Senior Machine Learning Engineer AI Infra
Robinhood helps users invest in stocks, ETFs, options, and cryptocurrencies through commission-free trading with no minimum account requirements.
Maintainer signals as of 9/2/2026
Funding history
Investors
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About Robinhood
Robinhood helps retail investors access financial markets through commission-free trading of stocks, ETFs, options, and cryptocurrencies. With it, users can invest with no account minimums, earn rewards through retirement accounts with matching contributions, and access advanced trading tools. Robinhood democratizes investing by making financial markets accessible to everyone, not just wealthy investors.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead the architecture and delivery of systems that deploy, monitor, and manage production ML models. You will evolve model-serving, feature-store, observability, training, and cloud-compute capabilities while partnering with ML practitioners and mentoring engineers.
Requirements
- 6+ years of software engineering experience with depth in ML infrastructure, data engineering, or model operations
- Experience delivering complex platform systems from architecture through production
- Expertise in model serving, distributed systems, and production ML workflows
- Proficiency in Python, C++, or similar languages
- Experience with TensorFlow or PyTorch
- Knowledge of Ray, Kubeflow, SageMaker, TensorFlow Serving, or Triton
- Experience with embedding models, vector databases, and distributed retrieval engines
- Experience with Qdrant, ChromaDB, or Elasticsearch dense vector search
- Experience influencing technical direction and mentoring engineers
- Bachelor's degree in Computer Science, Software Engineering, or a related technical field
Responsibilities
- Lead architecture and end-to-end delivery of scalable ML model deployment, monitoring, and management systems
- Own the technical direction for model serving, feature store, and ML observability infrastructure
- Partner with ML practitioners, data engineers, and applied AI teams to streamline workflows
- Scale the feature store for low-latency real-time and batch feature retrieval
- Define and implement observability standards for model performance, data pipelines, and feature freshness
- Optimize AWS CPU and GPU compute resources for training and inference
- Contribute to technical strategy and mentor engineers
Benefits
- Bonus programs
- Equity ownership
- 401(k) matching
- 100% paid health insurance for employees
- 90% health insurance coverage for dependents
- Access to the Robinhood Employee Fund for eligible US employees
- Access to AI tools
- Lifestyle wallet
- Employer-paid life and disability insurance
- Fertility benefits
- Mental health benefits
- Company holidays
- Paid time off
- Sick time
- Parental leave
- Catered meals
- Office events