Senior ML Platform Engineer — AI Infra

Robinhood; Bellevue, Menlo Park (WA, CA); On-site; USD 209,000 - 245,000; Full time

Benefits offered by this job

Bonus opportunities

Equity ownership

401(k) matching

100% paid health insurance

Job summary

Robinhood is seeking a Senior Software Engineer for the AI Infrastructure team with a focus on building and scaling the ML platform. You will own architecture and end-to-end delivery of foundational systems powering model development, deployment, and observability across the company.

Based in Menlo Park, CA and Bellevue, WA, the role requires in-person presence at least 3 days per week. You will mentor engineers, influence technical direction, and partner with ML practitioners to accelerate

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 5+ years of software engineering with focus on ML infrastructure or model ops.
• Experience delivering complex platform systems end-to-end, from design to production.

Responsibilities

• Lead architecture and end-to-end delivery of scalable ML deployment, monitoring, and management systems.
• Own technical direction for platform areas—model serving, feature store, observability infrastructure.
• Collaborate with ML practitioners and data engineers to streamline workflows and accelerate experimentation.
• Scale feature store for real-time and batch feature retrieval with low latency.
• Define robust observability standards for model performance and data pipelines.

Skills

Python

C++

ML infrastructure

Distributed systems

Model serving

TensorFlow/PyTorch

Mentoring engineers

Education

Bachelor's degree in Computer Science or related field

Tools

TensorFlow

PyTorch

Ray

Kubeflow

SageMaker

Elasticsearch

ChromaDB/Qdrant

Job description

Robinhood is seeking a Senior Software Engineer for the AI Infrastructure team with a focus on building and scaling the ML platform. You will own architecture and end-to-end delivery of foundational systems powering model development, deployment, and observability across the company.

Based in Menlo Park, CA and Bellevue, WA, the role requires in-person presence at least 3 days per week. You will mentor engineers, influence technical direction, and partner with ML practitioners to accelerate