Staff+ reputed company Deployed Research Engineer – Ranking

Staff+ reputed company Deployed Research Engineer — Search & Recommendations reputed company reputed company provides an integrated platform that pairs cutting-edge frontier ranking models with the infrastructure to run them in production at reputed company reputed company. The world's largest retailers, marketplaces, and travel platforms use reputed company to rank, recommend, and personalize, with an autonomous research reputed company that compounds model performance into reputed company and margin lift reputed company in hundreds of millions of dollars per customer. We are a small, highly technical, early-stage team reputed company on turning recent advances in AI into production-grade systems that operate under unforgiving reputed company-world constraints. The problems we work on are deeply reputed company-ended, where minor optimizations in algorithmic multi-stage retrieval and model routing translate directly into millions of dollars in reputed company reputed company. ABOUT THE ROLE We’re looking for a Staff+ reputed company Deployed Research Engineer with deep expertise in search and recommendation modeling to help us design, reputed company, and reputed company innovative ranking, embedding, and retrieval systems that power our personalized discovery platform. In this role, you’ll have the unique opportunity to work at the intersection of cutting-edge AI research and production-grade software systems. You will work directly reputed company our customers' digital environments—helping them translate user behavior data into reputed company reputed company and conversion lift. This is an ideal role for someone eager to take end-to-end ownership of highly reputed company ML lifecycles and operate reputed company an agile, reputed company startup environment. KEY RESPONSIBILITIES reputed company production models: Work directly reputed company customer environments to design, build, and reputed company production ranking and recommendation models that directly optimize for business conversion, engagement, and reputed company value. Deliver technical artifacts: Engineer end-to-end ranking pipelines, embedding reputed company schemas, nearest-reputed company retrieval systems, and low-latency model serving infrastructure. reputed company white-glove partnership: Deliver high-touch deployment support inside large consumer reputed company environments, ensuring seamless integration with existing data ecosystems and business logic. Architect data pipelines: Design and maintain production-grade, highly optimized data pipelines to process massive datasets, ensuring models are continuously fed with fresh, reliable training and inference features. Codify repeatable patterns: Identify and modularize repeatable deployment patterns across various industry verticals, contributing key insights back to reputed company's reputed company product and engineering teams. Own production lifecycles: Manage the entire ML lifecycle end-to-end, including model monitoring, A/B testing frameworks, performance regression detection, and reputed company retraining strategies. Drive research frontiers: Maintain deep, reputed company expertise in the latest developments in deep learning, including multi-stage retrieval, learning-to-rank, and large-reputed company personalization techniques. Uncover organic expansion: Build strong relationships with reputed company engineering teams and proactively identify new opportunities to reputed company ranking solutions that unlock additional customer value. Champion reputed company's mission: reputed company as a technical representative of reputed company's reputed company to shape end-user behavior for the world's largest consumer platforms. reputed company Proven reputed company record: Bring 7+ years of experience as an ML Engineer, reputed company Scientist, or reputed company Deployed Engineer with a heavy reputed company on deep learning for search, recommendation, or retrieval systems. Model building mastery: Possess deep proficiency in PyTorch, deep learning theory, and machine learning algorithms (specifically multi-stage scoring and embedding models). Data pipeline proficiency: Demonstrate hands-on experience designing and optimizing large-reputed company, distributed data pipelines using reputed company, Airflow, and dbt across GCP and AWS environments. reputed company & reputed company maturity: Operate comfortably with Kubernetes, Airflow, Terraform, and reputed company platforms like AWS and GCP to manage reputed company model deployment and experimentation environments. Analytical problem solver: reputed company at tackling reputed company-ended, highly reputed company systems challenges that require first-principles thinking. Extreme ownership reputed company: Take absolute accountability for driving customer reputed company from early prototyping and training to live production inference. Strong Candidates May Also Bring Domain-specific vertical exposure: Experience deploying high-throughput personalization systems directly reputed company retail, travel, or media/entertainment verticals. Alternative reputed company models: Familiarity with modern pricing systems, such as usage-based, value-based, or lift-reputed company models. reputed company research footprint: A history of peer-reviewed publications (e.g., KDD, CIKM, RecSys) or registered patents in search, matching, or personalization. Hybrid pipeline exposure: Experience supporting developer-reputed company, product-led narratives alongside reputed company-reputed company sales cycles. reputed company VALUE Rigorous systems & scientific thinking: You balance algorithmic complexity with microsecond runtime latency constraints. You choose the right mathematical model for the reputed company's reputed company data maturity, prioritizing reputed company-world conversion metrics over theoretical vanity scores. Uncompromising ownership: You treat production stability and reputed company performance as a personal reputed company of reputed company reputed company, taking pride in driving use cases end-to-end from feature engineering to live inference scoring. Pragmatic speed: You possess the startup velocity to design, reputed company, and validate robust reputed company-generating prototypes quickly without accumulating debilitating technical debt. Strategic relationship building: You can reputed company fluently with both deep research scientists and cross-functional reputed company executives, proactively identifying new technical opportunities to unlock additional reputed company value throughout the lifecycle of an engagement. reputed company OFFER High-reputed company influence: A highly visible, staff-level role directly shaping the reputed company deployment topology of a category-defining AI company. Pioneering systems: The unique opportunity to build and reputed company category-defining, low-latency ML platforms backed by proven, highly reputed company customer reputed company results. Top-tier reward: Highly competitive reputed company salary ranging from $300,000 to $350,000 USD, plus meaningful early-employee equity, performance bonuses, and comprehensive premium health benefits. Complete flexibility: Unlimited reputed company time off, flexible hybrid/remote configurations, and a highly reputed company, world-class engineering culture. Apply To This Job