Senior Machine Learning Engineer
Description For Senior Machine Learning Engineer
Robinhood Markets is seeking a Senior Machine Learning Engineer to join their Applied Machine Learning team. The role focuses on implementing and evaluating machine learning algorithms, particularly in ranking and recommendation systems. Key responsibilities include model development, A/B testing, data analysis, cross-functional collaboration, and building reusable ML libraries. The ideal candidate will have 5+ years of applied ML experience, with a strong focus on recommendations, ranking, and personalization. They should be proficient in Python, SQL, XGboost, and PyTorch/TensorFlow, with experience in Spark, Kafka, and Kubernetes being desirable. The role offers competitive compensation, comprehensive benefits, and the opportunity to work on impactful projects in the fintech sector. Robinhood values diversity and provides equal opportunities for all applicants.
Responsibilities For Senior Machine Learning Engineer
- Develop and implement scalable machine learning models focusing on advanced 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
- Work closely with other engineering teams, data scientists, and the marketing team to integrate machine learning models into the product
- Build reusable libraries for common machine learning practices
- Maintain comprehensive documentation of libraries, models, experiments, and findings
Requirements For Senior Machine Learning Engineer
- 5+ years of applied ML experience productionizing ML models with 2+ years focused on recommendations, ranking or personalization projects
- 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, multi-objective optimization, and reinforcement learning
- Proficiency in Python, SQL, XGboost, PyTorch/TensorFlow
- Experience with Spark, Kafka, and Kubernetes is desirable
- Ideally have experience in the Finance sector
Benefits For Senior Machine Learning Engineer
- 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
- 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
- Lively office environment with catered meals, fully stocked kitchens, and geo-specific commuter benefits
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