Machine Learning Engineer

Robinhood

Hybrid Actively hiring Posted today Verified listing

Bellevue, WA Posted 1 day ago $161,138–$200,000 / year

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99+ other roles within 25 mi Near Bellevue, WA

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Salary context

Below market

How this pay compares to similar roles

Similar $208k

This role $181k

$152k most similar roles pay here $249k

This role pays less than 68% of similar roles. Most pay $177,253–$239,687 — the shaded band above. At the midpoint, this role pays about $181k versus about $208k for comparable roles.

Based on 240 similar postings.

Employer

About Robinhood

Robinhood is a financial technology company offering commission-free stock, ETF, options, and cryptocurrency trading through its mobile app, aimed at democratizing access to financial markets. Industry: Financial Technology & Investment App

Robinhood currently has 78 open roles on FindRole.

Listed pay typically runs $187,000–$220,000 across 77 roles with salary data.

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At a glance

TL;DR

Join the AI Research and Development team as a Machine Learning Engineer in Bellevue, WA, where you will focus on implementing and evaluating cutting-edge machine learning algorithms to solve complex problems. Your daily tasks include developing scalable models for ranking and recommendation systems using techniques like Collaborative Filtering and Learning to Rank, conducting A/B tests to assess model performance, and collaborating with cross-functional teams to integrate these solutions into the product. You’ll need proficiency in Python, SQL, XGBoost, PyTorch or TensorFlow, experience with large-scale ML applications, and a strong background in statistical analysis and data-driven decision-making. This role requires hands-on expertise in transformer-based models and reinforcement learning, as well as the ability to build reusable libraries and maintain comprehensive documentation for your work.

Skills

Python TensorFlow PyTorch XGBoost Spark Kafka Kubernetes SQL A/B Testing CI/CD Prometheus Grafana Docker PostgreSQL Redis Scikit-learn Hadoop AWS Azure

What you'll do

Evaluate cutting-edge AI and ML technologies to solve specific business problems.
Develop and implement scalable machine learning models for ranking and recommendation systems.
Design and conduct A/B tests to assess the performance of different machine learning models.
Analyze experimental data to extract actionable insights using statistical techniques.
Build reusable libraries for common machine learning practices and maintain documentation.

What we're looking for

Bachelor’s degree in Computer Science or related field and 3 years of relevant experience.
Experience with productionizing ML models for recommendations, ranking, and personalization.
Proficiency in Python, SQL, XGBoost, PyTorch, TensorFlow for developing production-ready projects.
Hands-on experience with large-scale distributed machine learning applications.
Expertise in A/B testing and rigorous statistical analysis to produce robust business outcomes.
Strong background in model development using both classical and modern ML techniques.

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