Senior Machine Learning Engineer

Key Skills

AI technology, Kubernetes-K8s, Machine learning techniques, Python Programming, PyTorch, SPARK Programming, SQL, TensorFlow

Job Description

Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

As we continue to build

We’re seeking curious, growth minded thinkers to help shape our vision, structures and systems; playing a key-role as we launch into our ambitious future. If you’re invigorated by our mission, values, and drive to change the world we’d love to have you apply.

Help us democratize finance for all!

As you know, Robinhood was founded on a simple idea: that our financial markets should be accessible to all. With customers at the heart of our decisions, Robinhood is lowering barriers and providing greater access to financial information. Together, we are building products and services that help create a financial system everyone can participate in.

As we continue to build we’re seeking curious thinkers looking to co-author the next chapters of our story. We look forward to you helping shape our vision, structures and systems; playing a key-role as we launch into our ambitious future.

With Internal Mobility our goal is to create a clear, equitable, transparent process to enable Hoodies to make informed decisions about their career journey! 

If this role is in a different location from your current, please still express your interest! Once you apply, the Recruiter for the role can confirm location expectations; if the location is a preference (and not a hard requirement) you would not be required to relocate.

About the team + role

The Lifecycle Marketing team is responsible for driving user & revenue growth for Robinhood. As we expand our suite of product offerings, we want to make sure we are taking a personalized approach to driving growth & engagement, by helping each user discover & engage with the right products & features within Robinhood that they might find most valuable. As we embark on this path, we are looking for a senior MLE to come in and lead our personalization efforts, and conceive, build & execute on a roadmap for how to effectively personalize our experiences to drive user growth & engagement.

What you'll do

As a Machine Learning Engineer in our team, your primary focus will be on the implementation and evaluation of machine learning algorithms through rigorous experimentation and testing methodologies. Your responsibilities will include:

• Model Development and Implementation: Develop and implement scalable machine learning models focusing on advanced ranking and recommendation systems, including expertise in Collaborative Filtering, Content-Based Filtering, and Hybrid models, alongside proficiency in Learning to Rank (LTR) techniques for effective prioritization. Additionally, design reinforcement learning algorithms and apply multi-armed bandit strategies to optimize decision-making in dynamic environments, balancing exploration and exploitation.
• A/B Testing and Experimentation: Design and conduct A/B tests to assess the performance of different machine learning models. This includes setting up the test environment, monitoring performance, and analyzing results.
• Data Analysis and Insight Generation: Analyze experimental data to extract actionable insights. Use statistical techniques to validate the findings and ensure their relevance and accuracy.
• Cross-Functional Collaboration: Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product and ensure they meet business requirements.
• Documentation and Reporting: Maintain comprehensive documentation of models, experiments, and findings. Prepare reports and presentations to communicate results to different stakeholders.

What you bring

• 5+ years of applied ML experience productionizing ML models with 2+ years focused on recommendations, ranking or personalization projects.
• A fervent interest in exploring and applying AI and ML technologies.
• Strive to solve sophisticated engineering problems that drive business objectives.
• Solid technical foundation enabling active contribution to the design and execution of projects and ideas.
• Familiarity with architectural frameworks of large, distributed, and high-scale ML applications.
• Proven experience in ML with a focus on ranking, recommendation systems, and reinforcement learning, including applications in targeted advertising.
• Expertise in leveraging diverse communication platforms, such as email campaigns, push notifications, and in-app promotions.
• Proficiency in Python, SQL, PyTorch, or TensorFlow.
• Experience with Spark, Kafka, and Kubernetes is also desirable.
• Ideally you have experience in the Finance sector.

What we offer

• Market competitive and pay equity-focused compensation structure
• 100% paid health insurance for employees with 90% coverage for dependents
• Annual lifestyle wallet for personal wellness, learning and development, and more!
• Lifetime maximum benefit for family forming and fertility benefits
• Dedicated mental health support for employees and eligible dependents
• Generous time away including company holidays, paid time off, sick time, parental leave, and more!
• Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits

Click here to learn more about Robinhood’s Benefits.

We’re looking for more growth minded and collaborative people to be a part of our journey in democratizing finance for all. If you’re ready to give 100% in helping us achieve our mission we’d love to have you apply even if you feel unsure about whether you meet every single requirement in this posting. At Robinhood, we're looking for people invigorated by our mission, values, and drive to change the world, not just those who simply check off all the boxes.