Microsoft are looking for a talented Applied Scientist II at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.

Accountabilities

• Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research).

Technical skills:

• Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.

Personal attributes:

• Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.

Benefits

• Competitive salary.
• Comprehensive benefits package.
• Opportunities for professional growth and development.

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Microsoft AI are looking for an Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas.

About the Role

We seek an Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants.

Accountabilities

• Building and owning production machine learning models to improve results.
• Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• Python, C#, R, C++, Java, and SQL.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Benefits

• Competitive salary.
• Benefits and other compensation.

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Microsoft AI are looking for an Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas.

About the Role

We seek an Applied Scientist with expertise in Machine Learning, Generative AI, Agentic Modeling, Data Science, or related areas. The ideal candidate should be passionate about generative modeling, experimental prompt tuning, and large-scale modeling optimization. The candidate should have hands-on experience on working with LLMs, or SLMs such as Qwen, Llama or its variants.

Accountabilities

• Building and owning production machine learning models to improve results.
• Working hands on with SOTA generative models like Qwen, Llama, Mistral, GPT and others, to deliver big impact.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• Python, C#, R, C++, Java, and SQL.

Personal attributes:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role.

Benefits

• Competitive salary.
• Benefits and other compensation.

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Microsoft are looking for a talented Applied Scientist II at their Mountain View office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising search results page advertising technology. You'll work directly with leadership to shape the company's direction in the online advertising market.

About the Role

Our team focuses on understanding and predicting how the user interacts with the ads on the search results page. The probability that a user will click on an ad is one of the most critical inputs used in ranking the ads. Similarly, the probability of interacting with the advertiser’s page is important for measuring advertiser and user satisfaction. This position as an Applied Scientist II is for the modeling team, which builds machine learned models for predicting such events.

Accountabilities

• Designing and building efficient models for predicting user interactions with ads and advertiser’s pages.
• Designing and overseeing large-scale, long-term experiments to improve the health of the marketplace using advanced statistics and machine learning.

The Candidate we're looking for

Experience:

• Bachelor’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master’s Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• Statistical machine learning, deep learning, data mining, causal inference, information retrieval, game theory, mechanism design, optimization and Bayesian inference.

Personal attributes:

• Excellent problem solving and data analysis skills, effective communication skills, both verbal and written.

Benefits

• Competitive salary
• Comprehensive benefits package
• Opportunities for professional growth and development

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Microsoft AI are looking for a talented Applied Scientist II at their Bengaluru office. This role sits at the heart of developing cutting-edge large-scale AI services that can power the next-gen AI search. You'll work directly with the team to shape the company's direction in AI search and development.

About the Role

As an Applied Scientist II, you will be responsible for developing novel machine learning and data mining algorithms, designing and developing solutions that respond in real time, and building data quality checks and re-usable modules for the training. You will also host ML models with production-ready code, design and execute offline/online experiments, and advance the state of the art of NLP technologies for real-world scenarios.

Accountabilities

• Developing novel machine learning and data mining algorithms
• Designing and developing solutions that respond in real time

The Candidate we're looking for

Experience:

• Master's/PhD degree in CS/EE or related fields with knowledge in NLP, Machine Learning and Data Mining

Technical skills:

• Strong research and/or development experience with machine learning, NLP and data mining

Personal attributes:

• Excellent scientific thinking and execution
• Ability to drive efficient experiment definition and investigations

Benefits

• Competitive salary and benefits package
• Opportunities for professional growth and development
• Collaborative and dynamic work environment

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Microsoft AI are looking for a talented Applied Scientist II at their Redmond office. This role sits at the heart of strategic decision-making, turning market data into actionable insights for a company that's revolutionising AI technology. You'll work directly with leadership to shape the company's direction in the AI market.

About the Role

As an Applied Scientist II, you will be responsible for building and maintaining production machine learning models to generate image and text assets, multimodal representation and predict ad quality. You will find insights and form hypothesis on web-scale data with various machine learning, computer vision, feature engineering, statistical, and data mining techniques. You will design experiments, understand the resulting data, and produce actionable, trustworthy conclusions from them. You will craft and optimize prompts for effective LLM and VLM performance, and wrangle large amounts of data using various tools.

Accountabilities

• Building and maintaining production machine learning models to generate image and text assets, multimodal representation and predict ad quality.
• Finding insights and forming hypothesis on web-scale data with various machine learning, computer vision, feature engineering, statistical, and data mining techniques.

The Candidate we're looking for

Experience:

• Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 1+ year(s) related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field OR equivalent experience.

Technical skills:

• Experience with Large Language Models: Demonstrated experience working with LLMs/VLMs, such as GPT, BERT, or similar models, including knowledge of their strengths, limitations, and capabilities.
• Solid Understanding of NLP and CV: In-depth knowledge of natural language processing (NLP) and computer vision techniques and concepts, including tokenization, semantic analysis, and text generation, multimodal representation, etc.

Personal attributes:

• Experience delivering, scaling, and maintaining highly successful and innovative machine learning products with your fingerprints all over them.
• Experience in parallel or distributed processing, high performance computing, stream computing and SCOPE.

Benefits

• Competitive salary and benefits package.
• Opportunities for professional growth and development.
• Collaborative and dynamic work environment.

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