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Machine Learning Engineer at Robinhood - ApplyBlast

Machine Learning Engineer

Robinhood

4 months ago

3.7 on Glassdoor

Bellevue, WA

Hybrid

Full Time

Senior

0 applicants

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About this role

An exceptional Machine Learning Engineer will shape Robinhood's core platforms by implementing and evaluating advanced machine learning algorithms for the AI Research and Development team. The role involves designing scalable models for recommendations and ranking, conducting rigorous A/B testing, and collaborating cross-functionally to integrate AI solutions into the product. Based in Bellevue, WA with expectations for in-person work three days per week, this position drives deep innovation in the rapidly evolving FinTech sector.

Responsibilities

Develop and implement scalable machine learning models for ranking and recommendation systems.
Design reinforcement learning algorithms and apply multi-armed bandit strategies.
Conduct rigorous A/B tests to assess machine learning model performance.
Evaluate cutting-edge technologies including large foundational models.
Build reusable libraries and maintain comprehensive documentation for ML practices.

Skills

Qualifications

Bachelor's degree in Computer ScienceProductionization of ML modelsExperience with transformer-based architectures

About Robinhood

robinhood.com

Headquarters

Menlo Park, California, United States

Company Size

1001-5000 employees

Founded

2013

View Profile

Robinhood is a financial services and brokerage platform offering 24/5 commission-free trading and investing in stocks, ETFs, options, and cryptocurrencies via web and mobile apps. It provides retail investors easy-to-use tools — including fractional shares, real-time market data, advanced order types, and optional margin and premium features (Robinhood Gold) — to lower barriers to entry. Known for its clean, consumer-focused interface and mission to democratize finance, Robinhood also notes that terms, fees, and regulatory oversight may apply.