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Staff Backend Engineer, Recommender Systems

1 month, 1 week ago
Anywhere
Full-time
Lead
Backend Engineer
Software Development
Elasticsearch Go Machine Learning MongoDB Node.js OpenSearch PostgreSQL Python System Design
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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
View All Jobs 5

Description

  • Own the end-to-end architecture of Raya’s recommendation services while remaining hands-on in implementation.
  • Design and ship systems that address cold-start problems, real-time user signals, exposure balancing, and large-scale feature lookups.
  • Evolve ranking systems toward scalable multi-stage architectures, including embedding-based retrieval and graph-aware ranking where appropriate.
  • Serve as the primary technical liaison between Data Science, Product, and Infrastructure teams.
  • Translate complex algorithmic requirements into scalable backend services.
  • Conduct deep-dive design reviews and establish best-practice standards for backend patterns.
  • Mentor Senior Engineers in recommender systems best practices and help raise the engineering bar across the organization.
  • Ensure reliability of mission-critical recommendation loops with low-latency inference and high availability during peak global traffic.
  • Partner with Product and Data Science to implement offline and online experiments.
  • Balance short-term engagement, long-term retention, and marketplace health in ambiguous decision-making contexts.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent real-world expertise.
  • 8+ years of software development experience.
  • At least 3 years of experience focused specifically on recommender systems in a production environment.
  • Deep practical experience with collaborative filtering, content-based filtering, and hybrid recommendation models.
  • Experience with two-stage architectures, including candidate generation and ranking.
  • Expert-level proficiency in Golang, Node.js, or Python.
  • Experience building or operating high-throughput discovery, search, or recommendation systems in production.
  • Advanced knowledge of Postgres, MongoDB, and ElasticSearch/OpenSearch, including performance tuning for high-concurrency discovery features.
  • History of shipping platforms that have scaled to millions of users.
  • Experience designing and implementing A/B tests in marketplace or interference-prone environments.

Benefits

  • Remote, full-time engineering role.
  • Salary range of $220,000 to $300,000 per year.
  • Opportunity to work on a high-impact recommendation platform at a pivotal growth stage.
  • Use of AI tools in parts of the hiring process, with final hiring decisions made by humans.

Interested in this position?

Apply directly on the company website

Apply Now

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