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Data & AI
› Search & Recommendation ML
Search & Recommendation ML
859 open positions
Machine Learning Software Engineer (Match Group AI)
Match Group
Seoul, South Korea
2mo
Build and deploy scalable ML services and pipelines for real-time recommendation systems across Match Group's dating apps.
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Senior Machine Learning Engineer
Spotify
REMOTE
$184k–$184k
2mo
Build moment-based personalized music and podcast experiences (Home Shortcuts) for millions of listeners using recommendation systems and large language models.
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Senior Machine Learning Engineer
Grafana Labs
Remote
$154k–$154k
2mo
Building an interactive, personalized recommendation system for an in-product learning experience that helps users discover guides, actions, and product features within the Grafana observability platform.
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Senior Machine Learning Engineer
Grafana Labs
Remote
$775k–$931k
2mo
Building and operating a personalized, real-time recommendation system for an in-product interactive learning experience to help users discover guides and actions within the Grafana platform.
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Senior Machine Learning Engineer
Grafana Labs
Remote
$104k–$125k
2mo
Building an interactive, personalized recommendation system for an in-product learning experience that helps users discover guides, actions, and product features within the Grafana Cloud platform.
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Senior Machine Learning Engineer
Grafana Labs
Remote
$92k–$110k
2mo
Building an interactive, personalized recommendation system for Grafana's in-product learning experience to guide users toward guides, actions, and product features.
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Senior Machine Learning Engineer
Grafana Labs
Remote
$97k–$116k
2mo
Build and operate a personalized recommendation system for an in-product learning experience that helps users discover guides, actions, and product features within the Grafana observability platform.
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Senior Machine Learning Engineer
Grafana Labs
Remote
$83k–$100k
2mo
Lead the evolution of an interactive, in-product learning recommendation system to personalize user guides, actions, and product experiences based on real-time behavior and context.
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Machine Learning Ops Engineer - Personalization (m|w|d)
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idealo internet GmbH
Berlin, Berlin, Germany
2mo
Design and operate cloud-native ML infrastructure and pipelines to enable personalized shopping experiences, including recommendations, discovery feeds, and search ranking.
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服务端研发工程师(J86317)
Baidu
北京市
2mo
Design and optimize service architectures for map search, recommendation, and AI-driven innovation products, supporting high-reliability systems under billions of requests.
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推荐算法工程师(J90993)
Baidu
北京市,上海市
2mo
Develop retrieval and ranking systems for soft-ad heating products to improve recommendation accuracy, commercial conversion efficiency, and user experience.
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搜索内容算法工程师(J81394)
Baidu
北京市
2mo
Develop core algorithms for a massive-scale indexing and filtering system to understand, evaluate, and rank heterogeneous web content (text, video, links) to improve search product quality and efficiency.
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服务端研发工程师(J84932)
Baidu
北京市
2mo
Design and optimize service architecture for map search, recommendation, and AI-driven innovation products.
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社招推荐算法(J94625)
Baidu
北京市
2mo
Design and optimize core modules for a feed recommendation system serving hundreds of millions of users, focusing on author growth and content quality.
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视频/直播高级推荐算法工程师(J80307)
Baidu
北京市,上海市
2mo
Optimize video short drama and live streaming recommendations in the Baijiahao feed, including recall, ranking, and multi-objective fusion to enhance user experience and scale.
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AI算法工程师(J78585)
Baidu
北京市,上海市
2mo
Develop LLM algorithms for e-commerce search scenarios, including base model training, SFT, and preference alignment to enhance business outcomes like demand understanding, intelligent Q&A, content generation, and recall/ranking optimization.
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地图AI原生产品部_地图NLP、VIS 策略算法研发(J72866)
Baidu
北京市
2mo
Develop strategy algorithms for NLP and VIS to mine, identify, and classify massive internet resources, understanding and fulfilling user search needs.
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策略研发工程师(J72511)
Baidu
北京市
2mo
Develop algorithmic strategies for search and travel scenarios to deliver personalized recommendation experiences.
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视频推荐算法工程师(J81447)
Baidu
北京市
2mo
Develop core strategies for Baidu APP's video recommendation system to serve hundreds of millions of users.
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视频推荐算法工程师(J81950)
Baidu
北京市
2mo
Develop core strategies for Baidu APP's video recommendation system to serve hundreds of millions of users.
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导航策略算法工程师(J97129)
Baidu
北京市
2mo
Design and iterate core ranking/strategy models and route value/strategy models, applying multi-task, sequence modeling, and large model technologies to online decision-making and route recall systems.
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搜广推策略算法工程师(J100979)
Baidu
北京市
2mo
Develop core strategies for search, recommendation, and monetization in domestic and international cloud storage products to serve hundreds of millions of users.
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内容收录策略算法工程师(J92915)
Baidu
北京市
2mo
Research and develop core technologies for large-scale spider systems to extract and analyze valuable information from billions of web pages using NLP and large models.
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高级算法工程师(J71613)
Baidu
北京市
2mo
Optimize core engine performance for Baidu Map search, commercial search, and recommendation (CTR/CVR) using massive LBS data and AI; lead strategy iteration for local life services (hotels, food, merchants) to boost transaction scale and revenue.
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算法实习生(J91550)
Baidu
北京市
2mo
Develop algorithms for e-commerce search scenarios, including base model training, SFT, and alignment to improve business outcomes.
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数据挖掘与商业策略工程师(出海)(J69986)
Baidu
北京市
2mo
Design and develop user, product, and operation profiling systems using machine learning and deep learning to build user tags and optimize recall rates.
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推荐策略实习生(J72891)
Baidu
北京市,上海市
2mo
Develop core modules for Baidu's Feed recommendation system and apply large-scale machine learning algorithms to products serving hundreds of millions of users.
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推荐算法实习生(J94247)
Baidu
北京市
2mo
Design and implement core algorithms for a recommendation system to optimize feed delivery, content quality, and user satisfaction in a large-scale product.
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推荐算法实习生(J94647)
Baidu
北京市
2mo
Develop core strategies for Baidu APP's video recommendation system serving hundreds of millions of users.
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上海-搜广推算法工程师(J101091)
Baidu
上海市
2mo
Develop and optimize algorithms for search, recommendation, and commercial advertising systems to improve user engagement, conversion rates, and platform revenue.
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资深算法工程师(J85105)
Baidu
上海市
2mo
Designing algorithm architecture for large-scale recommendation systems and developing high-concurrency, low-latency algorithms for personalized recommendations and ad ranking.
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推荐算法工程师(J98213)
Baidu
北京市
2mo
Design and optimize core modules for a feed recommendation system serving hundreds of millions of users using large-scale machine learning and generative AI.
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Senior Founding Engineer – AI Learning Platform
Salesape-AI
UK
2mo
Architect and build a unified, self-improving Learning Platform that captures business events, measures outcomes, and continuously improves AI recommendations for SalesApe and Self-Serve Abi.
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Senior Machine Learning Engineer
JioStar
Bengaluru- We Work
2mo
Building end-to-end ML lifecycle for a recommendation engine that creates personalized home page experiences for millions of users globally.
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Machine Learning Research Engineer, App Store Search
Apple
Seattle, United States of America
2mo
Design and develop next-generation search and conversational discovery features for Apple's devices and platforms.
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Senior Product Manager, Recommendations
Match Group
New York, New York
2mo
Own the recommendation algorithm decision for millions of daters to inspire intimate connection and set up great dates.
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Machine Learning Engineer, GAI Search Relevance - Moveworks
ServiceNow
Mountain View, CALIFORNIA, us
$140k–$140k
2mo
Search relevance engineer improving a search-based question answering platform by retrieving, matching, and ranking text snippets from heterogeneous knowledge sources.
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Software Engineer, Recommendation Systems
↗
Meta
New York, NY, US
$271k–$271k
2mo
Define technical direction for large-scale ranking, retrieval, and personalization infrastructure serving billions of users across Meta platforms.
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Software Engineer, Recommendation Systems
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Meta
Bellevue, WA, US
$271k–$271k
2mo
Define technical direction for large-scale ranking, retrieval, and personalization infrastructure serving billions of users across Meta platforms.
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Senior Machine Learning Engineer
Airbnb
Remote
$200k–$200k
2mo
Building query intelligence and intent modeling for Airbnb's search and recommendation platform to connect guests with hosts.
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Senior Machine Learning Engineer, Relevance and Personalization (Query Intelligence)
Airbnb
Remote
$200k–$200k
2mo
Building query intelligence and intent modeling for Airbnb's search and recommendation platform to understand guest queries and improve match quality.
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Machine Learning Engineer III
Mapbox
Remote
2mo
Design, develop, and deliver highly trafficked recommendation systems for the routing cost engine to optimize navigation for people, packages, and vehicles.
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Senior Machine Learning Engineer
ZoomInfo
Remote-US-MA
$165k–$165k
2mo
Building the intelligence layer for ZoomInfo's data platform, focusing on recommendation systems, NLP, embedding models, and agentic workflows to enhance customer engagement and data quality.
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Staff / Sr. Machine Learning Engineer, AI, Search & Knowledge Platforms
Apple
Seattle, United States of America
2mo
Build and optimize large-scale extraction and enrichment pipelines to transform raw web data into structured knowledge powering Siri, Spotlight, Safari, and other Apple experiences.
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Senior/Staff Machine Learning Engineer, Match Team
Enigmaio
New York, NY
$180k–$180k
2mo
Building and optimizing low-latency, high-throughput search APIs, indexing pipelines, and retrieval systems to improve the relevance and scalability of customer-facing data products.
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Principal Machine Learning Engineer, Ads & Promos Delivery
Doordashusa
Sunnyvale
$269k–$269k
2mo
Lead technical direction for AI-first ranking and relevance systems that power ads and promotions delivery, shaping how ads are selected, ordered, and personalized in real time across search and discovery experiences.
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Staff Machine Learning Engineer - DashPass
Doordashusa
San Francisco
$137k–$137k
2mo
Design and develop large-scale ML/optimization systems to target personalization efforts across the DashPass Subscriber journey, including causal inference, incentive optimization, and budget allocation.
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Staff Machine Learning Engineer - League of Legends
Riotgames
Los Angeles, USA
2mo
Build applied machine learning systems to improve player experience, including personalization, in-game systems, and matchmaking for League of Legends.
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ML Software Engineering Manager - Apple Music
Apple
Cupertino, United States of America
2mo
Lead a team of ML software engineers to design, build, and ship state-of-the-art music recommendation and personalization systems for Apple Music.
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Staff Machine Learning Research Engineer, App Store Search
Apple
Seattle, United States of America
2mo
Design and develop next-generation search and conversational discovery features for Apple's ecosystem (App Store, Apple Music, Apple TV, etc.) across iOS, macOS, and other platforms.
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