Applied Scientist

2 weeks ago

Hyderabad, Telangana, India Microsoft Full time
WWE organization in Microsoft has the mission of "Make the web work for you".

This team is comprised of several thousand software engineers working on Bing search, Edge browser, Maps, Ads, News, and other projects.

Over the years we have developed deep technical expertise in various areas - Machine learning, NLP, speech, computer vision, large scale deployments and continue to innovate and delight customers across 236 regions, 106 languages and with half a billion users.

Please watch this short video on our team which will give you an insight on why you should join us.

Bing Defensive team works in ensuring Bing users are safe.

We work on latest features on Bing Chat & Bing search to evaluate their Bias, Hateful content, Adult content, Jailbreaks.

The team trains classifier models to mitigate such issues across Bing and Microsoft Co-pilots. If Responsible AI is something which excites you, you'll find home in our team. We are the gatekeepers for any harmful content reaching users.


As a team, we leverage the diverse backgrounds and experiences of passionate engineers, scientists, and program managers to help us realize our goal of making the world smarter and more productive.

We believe great products are built by inclusive teams of customer-obsessed individuals who trust each other and work closely together.

We collaborate regularly across the company both to find the technology breakthroughs from groups like Microsoft Research to infusing AI into the rest of Microsoft products like Office.


Responsibilities:

Your responsibilities include:

  • Designing and executing offline/online experiments,
  • Advancing the state of the art of NLP technologies for real world scenarios,
  • Developing novel machine learning and data mining algorithms,
  • Designing and developing solutions to measure Defensive leakage in Bing.
  • Build data quality checks and reusable modules for the training,
  • Host ML models with productionready code,
  • Investigating and solving NLP accuracy and robustness issues across all processing chains, including model development, test and quality control, deployment, and user feedback stages.

Qualifications:

REQUIRED QUALIFICATIONS

  • Master's/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining.
  • Excited to work as part of diverse team and collaborate across geographies.
  • Prompt engineering Expertise & Strong understanding of metrics.
  • Outstanding communication and collaboration skills.

PREFERRED QUALIFICATIONS

  • Strong research and/or development experience with machine learning, NLP and data mining.
  • Experience in architecting, developing, and delivering advanced NLP projects is a strong plus.
  • Customer focused, strategic, drives for results, is selfmotivated, and has a propensity for action.
  • Fantastic problem solver: ability to solve problems that the world has not solved before.
  • Proven track record on shipping products/services with high quality.

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