Join Robinhood as a Senior Machine Learning Engineer to lead the architecture of scalable ML systems in a hybrid work environment.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 13 minutes ago
Joblaze summary
In this role, the Senior Machine Learning Engineer on the AI Infrastructure team at Robinhood is responsible for designing and delivering scalable systems that manage the deployment and monitoring of machine learning models. The position requires expertise in model serving, distributed systems, and proficiency in programming languages like Python or C++, along with experience in ML frameworks such as TensorFlow or PyTorch. This role is ideal for seasoned engineers with a strong background in ML infrastructure and a track record of leading complex projects. The team emphasizes collaboration across various engineering disciplines to enhance the efficiency of AI workflows.
Quick facts
- Is the Senior Software Engineer, AI Infra role remote?
- It's hybrid — Robinhood expects some on-site time in Menlo Park, CA.
- What's the salary range?
- Robinhood lists $209,000–$245,000 for this role.
- How much experience is required?
- At least 6 years of relevant experience for this Senior Software Engineer, AI Infra role.
- Where is the role based?
- Robinhood is hiring for this position in Menlo Park, CA.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: C++, ChromaDB, Elasticsearch, Kubeflow, PyTorch, Python.
- What seniority level is this role?
- Robinhood targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Software Engineer, AI Infra role at Robinhood.
From the original posting
Join us in building the future of finance.
The AI Infrastructure team is building the foundation that powers machine learning and AI across Robinhood. We own the infrastructure supporting the entire ML/AI lifecycle, from feature engineering and training pipelines to model serving, inference, and observability. We also build and operate Robinhood's LLM gateway, enabling engineering teams across the company to leverage frontier and fine-tuned in-house AI models efficiently and at scale.
As a Senior Software Engineer, AI Infrastructure, you'll join a small, growing team tackling some of the most interesting infrastructure challenges at the intersection of distributed systems and AI. You'll work across traditional ML infrastructure and emerging LLM technologies, helping improve GPU efficiency, scale model serving, and build intelligent routing systems. This is an opportunity to get in early, take meaningful ownership, and help shape the infrastructure that will support Robinhood's next generation of AI capabilities.
This role is based in our Menlo Park office, with in-person attendance expected at least 3 days per week.
What you’ll do
- Design, build, and scale the infrastructure powering machine learning and AI across Robinhood, including feature stores, training pipelines, model serving, inference, and observability.
- Build and optimize distributed systems that support large-scale ML/AI workloads, with a focus on performance, reliability, scalability, and latency.
- Improve GPU utilization and efficiency by developing scheduling solutions for training and inference workloads.
- Help evolve Robinhood's LLM gateway, including intelligent model routing, query and prompt understanding, and context optimization.
- Support infrastructure for serving open-weight and fine-tuned models, enabling reliable access to AI capabilities across the company.
- Partner with engineering teams across Robinhood to understand their infrastructure needs and build scalable, reusable solutions.
- Own the operational health of critical infrastructure, including monitoring, troubleshooting, performance optimization, and participation in an on-call rotation.
What you bring
- Strong software engineering experience with a focus on infrastructure, distributed systems, or large-scale backend platforms.
- Hands-on experience designing, building, and operating distributed systems in production, with a strong understanding of scalability, reliability, and system performance.
- Experience solving complex infrastructure challenges, including latency optimization, resource utilization, and production system reliability.
- Strong software development and system design skills, with the ability to take ownership of complex technical problems from design through production.
- Experience working with infrastructure technologies and tools in production environments, with an understanding of how to build and operate reliable systems at scale.
- Ability to work independently, navigate ambiguity, and contribute to foundational engineering projects within a small, growing team.
- Interest in machine learning and AI infrastructure, with a willingness to learn and work across both traditional infrastructure and emerging AI technologies.
- Bonus: Experience with ML infrastructure, model training or serving, GPU workload scheduling, LLM gateways, or open-source infrastructure technologies.
What we offer
- Challenging, high-impact work to grow your career.
- Performance driven compensation with multipliers for outsized impact, bonus programs, equity ownership, and 401(k) matching.
- Top Tier benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents.
- Access to the Robinhood Employee Fund that gives eligible US employees the opportunity to invest in a private employee fund that provides exposure to Robinhood Ventures funds.
- Access to the best AI tools on the market and continuous AI skill-building for every employee, technical or not.
- Lifestyle wallet - a highly flexible benefits spending account for wellness, learning, and more.
- Employer-paid life & disability insurance, fertility benefits, and mental health benefits.
- Time off to recharge including company holidays, paid time off, sick time, parental leave, and more!
- Exceptional office experience with catered meals, events, and comfortable workspaces.
In addition to the base pay range listed below, this role is also eligible for bonus opportunities + equity + benefits.
Base Pay Range:
$196,000—$230,000 USD
Zone 2 (Denver, CO; Westlake, TX; Chicago, IL)
$172,000—$202,000 USD
Zone 3 (Lake Mary, FL; Clearwater, FL; Gainesville, FL)
$153,000—$179,000 USD
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Standard company text repeated across Robinhood's postings is omitted here.