Remote Senior ML Engineer

Summary

Join Raya as a Machine Learning Engineer and play a pivotal role in creating better user experiences by building machine learning and AI products that drive personalized recommendations. Collaborate with various teams, stay updated with industry trends, and enjoy comprehensive benefits including medical and dental coverage, food delivery budget, equity based employment, unlimited vacation, 12 weeks paid parental leave, and more.

Requirements

• 5+ years of experience in machine learning with a proven track record of shipping successful products. Experience with recommendation systems is a big plus
• Strong Python and SQL knowledge; ability to write clean, well-documented code
• Experience with high-scale software applications (distributed data, Spark, kubernetes) and rigorous testing/QA
• Familiarity with a broad range of common ML frameworks/libraries (e.g. PyTorch, Tensorflow, Scikit-learn, XGBoost, etc)
• Experience with cloud platforms and services, such as AWS and GCP, particularly their ML, data, and compute services

Responsibilities

• Build machine learning and AI products that drive personalized recommendations
• Collaborate with Product and Analytics to gain a deep understanding of our products and thoughtfully design the best solutions
• Collaborate with Backend and Data Engineers to help build out our ML platform, ensuring scalability, efficiency, and robustness of our systems
• Use practical experience to know when straightforward heuristics and rules are more effective than deploying full-scale ML/AI solutions
• Contribute to the continuous learning culture at Raya by staying updated with industry trends and knowledge sharing with the team

Preferred Qualifications

Familiarity with modern ML tooling and operations is a big plus, e.g. ML platforms (SageMaker, Databricks), MLOps tools (MLFlow, Kubeflow, W&B), and feature stores (Tecton, Feast)

Benefits

• Comprehensive medical and dental coverage
• $50 a day food delivery budget
• Equity based employment
• Great culture
• Learning opportunities
• Unlimited vacation
• 12 weeks paid parental leave
• We pay all employees $1,000 a year to go somewhere in the world that they’ve never been because of our values of human connection, empathy, and curiosity