Senior Machine Learning Engineer, Robinhood
$134-245k
Plus bonus programs and equity ownership
3+ days a week in office (Menlo Park, CA)
Commission-free stock trading & investing app
Posted today
Commission-free stock trading & investing app
1001+ employees
Posted today
$134-245k
Plus bonus programs and equity ownership
3+ days a week in office (Menlo Park, CA)
1001+ employees
Company mission
To democratize finance for all.
Role
Who you are
- Bachelor's degree or foreign equivalent in Computer Science or related field and three years (3) of experience in AI, Machine learning, job offered or related occupation
- Education and/or experience must include 3 years of experience with each of the following skills is required:
- Designing and deploying machine learning systems using production-grade frameworks for training, optimization, and service integration
- Implementing scalable data pipelines using distributed compute frameworks to process, validate, and version large datasets
- Building and fine-tuning large language models using techniques such as LoRA, RLHF, retrieval augmentation, and prompt optimization
- Developing high-performance inference systems by applying quantization, pruning, distillation, and hardware-aware optimization
- Engineering retrieval-augmented generation pipelines with vector indexes, embedding workflows, and document-chunking strategies
- Authored production-ready microservices that expose model inference endpoints with robust API design, containerization, and orchestration
- Constructing automated AI evaluation frameworks including metric suites, safety checks, hallucination detection, and regression testing
- Background checks required
What the job involves
- 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
- Fine tuning, product use cases, developing AI inference services for product use cases. Optimization of agentic workflows through finetuning and reinforced learning. Improving evaluation and training or finetune models for product use cases
- Working with platform tooling team to productionize fine-tuned models for customer use cases. Telecommuting Permitted
Our take
For years, traditional brokers ruled the share trading realm, charging hefty fees that locked out everyday investors. Robinhood emerged as a disruptor, offering commission-free trading and opening the door to a new generation. Since then, expectations have continued to evolve, with investors looking not just to lower costs, but for simpler tools, clearer information, and guidance that makes the market easier to understand.
Robinhood was built to meet those changing expectations, designed from the start as a mobile-first platform that makes investor more accessible and less intimidating for people at every stage of their financial journey. Through its app, users can trade stocks and other financial instruments while benefiting from a clean interface and built-in educational support, helping them move from curiosity to confidence without unnecessary complexity.
Recently, Robinhood has strenghtned its impact too, particularly in the UK. With the launch of AI-powered Digests within its Robinhood Cortex assistant that helps users understand what's driving stock movements in plain English, while upcoming options trading and expanded educational resources add flexibility and depth. Together, these steps position Robinhood as a platform evolving alongside its users, blending technology and education to stay ahead in an ever-changing investment landscape.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 13 rounds)
Feb 2021
$2.4bn
CONVERTIBLE
Jan 2021
$1bn
LATE VC
Total funding: $5.6bn
Company HQ
Downtown Menlo Park, Menlo Park, CA
Leadership
Vlad Tenev
(Co-Founder, CEO & Chairman)Studied Mathematics at Stanford University, where they met Baiju. Dropped out of a PhD to start Robinhood. Alongside Robinhood, Vlad is also the co-founder and Executive Chairman of Harmonic.
Baiju B.
(Co-Founder)Studied Mathematics and Physics at Stanford University, where they met their Vlad and co-founded Robinhood in 2012. Baiju is also the Founder and CEO of Aetherflux.
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