Greenhouse ·
full-timeSenior Machine Learning Engineer, AI Infra
Robinhood · Bellevue, WA; Menlo Park, CA
Robinhood is a fintech platform that aims to make financial services accessible to a broad audience. The AI Infrastructure team builds a centralized machine‑learning platform that supports model development, deployment, and monitoring across the company. In this senior role you will own the architecture and end‑to‑end delivery of core systems such as the feature store, model‑serving layer, and observability tooling. Daily work involves designing scalable distributed components, managing cloud compute resources on AWS, and defining reliability standards for model performance and data pipelines. You will collaborate closely with data engineers, applied‑AI researchers, and product teams to streamline workflows and reduce friction in experimentation. The position also includes mentoring junior engineers and contributing to the team’s technical roadmap. The role suits an experienced software engineer with six or more years of experience, strong expertise in ML infrastructure or model operations, deep knowledge of distributed systems, and proficiency in Python, C++ or similar languages together with hands‑on use of frameworks such as TensorFlow, PyTorch, Ray, Kubeflow or SageMaker.
Education
- Level: Bachelor's degree
Key Skills
Notes
['In-person attendance expected at least 3 days per week']
Experience required
6-6 years experienceAbout the Role We are building an elite AI Infrastructure team to provide a robust, agile, and centralized AI platform that empowers teams across Robinhood. The role focuses on platform work that multiplies the output of the organization. Responsibilities - Lead architecture and end‑to‑end delivery of scalable systems for deploying, monitoring, and managing ML models in production. - Own technical direction for model serving, feature store, and ML observability infrastructure. - Drive cross‑functional partnerships with ML practitioners, data engineers, and applied AI teams. - Evolve and scale the feature store for low‑latency feature retrieval in real‑time and batch use cases. - Define and implement robust observability standards for model performance, data pipelines, and feature freshness. - Manage and optimize cloud compute resources (CPU/GPU) on AWS for cost‑effective, high‑throughput training and inference. - Contribute to technical strategy, roadmap discussions, and mentor engineers. Requirements - 6+ years of software engineering experience with depth in ML infrastructure, data engineering, or model operations. - Strong proficiency in Python, C++, and hands‑on experience with TensorFlow or PyTorch. - Deep expertise in model serving, distributed systems, and production ML workflows at scale. - Experience with modern ML infrastructure tooling such as Ray, Kubeflow, SageMaker, TensorFlow Serving, and Triton. - Experience managing cloud compute resources (CPU/GPU) on AWS.
Skills for this role
| Role | Senior Machine Learning Engineer, AI Infra |
|---|---|
| Company | Robinhood |
| Location | Bellevue, WA; Menlo Park, CA |
| Compensation | Not disclosed |
| Posted | 2026-09-25 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Senior Machine Learning Engineer, AI Infra at Robinhood: frequently asked questions
- Who can apply for the Senior Machine Learning Engineer, AI Infra role at Robinhood?
- The listing asks for Bachelor's degree; 6-6 years of experience.
- What skills does the Senior Machine Learning Engineer, AI Infra role require?
- The listing highlights Python, C++, TensorFlow, PyTorch, Ray, Kubeflow, SageMaker, TensorFlow Serving, Triton, AWS. Show each of these in a project or past role on your resume.
- What is the salary for this role?
- Robinhood has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Senior Machine Learning Engineer, AI Infra position remote, hybrid or onsite?
- The listing marks this role as hybrid, with Bellevue, WA; Menlo Park, CA as the location.
- What is the application deadline?
- Robinhood has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Senior Machine Learning Engineer, AI Infra role?
- Use the Apply button on this page. It opens the original listing on boards.greenhouse.io, where you submit your application with the company.
More at Robinhood
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Internships at Robinhood
- Data Science Intern (summer 2027) · Menlo Park, CA
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