead of the curve in AI innovation.
Requirements
- Proficiency in Python and familiarity with Go.
- Experience with ML lifecycle management tools (e.g., MLflow, Kubeflow, Weights & Biases).
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).
- Join a world-class team of engineers and builders.
- Backed by top investors including a16z, Y Combinator, Base10, Prysm Capital and Eurazeo.
- Have ownership and autonomy of projects and are encouraged to ship.
Skills
- Strong coding, debugging, and data engineering skills.
Compensation
- Competitive salary + equity in a high-growth startup.
Benefits
- Learn more about our vision in our manifesto. https://www.happyrobot.ai/blog/manifesto
Company info
- We are "majos" Be friendly & have fun with your coworkers.
- Our platform is battle-tested in the most demanding environments, where AI has real consequences.
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This listing is sourced directly from HappyRobot's careers page and normalized into a canonical job model.