Machine Learning Engineer

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Raya is seeking a passionate Machine Learning Engineer to join our team and contribute to building a better user experience through the use of machine learning, AI, and other sophisticated algorithms. The ideal candidate is excited to grow our use of these technologies and believes in Raya’s vision of enriching lives by fostering relationships through quality, in-person interactions. We prioritize learning, teamwork, and providing opportunities for individuals to champion big challenges and grow.

Requirements

• Experience: 3+ years of experience in machine learning, recommendations/ranking systems, computer vision, multimodal representation learning, and/or natural language processing.
• Programming: Strong background in Python programming and ML frameworks like PyTorch, TensorFlow, Transformers, etc.
• Platforms & Tools: Proficiency with ML platforms and tools for model experimentation, deployment, and monitoring.
• Data Processing: Well-versed in data processing at scale, including batch/streaming pipelines and data infrastructure tools like Kubernetes, Kafka, and Spark.
• Communication: 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.

Company Information

Raya offers 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 pays all employees $1,000 a year to travel to a new location. The company values human connection, empathy, and curiosity.