Senior Machine Learning Engineer

Robinhood; Edison (CA); Hybrid; USD 133,952 - 245,000; Full time

Benefits offered by this job

100% paid health insurance

Performance-driven compensation

401(k) matching

Flexible benefits spending account

Mental health benefits

Catered meals and events

Job summary

Robinhood is seeking a Senior Machine Learning Engineer in Edison, California, to join their elite team tackling major financial challenges with innovative technology.

This role involves shaping the future of their products and platforms by optimizing AI inference services and collaborating with cross-functional leaders. The ideal candidate will have a Bachelor's degree in Computer Science and three years of relevant experience.

Robinhood offers competitive compensation, comprehensive health benefits, and a vibrant office culture.

Qualifications

• 3 years of experience in AI, Machine Learning, or related field.
• Experience designing and deploying machine learning systems.
• Familiar with fine-tuning and optimizing models.

Responsibilities

• Develop AI inference services for product use cases.
• Optimize workflows through fine-tuning and reinforcement learning.
• Collaborate with teams to productionize models.

Skills

Machine learning systems design and deployment

Scalable data pipeline implementation

Fine-tuning large language models

High-performance inference systems

Building microservices for model inference

Automated AI evaluation frameworks

Education

Bachelor’s degree in Computer Science or related field

Tools

Production-grade machine learning frameworks

Distributed compute frameworks

Job description

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 and sharp problem‑solvers. This is a high‑performing, fast‑moving team with ethics at the center. 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.

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 role is based in our Menlo Park, CA, and in‑person attendance is expected at least three days per week.

What you’ll do

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.

What you bring

• 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 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
• Best in class benefits to fuel your work, including 100% paid health insurance for employees with 90% coverage for dependents
• 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.

Base pay range: $133,952 - $245,000 per year.

Robinhood provides equal opportunity for all applicants, offers reasonable accommodations upon request, and complies with applicable equal employment and privacy laws. Inclusion is built into how we hire and work—welcoming different backgrounds, perspectives, and experiences so everyone can do their best. Please review the Privacy Policy for your country of application.