Raya

Raya

Raya is a global community platform fostering human connections through technology, offering a trusted space to find partners, friends, and collaborations worldwide.

Internet Software & Services
51-250
Founded 2015

Description

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

Requirements

  • 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 such as PyTorch, TensorFlow, and Transformers.
  • 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 and streaming pipelines and infrastructure tools such as Kubernetes, Kafka, and Spark.
  • Excellent verbal and written communication skills for technical and non-technical stakeholders.

Benefits

  • $180,000 - $250,000 annual salary.
  • Comprehensive medical and dental coverage.
  • $50 per day food delivery budget.
  • Equity-based employment.
  • Unlimited vacation.
  • 12 weeks of paid parental leave.
  • $1,000 per year to travel somewhere new.
  • Learning opportunities and a strong team-oriented culture.

Interested in this position?

Apply directly on the company website

Apply Now

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