Applied Scientist II

Applied Scientist II / Senior Applied Scientist

The CoreAI Platform and Tools organization is building transformative experience...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science, Computational Linguistics, or related field AND 2+ years related experience (e.g., statistics, predictive analytics, research)
OR Master's Degree in Computer Science, Computational Linguistics, or related field AND 1+ year(s) related experience
OR Doctorate in Computer Science, Computational Linguistics, or related field
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements
Microsoft Cloud Background Check

Job Responsibility

Conduct supervised fine-tuning of LLMs, applying Reinforcement Learning from Human Feedback in the process, and conducting thorough evaluation of those
Work with tech lead on the design and implementation of Agent adversarial evaluations and safety mitigations, enabling agent creators to identify potential risks and apply appropriate safeguards to ensure the safety and security of Agents
Collaborate closely with the Responsible AI engineering team to deliver these mitigations at scale for Responsible AI customers, refine existing implementations based on operational performance, and troubleshoot and resolve end-to-end issues

Fulltime

Applied AI Engineer II

Microsoft Dynamics 365 powers mission-critical business operations across the gl...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
OR equivalent experience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Apply both software engineering and AI experience to build intelligent, scalable solutions that power Dynamics 365 services used globally
Collaborate with cross-functional teams to deliver high-impact features aligned with enterprise standards and cloud-scale requirements
Design and develop highly usable, scalable application capabilities, integrating AI models and enhancing existing features to meet evolving customer needs
Build and debug production-grade code in distributed systems
Translate business requirements into AI solutions, collaborating with data scientists, product managers, and engineering teams to ensure alignment and impact
Optimize AI model performance and reliability in production environments, including retraining, evaluation, and continuous monitoring
Own architecture, strategy, and execution of AI-powered features across Dynamics 365 Sales and Service, ensuring technical alignment with Microsoft’s cloud-scale services and AI platform direction
Design and deliver production-ready AI solutions that leverage large language models (LLMs), natural language understanding, speech, and real-time reasoning to improve agent productivity and customer satisfaction
Lead complex technical initiatives, including AI model integration, platform scalability, reliability, and long-term maintainability
Collaborate with applied scientists, product managers, and UX teams to translate customer needs into intelligent capabilities that deliver measurable business value

Fulltime

AI Applied Scientist II

As a Applied Scientist II - AI for The Customer Service Applications Team, you w...

Location

United States , Redmond, WA

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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
1+ years of experience with Generative AI OR LLM/ML algorithms
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role

Job Responsibility

Collaborate with product and business teams to deliver impactful AI solutions using advanced techniques like foundation models, prompt engineering, and multi-solution architectures
Fine-tune AI models with domain-specific data, evaluate and monitor their performance, and rapidly prototype and deploy AI systems
Support MLOps by translating research into production-ready applications, maintaining clear documentation, and sharing insights
Proactively address ethical, privacy, and security risks to ensure responsible AI development throughout the lifecycle
Design, develop, and integrate generative AI solutions using deep understanding of language models, deep learning, and optimization techniques to solve business problems
Prepare and analyze data for machine learning, identify optimal features, and address data gaps using modern frameworks and state-of-the-art models
Ensure scalability and performance of AI solutions, continuously monitor model behavior, and adapt to evolving data streams

Fulltime

Applied Researcher II (AI Foundations)

At Capital One, we are creating trustworthy and reliable AI systems, changing ba...

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

262500.00 - 326800.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
PhD focus on NLP or Masters with 5 years of industrial NLP research experience
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
Publications in deep learning theory
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
PhD focused on topics related to optimizing training of very large deep learning models
Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
Experience optimizing training for a 10B+ model

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal insights from data
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments into the next generation of customer experiences
Translate the complexity of your work into tangible business goals

What we offer

Performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
Comprehensive, competitive, and inclusive set of health, financial and other benefits that support total well-being

Fulltime

Applied Researcher II (AI Foundations)

At Capital One, we are creating trustworthy and reliable AI systems, changing ba...

Location

United States , New York; San Francisco; San Jose; Cambridge; McLean

Salary:

262500.00 - 326800.00 USD / Year

Capital One

Expiration Date

Until further notice

Requirements

Currently has, or is in the process of obtaining, PhD in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields, with an exception that required degree will be obtained on or before the scheduled start date plus 2 years of experience in Applied Research or M.S. in Electrical Engineering, Computer Engineering, Computer Science, AI, Mathematics, or related fields plus 4 years of experience in Applied Research
PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields
PhD focus on NLP or Masters with 5 years of industrial NLP research experience
Multiple publications on topics related to the pre-training of large language models (e.g. technical reports of pre-trained LLMs, SSL techniques, model pre-training optimization)
Member of team that has trained a large language model from scratch (10B + parameters, 500B+ tokens)
Publications in deep learning theory
Publications at ACL, NAACL and EMNLP, Neurips, ICML or ICLR
PhD focused on topics related to optimizing training of very large deep learning models
Multiple years of experience and/or publications on one of the following topics: Model Sparsification, Quantization, Training Parallelism/Partitioning Design, Gradient Checkpointing, Model Compression
Experience optimizing training for a 10B+ model

Job Responsibility

Partner with a cross-functional team of data scientists, software engineers, machine learning engineers and product managers to deliver AI-powered products that change how customers interact with their money
Leverage a broad stack of technologies — Pytorch, AWS Ultraclusters, Huggingface, Lightning, VectorDBs, and more — to reveal the insights hidden within huge volumes of numeric and textual data
Build AI foundation models through all phases of development, from design through training, evaluation, validation, and implementation
Engage in high impact applied research to take the latest AI developments and push them into the next generation of customer experiences
Flex your interpersonal skills to translate the complexity of your work into tangible business goals

What we offer

performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being

Fulltime

As an AI Applied Scientist 2 for CXA, you will play a pivotal role in advancing ...

Location

India , Bangalore

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field, OR Master’s degree OR PHD AND 3+ years of experience working with machine learning libraries to solve real world data science problems
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings:  Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Job Responsibility

Build collaborative relationships with product and business groups to deliver AI-driven impact
Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques.
Fine-tune foundation models using domain-specific datasets.
Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis.
Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps.
Contribute to papers, patents, and conference presentations.
Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs.
Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts.
Demonstrate deep expertise in AI subfields (e.g., deep learning, Generative AI, NLP, muti-modal models) to translate cutting-edge research into practical, real-world solutions that drive product innovation and business impact.
Share insights on industry trends and applied technologies with engineering and product teams.

Fulltime

Applied Scientist II

Microsoft 365 Copilot is a groundbreaking productivity tool that leverages the p...

Location

United States , Redmond

Salary:

100600.00 - 199000.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

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
Problem solving and data analysis skills, with expertise in developing or applying predictive analytics, statistical modelling, data mining, or machine learning algorithms
Leadership skills to influence others, with the ability to understand team dynamics, retain, attract, and develop team members
Grounded in growth mindset, and advocate for diversity and inclusion
Proficiency in Python and relevant ML libraries (e.g., PyTorch)
Experience with transformer-based models (e.g., GPT, Llama)
Technical background in coding and design, specifically in the development of AI models for scaled production services

Job Responsibility

Research and develop an understanding of the state-of-the-art tools, technologies, and methods being used in the research community and product groups
Advance research agenda through one or more projects, yielding new algorithms, prototypes, theories, tools, methods, or collections of data
Drive the team's strategic vision and align it with the overall company objectives
Collaborate with stakeholders to define project goals, success criteria, and deliverables

Fulltime

Software Engineer II - Backend

The Microsoft Intelligent Cloud Health (MICH) team builds intelligent systems th...

Location

India , Hyderabad

Salary:

Not provided

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
3–5 years of experience building and deploying large-scale backend services
Solid expertise in one or more of the following: C#, Java, Python, or similar modern languages
Solid problem-solving skills, with a passion for debugging and improving system resilience
Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter

Job Responsibility

Design and build intelligent systems that power the future of cloud reliability and consistency at global scale
Apply expertise in distributed systems, applied AI, and large-scale data engineering to transform large volumes of observability data, operational metadata, and system configuration information into actionable insights
Contribute to design, implementation, and technical direction, with opportunities to mentor and grow depending on your experience
Partner with applied scientists, product managers, and ML engineers within MICH and across Microsoft to bring AI-forward solutions from concept to production
Work on challenges that inspire creativity, deep technical skill, and collaboration, all while expanding your expertise and delivering reliability and trust to hundreds of millions of M365 customers worldwide

Fulltime

Applied Scientist II - AI

Microsoft Corporation

Location:
United States , Redmond

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Job Description:

Job Responsibility:

Requirements:

Nice to have:

Additional Information:

Job Posted:
February 17, 2026

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