Senior Applied Scientist

1 Month ago • 4-8 Years • Artificial Intelligence

Job Summary

Job Description

Microsoft's Bing multimedia group seeks a Senior Applied Scientist to contribute to the development and improvement of video search products across Bing, Edge, and Windows. This role involves designing, developing, evaluating, and deploying machine learning models focusing on search engines and recommendation systems. Responsibilities include working with global teams, leveraging state-of-the-art models, improving key metrics, and collaborating on large-scale machine learning systems. The ideal candidate will have expertise in deep learning, NLP, information retrieval, and experience with large-scale search engine products.
Must have:
  • Strong impact in search engine/recommendation systems
  • Familiar with search stack & recommendation algorithms
  • E2E ML development cycle experience
  • Experience in search engine, recommendation systems, or deep learning
  • Proficiency in Python, C++, or C#
  • Excellent communication & collaboration skills
  • MS/PhD in Computer Science or related field
Good to have:
  • Experience with large-scale search engine products
  • Familiarity with LLM/ChatGPT
  • Experience with Hadoop/Spark
  • Experience with PyTorch or TensorFlow
Perks:
  • Industry-leading healthcare
  • Educational resources
  • Discounts on products and services
  • Savings and investments
  • Maternity and paternity leave
  • Generous time away
  • Giving programs
  • Networking opportunities

Job Details

Overview

Do you like working on technology problems which impact people on a global scale? Are you interested in creating brand new collaborative experiences by state-of-the-art machine learning models for a rapidly evolving and expanding machine-learning empowered products? 

Bing multimedia group in web-experiences organization is responsible for developing global image & video feeds, search and browsing experiences in Bing, and also contributes to Windows, Edge, Azure, MSN, etc., which is the largest vertical in Bing to contribute DAU & engagements, we are a global team with offices in Beijing, Suzhou, as well as Bellevue/USA, Canada & Europea, and with flexible work spaces and work time.

Video search team in Bing multimedia group is accountable for all the video products in Microsoft, including Bing video search, and video feeds in Edge browser, Windows, Bing, as well as related-videos that empower all the contents in web-experiences organization, Bing web search results, news feeds, shopping products. Video product is one shinning rapidly growing product in Microsoft, enabled in 100+ markets in the world, we are leveraging state-of-the-art LLM techniques to build modern and future video search products!

We are hiring talented, highly motivated applied scientists with expertise in search engine, and recommendation system, deep learning, natural language processing, information retrieval, computer vision, reinforcement learning, data mining, and large-scale distributed computation.  

Qualifications

tracking records of delivering strong impacts in search engine, recommendation system, it’s a plus to have strong experiences in large scale search engine products;

- familiar with common search stack, recommendation algorithms, query, user & content understanding, recall/ranking/exploration models;

-familiar with the roadmaps/strategies to grow search, feeds quality, engagements/users, monetization;

- familiar with e2e machine learning development cycle, from model measurements / training/ evaluation, to optimization/deployment, etc.; 

- Experiences in one of these domains: search engine, recommendation systems, computer vision, deep-learning, natural language processing; 

- Experiences in one of these training frameworks: Pytorch, Tensorflow, etc., and LLM/ChatGPT is a plus;

- Experiences in one of these programming languages: Python, C++, C#, etc.; 

- Experiences in big data mining, familiar with Hadoop/Spark is a plus; 

- Solid Communication/Collaboration skills to work with team members across global; 

- MS/PhD degree in Computer Science or a related discipline. 

 

Responsibilities

You will be self-driven and accountable for search engine, recommendation system problems, collaborating with partners within the team or distributed globally, leveraging the state-of-the-art models and strategies to improve our metric driven targets. as a member of our team you will design, develop, evaluate & deploy machine learning models, as well as corresponding metrics/measurements, online & offline pipelines, and integrate into production runtimes. You need to closely work together with our top machine learning scientists/researchers nearby and remotely,  build our core machine learning horsepower,  contribute to billion scale machine learning systems, and improve our video products(including video search, video feeds, related videos, etc.) in Microsoft Bing & Windows & Edge, etc...

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
Industry leading healthcare
Educational resources
Discounts on products and services
Savings and investments
Maternity and paternity leave
Generous time away
Giving programs
Opportunities to network and connect

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