Machine Learning Engineer @Robinhood

Overview

The role of Machine Learning Engineer at Robinhood involves implementing and evaluating machine learning algorithms to tackle complex financial problems. This position requires in-person attendance in Bellevue, WA, at least three days a week.

Key Responsibilities

• Evaluate cutting-edge ML technologies and identify solutions for Robinhood specific problems.
• Develop and implement scalable ML models, focusing on ranking and recommendation systems.
• Design and conduct A/B tests to assess performance and analyze results.
• Analyze experimental data to extract actionable insights and validate findings.
• Collaborate with engineering teams and present results to stakeholders.
• Maintain comprehensive documentation of models, experiments, and findings.

Requirements

• Bachelor’s degree in Computer Science or related field with three years of experience, or a Master’s degree with one year of experience.
• Experience in productionizing ML models, including recommendations and ranking.
• Proficiency in Python, SQL, XGBoost, Pytorch or TensorFlow.
• Experience with tools like Spark, Kafka, or Kubernetes.

Benefits

• Challenging work and performance-driven compensation.
• 100% paid health insurance for employees, 90% for dependents.
• Flexible lifestyle benefits spending account.
• Employer-paid life & disability insurance and mental health benefits.
• Time off for company holidays, paid time off, and parental leave.

Location

This role is based in Bellevue, WA, with a requirement for in-person attendance at least three days a week.

How to Apply

To apply, click "APPLY NOW" and indicate job code 10035097 in your application.

Deadline

No specific deadline stated.