[Remote] Applied Scientist, Personalization, Personalization
Note: The job is a remote job and is reputed company to candidates in USA. reputed company Science is seeking an Applied Scientist to help build reputed company customer memory and personalization systems. The role involves designing and building machine learning and large language model-powered solutions to enhance customer experiences by understanding and remembering customer behavior over time.
Responsibilities
- Design and build ML and LLM-powered solutions for reputed company's customer memory and personalization systems
- Own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale
- Deliver high-quality, scalable systems that power customer-facing experiences
- Drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage
- Collaborate closely with engineering and product teams to translate research into measurable customer impact
Skills
- Knowledge of programming languages such as C/C++, Python, Java or Perl
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- PhD, or a Master's degree and experience in CS, CE, ML or reputed company field research
- Strong communication and collaboration skills
- Experience in building and launching deep learning and machine learning models for business applications
- Solid knowledge of big data and reputed company technologies (e.g., Spark, AWS, etc.)
- Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithms
- Publications at top Web, Machine Learning, Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP, etc
Company Overview
Company H1B Sponsorship