Data & Applied Scientist II - Bing Local Team

Interested to utilize your data and applied science skills to influence and shape the product that millions of users use worldwide? Do you want to work on the intersection of artificial intelligence, local business, a data platform, a consumer ecosystem? Do you want to innovate on how users find local places & services and scale that to different surfaces with AI infused experiences? Then this role is for you, in the Bing Maps & Local team, as we make Microsoft Bing the most AI centric search offering.   This is a unique role that lets you innovate and evolve the consumer search space. 

 

We are seeking a Data & Applied Scientist 2 to join Bing Local team.

 

If you share our passion for building innovative products and utilizing the power of AI and machine learning in large-scale real-world situations for the benefit of our customers, we would love to consider your application.  

 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

In this role you will:

• Driving projects from design through implementation, experimentation and finally shipping to our users.
• Working on multi-modal Large Language Models (LLMs) and utilizing and fine-tuning small language models to scale experiences globally and in multiple languages.
• Own development of state-of-the-art machine learning, deep learning algorithms and techniques leveraging text, images, and video for analyzing and transforming content to build world-class search and information retrieval products that have the potential to transform millions of people’s lives.
• Working in a diverse geographically distributed team environment where collaboration and innovation are valued. You will have an opportunity for direct impact on design, functionality, security, performance, scalability, manageability, and supportability of Microsoft products that use our technology. 

Qualifications

Required Qualifications: 

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND Considerable experience experience in the following (e.g., statistics, predictive analytics, research)
  • OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field  inbdustry related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field
  • OR equivalent experienc
  • Considerable  industry experience coding in (but not limited to) C++, C#, C, Java or Python 

 

Preferred Qualifications:

• A Bachelor’s/Master’s/Ph.D degree in Computer Science, Electrical Engineering or other related technical areas (including mathematics and physics) 
• Proven track recrd in experience in applying deep learning techniques and/or drive end-to-end AI product development (Search, Recommendation, NLP, Document Understanding, etc). 
• Experience with common machine learning, deep learning frameworks like Pytorch/Tensorflow 
• These are other experiences and preferred qualifications that may help a person succeed in this role
• Ability to communicate technical details clearly across organizational boundaries.  
• Ability and effectiveness working end-to-end in a challenging technical problem domain (plan, design, execution, continuous release, and service operation) 
• Experience with shipping internet scale, low latency and high throughput systems AI products 
• Self-driven, results oriented, high integrity, ability to work collaboratively, solve problems with groups, find win/win solutions and celebrate successes 
• Customer/End-result/Metrics driven in design and development. 
• Keen ability and motivation to learn, enter new domains, and manage through ambiguity 
• Publication track records at top conferences like ACL, EMNLP, SIGKDD, AAAI, WSDM, COLING, WWW, NIPS, ICASSP, etc.

 

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