Sr. Data Scientist, Recommendations - Palo Alto, CA

Job summary · We are seeking a Senior Data Scientist to join our team at Tinder. The successful candidate will have experience in data-driven insights and be able to make informed decisions through analysis of member behavior and trends. They will also have strong product sense a ...

We are seeking a Research Scientist who can drive new research ideas from conception and experimentation through to productionisation. In this rapidly shifting landscape, we regularly invent novel solutions to open-ended problems. · ...

+About UsOur team operates at the frontier of modern recommender systems. · +Research and develop key technologies such as Semantic IDs, generative retrieval/ranking, large user modelsBuild prototypes to demonstrate the "art of the possible" for recommendation systems using the n ...

Our team operates at the frontier of modern recommender systems. With a proven track record of innovating and deploying novel deep learning algorithms and systems at scale. Our research explores user & item tokenizations, continued pre-training, and advanced fine-tuning technique ...

We are currently focused on building the next-gen Large Recommendation Models by bridging the gap between LLMs and complex behavioral signals. · ...

We're seeking an AI Research intern to join our Video Recommendations team within Facebook. You'll work primarily with video content and optimize our system to provide users with engaging and high-quality content. · Perform research to advance intelligent machines · Develop NLP a ...

Meta's Feed Recommendation team within Facebook seeks Research Interns to join their organization. Interns will participate in framing practical challenges into rigorous machine learning problems and build innovative solutions under the guidance of researchers and software engine ...

Meta is seeking Research Interns to join our Feed Recommendation team within Facebook. · This org is directly in charge of recommending all sorts of contents to users the time they open the app, · and thus always gets the first-hand experience of critical pain points to solve. · ...

We are seeking Research Interns to join our Feed Recommendation team within Facebook. · This org is directly in charge of recommending all sorts of contents to users the time they open the app, · and thus always gets the first-hand experience of critical pain points to solve. · ...

Meta is seeking AI Research interns to join our Video Recommendations team within Facebook. Videos (Reels, long videos, and Live streams) are increasingly the formats of choice across the social media industry. · Perform research to advance the science and technology of intellige ...

We are seeking Research Interns to join our Meta Recommendation Systems (MRS) Research org. Our interns will have the opportunity to perform cutting-edge research on AI for Recsys with the potential to have an impact at Meta's scale. · We contribute to the mission of connecting u ...

· Initiate and lead efforts towards long-term ambitious research goals, while identifying intermediate milestones in the area of recommendation systems and models, user and content understanding and multi-modal (video, audio, and text) LLM analysis for classification and relevan ...

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Meta is seeking Research Interns to join our Feed Recommendation team within Facebook. This org is directly in charge of recommending all sorts of contents to users the time they open the app. · Perform research to advance the science and technology of intelligent machines · Deve ...

We are seeking Research Interns to join our Meta Recommendation Systems (MRS) Research. This newly created org brings together a world-class team of AI Research Scientists and Engineers. · ...

Meta is seeking Research Interns to join our Modern Recommendation Systems (MRS) AI Innovation Center. This org brings together a world-class R&D team of researchers, developers, and engineers. · ...

We are seeking a Staff engineer to architect and lead the feature engineering ecosystem for large-scale recommendation and personalization systems. · ...

As a Data Scientist at Capital One, you'll be part of a team that's leading the next wave of disruption at a whole new scale. · ...

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database. · We are pioneering the next generation of personalized customer experience ...

We are seeking an Applied Scientist to join our Prime Video Personalization and Discovery organization. As an Applied Scientist in this role you will develop AI solutions for Prime Video Personalization; work closely with engineers and product managers to design, implement and la ...