Senior Machine Learning Engineer

Senior Machine Learning Engineer

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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.

• Design and implement machine learning models to power highly personalized experiences throughout the Raya app.
• Work in a high-impact environment with rapid development and product iteration.
• Contribute to core ML platform components for scalable model training, deployment, and productionization.
• Collaborate closely with cross functional stakeholders in data science, product management, and other engineering teams to shape roadmaps and initiatives.
• Stay up-to-date with the latest research and advancements in recommendation systems and AI.

• 5+ years of experience in machine learning, recommendations/ranking systems, computer vision, multimodal representation learning, and/or natural language processing.
• Proven track record of delivering machine learning models with business impact and shipping ML solutions to production.
• Strong background in Python programming and ML frameworks like PyTorch, Tensor Flow, Transformers, etc.
• Proficiency with ML platforms and tools for model experimentation, deployment, and monitoring.
• Well-versed in software engineering design patterns, principles, architectures, and operations.
• Experience with data processing at scale, including batch/streaming pipelines and data infrastructure tools like Kubernetes, Kafka, and Spark.
• Excellent verbal and written communication skills with the ability to communicate complex topics to technical and non-technical stakeholders.

Not Applicable

Full-time

Engineering and Information Technology

Technology, Information and Internet

Los Angeles, CA | $–$ | Posted: 1 month ago