Robinhood

Financial Services

SeniorMachineLearningEngineer

$134–245k Menlo Park, California, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Machine Learning Engineer at Robinhood. Skills: Machine learning, Large language models, AI inference. Fine tuning models. Develop AI inference services”

Industry & Context.

Financial Services
Problems you'll solve

Problem-solvers; Critical thinking

Eligibility Requirements

Background checks required

What They're Looking For.

Must Have

3 years experience in AI, 3 years experience in Machine learning, Designing and deploying machine learning systems, Implementing scalable data pipelines, Building and fine-tuning large language models, Developing high-performance inference systems, Engineering retrieval-augmented generation pipelines, Authored production-ready microservices, Constructing automated AI evaluation frameworks

Nice to Have

LoRA experience, RLHF experience, Retrieval augmentation experience, Prompt optimization experience, Quantization experience, Pruning experience, Distillation experience, Hardware-aware optimization experience, Vector indexes experience, Embedding workflows experience, Document-chunking strategies experience, Robust API design experience, Containerization experience, Orchestration experience, Metric suites experience, Safety checks experience, Hallucination detection experience, Regression testing experience

What You'll Do.

Develop AI inference services

Optimize agentic workflows

Improve model evaluation

Improve model training

Productionize fine-tuned models

How You'll Work.

Team & Collaboration

Cross-functional leaders; Platform tooling team

Process & Methodology

Project completion

Full Job Description

Join us in building the future of finance. Our mission is to democratize finance for all. An estimated $124 trillion of assets will be inherited by younger generations in the next two decades. The largest transfer of wealth in human history. If you’re ready to be at the epicenter of this historic cultural and financial shift, keep reading. About the team + role We are building an elite team, applying frontier technologies to the world’s biggest financial problems. We’re looking for bold thinkers. Sharp problem-solvers. Builders who are wired to make an impact. Robinhood isn’t a place for complacency, it’s where ambitious people do the best work of their careers. We’re a high-performing, fast-moving team with ethics at the center of everything we do. Expectations are high, and so are the rewards. We're looking for an exceptional Senior Machine Learning Engineer to help shape the future of our core platforms, products, and customer experiences. FinTech is one of the most complex and rapidly evolving spaces in technology, and the challenges we're tackling require deep innovation, critical thinking, and scale that don't always have strong precedents. You'll take on a highly influential role shaping vision and execution across key strategic initiatives. You'll partner with cross-functional leaders, contribute to high-impact decisions, guide complex projects from concept to completion, and mentor others on the team. This is a role for someone who leverages modern tools and cutting-edge methodologies as a core part of how they solve problems, and raises the bar for everyone around them. This role is based in our Menlo Park, CA, with in-person attendance expected at least three days per week. At Robinhood, we believe in the power of in-person work to accelerate progress, spark innovation, and strengthen community. Our office experience is intentional, energizing, and designed to fully support high-performing teams. What you'll do Fine tuning, product use cases, developing A

Free ATS check

Applying for this Senior Machine Learning Engineer role?

Most applicants get filtered before a human reads their resume. See if yours makes the cut.

How to Apply on Greenhouse

  • Create a Greenhouse profile before applying — it saves time across multiple applications.
  • Upload your resume as a PDF; the parser handles it better than Word.
  • Answer all knockout questions carefully — wrong answers auto-reject before a human sees you.
  • Enable email notifications to track application status in real time.

ANONYMOUS · UNFILTERED

What do employees actually say about Robinhood?

Real rants from real employees. Read before you apply.

Read Company Rants →