Jan Pedersen Email & Phone Number

I am fractional (40% time) Chief Strategy Officer for VecML, an AI start up focused on Edge AI and Edge Computing. In particular, we are developing infrastructure tools and platforms to make Edge AI a reality on phones and PCs.

Bentonville, Arkansas, US

I lead the search and personalization technology team for Walmart ecommerce. The team consists of roughly 400 engineers and scientist working on improving the core ecommerce experience through the application of machine learning based ranking and recommender technologies.

San Francisco, California, US

I led the Connections team at Uber AI which was structured as an internal incubator for AI technologies. We managed a portfolio of projects at different stages of maturity in collaboration with Uber product teams. Projects included a Bayes optimization service, ETA prediction, graph embeddings for a recommendation service, and reinforcement-learning for.

San Jose, CA, US

Defined AI Strategy for eBay. Lead the investment in Computer Vision and Machine translation. Represented the company at Industry forums.

San Francisco, CA, US

I am leading Twitter's investment in Machine Learning infrastructure and Data Analytics.

Redmond, Washington, US

I lead the relevance team at Bing and serve as Chief Scientist for the Information and Platform Group at Microsoft.

Redmond, Washington, US

I manage the Bing Core Relevance team, which is responsible for all aspects of Bing algorithmic search quality. This includes query completion, query understanding and query rewriting, core ranking, contextual ranking and personalization, whole page optimization, metrics, data mining and experimentation infrastructure. In addition, the team is responsible.

Redmond, Washington, US

I managed the Whole Page Relevance Team; one of three relevance teams at Bing. This team was responsible for late-stage content organization and display organization, including Web result caption generation, federated answer blending, publisher-side monetization and whole page metrics development and operation. My 85 person team was distributed between.

Seattle, WA, US

I participated in the development of the 2009 operating plan for both product search and A9’s ClickRiver performance marketing product. In addition, in collaboration with a few key architects, I articulated a self-service architecture for the A9 search stack that leverages Amazon’s EC2 and S3 utility computing infrastructures and a strategy for improving.

Sunnyvale, CA, US

Initiated work on marketplace simulation and auction design for the sponsored search product. Facilitated the hiring of economists and other experts to deepen our understanding of this technology area. Co-chaired the Marketplace Design Group who defined the marketplace rules for the Panama relaunch of the sponsored search product. Co-developed Strategy for.

As the most senior technical contributor, I worked closely with the VP engineering (John Ellis) to set technical direction for the staff of 100 engineers. Helped establish and guide an advanced development group of 10 scientists who acted as a reservoir of specialized skills for the engineering organization. Chaired a Scientific Advisory Board including.

Developed and prototyped several approaches to economically scaling the Infoseek Search Service index through distributed spidering and search. Transferred the resulting technology (code name BFI) to the Search Service organization. Subsequent to the Disney acquisition of Infoseek, I as responsible for design, engineering, product management and operations.

Managed research into information access technologies. Area output included 30 patent applications and technology transfer to Xsoft: TDB text retrieval engine and trainable document summarizer. Developed the Scatter/Gather cluster-based document browsing paradigm. Developed statistical classifier technology for text categorization: participated in TREC4..

Phd, Statistics

Ab, Statistics