14,986 recommendation jobs at 3,895 companies in United States
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Tech Lead, Recommendation Infrastructure
San Jose, California, United States
$245k-$588k/yrOnsiteFull Time
TikTok: Global short-form video hosting and social media platform.
5+ YOE1+ MgmtBachelor's in CS or related,5+ years building large-scale distributed systems,1+ year technical leadership,proficient in C/C++,Java,Python,and experience in recommendation,search,ads,ML infrastructure or big data.
Tiger Analytics: Provides AI and advanced analytics consulting for global enterprises.
8+ YOE8+ years in data science/ML (3+ years in recommendation systems), production Python and SQL, experience with Databricks, Azure, GCP, demonstrated leadership, strong communication and stakeholder influence.
Python, SQL, Databricks, Azure, Google Cloud Platform (GCP)
MetaNASDAQ: META: Develops social networking platforms and virtual reality technologies.
12+ YOEBachelor's in CS or equivalent,12+ years building production recommendation/ranking systems,experience defining architecture for large-scale ML,leading cross-organizational initiatives,and deploying ML models to production.
UpworkNASDAQ: UPWK: Online marketplace connecting businesses with independent professionals.
Senior engineering leader with strong experience delivering search/recommendation systems, distributed systems, data pipelines, and ML infrastructure; proven people leadership and cross-functional partnership.
Sekai: AI-powered interactive platform for creating and playing mini-apps.
5+ YOE5+ years building production ML systems with ownership of recommendation/search/ranking; experience with two-tower models, embedding retrieval, candidate generation, experimentation, strong engineering and product intuition.
RedditNYSE: RDDT: Social platform for community-driven discussion and content sharing.
10+ YOESenior staff ML engineer with 10+ years in large-scale search and recommendations; proficient in Python and Golang; experience deploying ML models and LLMs in production; strong retrieval/ranking expertise.
Machine Learning Engineer, Next-Generation Recommendation Systems
New York City or Bellevue or Mountain View
$127k-$191k/yrOnsiteFull Time
UnityNYSE: U: Provides software for creating real-time 3D interactive content.
PhD in CS/ML/Statistics (graduating 2026 or recent), strong research in recommender/RL/LLM/alignment, experience with large-scale ML systems, fluency in Python and ML frameworks, strong communication and publication record.
Machine Learning Engineer, E-commerce Recommendation Foundation - USDS
San Jose, California, United States
$137k-$360k/yrOnsiteFull Time
TikTok USDS Joint Venture: Operates and secures TikTok services for U.S. users.
Strong ML and deep learning foundation, proficiency in Python and PyTorch, experience with large-scale recommendation or model training, research mindset for LLMs/multimodal/reinforcement learning.
2+ YOEPhD or equivalent research experience; 2+ years in LLM post-training algorithms/infrastructure with JAX; proven research track record and publication experience; strong communication and critical thinking.
AMDNASDAQ: AMD: Designs and manufactures computer processors and graphics technology.
Product management experience (cloud/infrastructure/SaaS preferred); strong understanding of public cloud (Azure, AWS, Google Cloud); ability to work with engineering, marketing, and business teams; strong communication and partner engagement skills.
Research Scientist Graduate (ML Recommendation Systems) - 2026 Start (PhD)
San Jose, California, United States
OnsiteFull Time
ByteDance: Developing AI-driven content platforms and mobile applications.
5+ YOEPhD in CS or related field, 5+ years experience with Python/C++ and deep learning, expertise in recommendation models, experience deploying end-to-end ML pipelines.
Staff Research Scientist (AdTech/Recommendation Systems)
San Mateo, California, United States
$200k-$300k/yrHybridFull Time
Cognitiv: Deep learning platform for predictive advertising and media buying.
5+ YOEStaff-level ML researcher/engineer with 5–7+ years in ML R&D or applied ML; deep learning and LLM expertise; production ML experience; strong Python and software engineering skills; collaborative communicator.
Principal Data Scientist - Recommendation & Personalization Systems
McLean or New York City or San Jose
$162k-$201k/yrOnsiteFull Time
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
3+ YOEAdvanced quantitative degree and multi-year analytics experience (Bachelor+5, Master+3, or PhD), expertise in Python/ML, experience with AWS, Spark, SQL; strong communication and product orientation.
Castleberry ISD: Provides public K-12 education services to students in Texas.
Enrolled in a university teacher preparation program working toward certification; co-teach and plan with host teacher; willing to receive feedback and participate in professional development.
Distinguished Machine Learning Engineer, Customer Intelligence and Recommendation
Palo Alto, California, United States
$150k-$300k/yrOnsiteFull Time
GEICO: Provides vehicle and property insurance services to consumers.
4+ YOE2+ MgmtBachelor's or Master’s in CS/Engineering/AI-ML, 4+ years hands-on ML in production, 3+ years in decision intelligence, 2+ years software engineering management, leadership experience managing teams of ≥7, strong communication and cross-functional collaboration.
2+ YOE5+ Mgmt5+ years in people leadership or program management; 2+ years in Pharma/Biotech; Bachelor's degree; proven BI/ML/tools; lean/agile mindset; servant leader.
BI tools, ML/AI toolsets, data visualization tools
Otter.ai: AI-powered meeting transcription and automated note-taking platform.
5+ YOE5+ years in search/recommendation systems; Masters in CS; Python and/or C++; experience with LLMs and RAG; strong problem solving and communication.
AppleNASDAQ: AAPL: Designs and sells consumer electronics, software, and online services.
Drive innovation for Ads Recommendations, understand ad network behavior, develop and prioritize multi-domain technical roadmaps, and lead engineering teams to deliver features.