- Amazon (Sunnyvale, CA)
- …Tech takes you! Key job responsibilities - Develop ML models for various recommendation & search systems using deep learning, online learning, and optimization ... methods - Work closely with other scientists, engineers and product managers to expand the depth of our product insights with data, create a variety of experiments to determine the high impact projects to include in planning roadmaps - Stay up-to-date with… more
- Amazon (Sunnyvale, CA)
- …Key job responsibilities - Develop AI solutions for various Prime Video Recommendation /Search systems using Deep learning, GenAI, Reinforcement Learning, and ... takes you! We are looking for a self-motivated, passionate and resourceful Sr. Applied Scientists with Recommender System or Search Ranking or Ads Ranking experience… more
- Meta (Menlo Park, CA)
- …and we have various start dates throughout the year. **Required Skills:** Research Scientist Intern, Modern Recommendation Systems (PhD) Responsibilities: 1. ... organization.Meta is seeking Research Interns to join our "Modern Recommendation Systems " (MRS) AI Innovation Center. This...cases 2. Conduct original research that can eventually be applied to Meta product development, engage with the wider… more
- Amazon (Sunnyvale, CA)
- …search system to support RAG applications across Amazon. We are looking for a Applied Scientist with expertise in information retrieval (IR) and ranking to join ... this might be the role for you! As a Applied Scientist , you will work with smart,...- 3+ years experience in building ML-based search or recommendation systems at scale - Publications at… more
- Amazon (Sunnyvale, CA)
- …technology teams are redefining the digital video experience at scale. As a Principal Applied Scientist at Prime Video, you will be a technical and strategic ... demands a unique blend of deep technical expertise in machine learning and recommendation systems , industry leadership, and strong collaboration skills. You will… more
- Amazon (Palo Alto, CA)
- …experience in generative AI, large language models (LLMs), information retrieval, and ads recommendation systems . Using a combination of generative AI and online ... - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++,...numpy, scipy etc. - Experience with large scale distributed systems such as Hadoop, Spark etc. Amazon is an… more
- Wayfair (Mountain View, CA)
- …ML frameworks while staying up to date with cutting-edge research in recommendation systems . + Drive innovation by identifying opportunities to improve ... and drive data-driven decisions. Nice to have + Experience developing core recommendation systems for eCommerce, marketplaces, or streaming platforms. +… more
- SLAC National Accelerator Laboratory (Menlo Park, CA)
- Associate Staff Scientist - MFX Instrument Job ID 6547 Location SLAC - Menlo Park, CA Full-Time Temporary **SLAC Job Postings** **Position overview:** SLAC National ... hard x-ray free electron laser, seeks an Associate Staff Scientist to take a leading role in the support...and names of five references for future letters of recommendation with the application. Review of applications will begin… more
- SLAC National Accelerator Laboratory (Menlo Park, CA)
- Associate Staff Scientist - Ultrafast Methods and Metrology Job ID 6550 Location SLAC - Menlo Park, CA Full-Time Temporary **SLAC Job Postings** **Position ... Laboratory is seeking a highly skilled and enthusiastic staff scientist to facilitate and lead research at the forefront...and names of five references for future letters of recommendation with the application. Review of applications will begin… more
- SLAC National Accelerator Laboratory (Menlo Park, CA)
- Associate Staff Scientist - Ultrafast Structural Dynamics Job ID 6522 Location SLAC - Menlo Park, CA Full-Time Temporary **SLAC Job Postings** **Position Overview:** ... SLAC National Accelerator Laboratory is seeking an Associate Staff Scientist to join the Material Science group within the Science, Research and Development (SRD)… more
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