Senior ML Engineer

In a world where many social apps measure their success by time spent online, Raya is a technology company focused on providing utility. Our iOS only app is a tool for discovery of and access to exciting people, events, opportunities, and recommendations globally. We believe that by marrying great software with a membership based community built around core values of trust, creativity, and reciprocity, we can provide solutions that have heretofore been impossible.

We prioritize learning and teamwork and love giving people the opportunity to champion big challenges and grow into better versions of themselves. A great candidate is excited to grow our use of machine learning, AI, and other sophisticated algorithms to build a better user experience. Finally, they believe in Raya’s vision, which is to enrich lives by fostering relationships through quality, in person interactions.

We offer comprehensive medical and dental coverage, $50 a day food delivery budget, equity based employment, a great culture, learning opportunities, unlimited vacation, 12 weeks paid parental leave, and 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. You can see more at the bottom of our careers page: https://careers.rayatheapp.com/

As a member of Raya’s machine learning team, you will play a pivotal role in our recommendations-first experience by using your deep knowledge of machine learning and our products to create a better experience for all users. 

• 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.

• 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.
• 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).
• An analytical mindset: comfortable analyzing data and grokking complex products.