Machine Learning Engineer (CX Understanding - Predictive Solutions)

Join a leading fintech company that’s democratizing finance for all.

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.

Just as we focus on our customers, we also strive to create an inclusive environment where our employees can thrive and do impactful work. We are proud of the competitive products and company culture we’ve built and have been recognized as:

• Forbes Fintech 50 2021
• Glassdoor Best Places to Work 2021 
• Inc. Best-Led Companies 2021
• TIME 100 Most Influential Company 2021

We’re growing and looking for...

We continue to hire Robinhoodies at a rapid pace to drive this journey, and with that growth comes necessary change. We’re seeking culture builders and curious thinkers looking to co-author the next chapters of our story. We’re in build mode, majorly expanding our team while also growing up as a company. Joining now means helping shape our structures and systems, then taking part as we launch into our ambitious future.

Check out life at Robinhood on The Muse!

About the team:

The mission of our CX Understanding - Predictive Solutions team is to measurably improve the customer care experience through data driven insights, experimentation, machine learning, and NLP technologies. The CX Understanding team is passionate about foundational work that ensures we have a detailed understanding of customer problems, a trustable way to track the end-to-end customer support journey, and the right groundwork for ML, and NLP driven CX solutions.

What you’ll do day-to-day:

• Dive into data to understand the business problem.
• Train novel machine learning models and take them to production.
• Story based feature engineering and model hyper-parameter tuning to improve predictive power and performance of the models.
• Model interpretability to understand how ML impacts our users.
• Work multi-functionally with product managers, operations and other engineering managers in order to build end-to-end solutions.
• Collaborate with our data infrastructure teams to build a highly scalable machine learning platform.

About you:

• Demonstrated ability as a Machine Learning Engineer or Applied Machine Learning Scientist
• Solid understanding of machine learning and deep learning algorithms
• Excellent programming skills, including proficiency in Python, Scala, Java or C++ programming languages.
• Passion for working and learning in a fast-growing company
• Excellent communication skills to tell a story through data
• Experience working with product teams.
• Experience working with datasets that reflect real life problems such as noisy, highly imbalanced datasets
• Experience building pipelines for data analysis

Preferred Skills:

• Experience with ML frameworks like Tensorflow, pytorch, kerns, MxNet
• Domain expertise in Customer Experience
• Experience building chatbots
• Knowledge graph expertise

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.

Robinhood promotes diversity and provides equal opportunity for all applicants and employees. We are dedicated to building a company that represents a variety of backgrounds, perspectives, and skills. We believe that the more inclusive we are, the better our work (and work environment) will be for everyone. Additionally, Robinhood provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review Robinhood's Privacy Policy please visit Robinhood - US Applicant Privacy Policy.

Robinhood's benefits include generous time off, 401(k) participation with employer match, comprehensive health coverage, a health savings account (HSA), wellness benefits, backup childcare and education stipends (all benefits are subject to applicable taxes and based on eligibility).

Robinhood is a primarily remote company. If hired, you will work as a remote employee unless the job you are applying for has a different working model specified. Please reach-out  to your recruiter if you have any questions regarding the job’s working model.