11 hours ago
Base Salary
$163k - $245k/yr
Responsibilities
- Lead the architecture and end-to-end delivery of scalable systems for deploying, monitoring, and managing ML models in production.
- Own model serving, feature store, and ML observability platform capabilities from design through long-term reliability.
- Partner with ML practitioners, data engineers, and applied AI teams to streamline workflows and accelerate experimentation.
- Evolve the feature store for low-latency feature retrieval across real-time and batch use cases.
- Define observability standards for model performance, data pipelines, and feature freshness.
- Manage and optimize AWS CPU/GPU resources for cost-effective, high-throughput training and inference.
- Contribute to technical strategy and roadmap discussions and mentor engineers through design reviews and hands-on guidance.
Requirements
- 6+ years of software engineering experience with meaningful depth in ML infrastructure, data engineering, or model operations.
- Experience owning and delivering complex platform systems end-to-end from architecture through production.
- Deep expertise in model serving, distributed systems, and production ML workflows at scale.
- Strong proficiency in Python, C++, or similar languages and hands-on experience with TensorFlow or PyTorch.
- Knowledge of ML infrastructure tooling such as Ray, Kubeflow, SageMaker, TensorFlow Serving, or Triton.
- Experience with large-scale search systems, embedding models, vector databases, and distributed retrieval engines such as Qdrant, ChromaDB, or Elasticsearch with dense vector search.
- Experience influencing technical direction across teams and mentoring engineers at varying levels.
- Bachelor’s degree in Computer Science, Software Engineering, or a related technical field; an advanced degree is a plus.
Benefits
- Performance-driven compensation with bonus programs, equity ownership, and 401(k) matching.
- 100% paid employee health insurance with 90% dependent coverage, plus life and disability insurance, fertility benefits, and mental health benefits.
- Access to the Robinhood Employee Fund for eligible US employees.
- Flexible lifestyle wallet for wellness, learning, and other expenses.
- Company holidays, paid time off, sick time, parental leave, and other time off.
- Catered meals, events, and comfortable workspaces.
- Based in Menlo Park, California or Bellevue, Washington, with in-person attendance expected at least three days per week.
About Robinhood
Robinhood builds a mobile-first brokerage and cash management platform for retail investors to trade stocks, ETFs, options, and cryptocurrencies, plus IRAs and a cash card. It makes money through interest on cash and margin, payment for order flow, crypto trading fees, and subscriptions like Robinhood Gold. Founded in 2013 and headquartered in Menlo Park, California, Robinhood Markets is a public company listed on Nasdaq under the ticker HOOD.