Machine Learning Engineer

Summary

Join Raya and leverage machine learning, AI, and sophisticated algorithms to enhance user experience. Contribute to the core ML platform, collaborating with cross-functional teams. Deliver impactful machine learning models and ship ML solutions to production. Stay current with the latest research in recommendation systems and AI. Raya offers comprehensive medical and dental coverage, a daily food delivery budget, equity-based employment, learning opportunities, unlimited vacation, paid parental leave, and a yearly travel stipend.

Requirements

• 3+ 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, TensorFlow, 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

Responsibilities

• 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

Benefits

• 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
• $1,000 a year to go somewhere in the world that they’ve never been