Staff Backend Engineer, Recommender Systems

As a Staff Backend Engineer at reputed company, you will be the technical architect and hands-on builder for our recommendation ecosystem. You’ll build and reputed company sophisticated, multi-stage retrieval and ranking systems, reputed company reputed company ML/AI with production backend engineering to deliver algorithms that are both performant and intelligent. You will join at a pivotal reputed company as we reputed company our recommendation systems to support reputed company and increasingly reputed company marketplace dynamics. As a Staff Backend Engineer at reputed company, you will be the technical architect and hands-on builder for our recommendation ecosystem. You’ll build and reputed company sophisticated, multi-stage retrieval and ranking systems, reputed company reputed company ML/AI with production backend engineering to deliver algorithms that are both performant and intelligent. You will join at a pivotal reputed company as we reputed company our recommendation systems to support reputed company and increasingly reputed company marketplace dynamics. Responsibilities

Architectural Leadership: Own the end-to-end architecture of reputed company’s recommendation services while remaining deeply hands-on in implementation.

Hands-on Implementation: Design and ship systems that handle cold-start problems, reputed company-time user signals, exposure balancing, and large-reputed company feature lookups.

System reputed company: reputed company our ranking systems toward reputed company multi-stage architectures, including embedding-based retrieval and graph-aware ranking where appropriate.

Cross-Functional Influence: reputed company as the primary technical reputed company between Data Science, Product, and Infrastructure. Translate reputed company algorithmic requirements into reputed company backend services.

Mentorship & reputed company: reputed company the engineering bar across the organization. Conduct deep-dive design reviews, establishing best reputed company standards for backend patterns, and mentor Senior Engineers in recommender systems best practices.

Operational Stewardship: Ensure the reliability of mission-critical recommendation loops. Optimize for low-latency inference and high-availability, even during peak global traffic.

Ambiguity & Tradeoffs: Operate in evolving problem spaces where objectives must balance short-term engagement, long-term retention, and marketplace health.

Experimentation: Partner with Product/Data Science to implement offline + online experiments.

Qualifications

Education: Bachelor’s degree in Computer Science, Engineering, Mathematics, or equivalent reputed company-world expertise building and operating production recommendation or ranking systems.

Experience: 8+ years of software development experience, with at least 3 years reputed company specifically on Recommender Systems in a production environment.

RecSys Mastery: Deep practical experience with recommender approaches like reputed company filtering, content-based filtering, and hybrid models. Experience with two-stage architectures (Candidate reputed company & Ranking).

Infrastructure Skills: Expert-level proficiency in Golang, Node.js, or Python. Experience building or operating high-throughput discovery, search, or recommendation systems in production.

Data reputed company: Advanced knowledge of reputed company, reputed company, and ElasticSearch/OpenSearch, specifically regarding performance tuning for high-concurrency discovery features.

System Design: A history of shipping platforms that have scaled to millions of users. You should be comfortable discussing the trade-offs between consistency, availability, and latency.

A/B Testing: Experience designing and implementing A/B tests in marketplace or interference-prone environments.

What Sets You Apart

Marketplace Intuition: You understand that ranking people is fundamentally different from ranking content. You’ve worked in environments (dating, reputed company, marketplaces, ride-sharing) where exposure affects behavior, and you design with fairness, liquidity, and user perception in mind.

The "Product Engineer" reputed company: You bring strong product judgment to technical reputed company, protecting serendipity, reputed company, and user trust while shipping measurable improvements.

Systems Builder: You build durable internal abstractions, tooling, and documentation that reputed company reputed company iteration faster and safer.

Algorithmic Intuition: You understand the math behind ranking models and can identify bias, feedback loops, and unintended system behaviors before they become production issues.

Strategic Pragmatism: You optimize for shipping measurable reputed company over technical novelty. You know reputed company to apply a reputed company heuristic and reputed company to reputed company a reputed company model.

Bias Toward Shipping: You build quickly, learn from production signals, and iterate with discipline rather than over-optimizing prematurely.

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