CrawlJobs Logo

Research Intern - Algorithms group: Generative Modeling

https://www.microsoft.com/ Logo

Microsoft Corporation

Location Icon

Location:
United States , Redmond

Category Icon

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

5610.00 - 11010.00 USD / Month

Job Description:

Research Internships at Microsoft provide a dynamic environment for research careers with a network of world-class research labs led by globally-recognized scientists and engineers, who pursue innovation in a range of scientific and technical disciplines to help solve complex challenges in diverse fields, including computing, healthcare, economics, and the environment. The Algorithms group at MSR Redmond is looking for Research Interns to advance research in generative modeling. Opportunities include fundamental algorithmic innovation to enhance the efficiency and generation quality of existing models (e.g., diffusion models, image auto-regressive models, language models) and the design of next-generation generative modeling techniques.

Job Responsibility:

  • Research Interns put inquiry and theory into practice. Alongside fellow doctoral candidates and some of the world's best researchers, Research Interns learn, collaborate, and network for life.
  • Research Interns not only advance their own careers, but they also contribute to exciting research and development strides.
  • During the 12-week internship, Research Interns are paired with mentors and expected to collaborate with other Research Interns and researchers, present findings, and contribute to the vibrant life of the community.

Requirements:

  • Currently enrolled in a master's or PhD program in Computer Science, Mathematics, Electrical Engineering, or a related STEM field.
  • Research Interns are expected to be physically located in their manager's Microsoft worksite location for the duration of their internship.
  • You'll need to submit a minimum of two reference letters for this position as well as a cover letter and any relevant work or research samples.

Nice to have:

  • Publications at top theoretical CS or ML conferences (NeurIPS, ICML, ICLR, etc.) or top journals.
  • Familiarity with frameworks such as PyTorch.
  • Experience with training large foundation models such as diffusion models, image auto-regressive models, and large language models.
What we offer:

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

Additional Information:

Job Posted:
April 23, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Research Intern - Algorithms group: Generative Modeling

Research Scientist Intern, Computer Vision - Video Intelligence

The Video Intelligence team is seeking highly motivated Research Interns to join...
Location
Location
United States , Menlo Park
Salary
Salary:
7650.00 - 12134.00 USD / Month
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Electrical Engineering, or related field with a focus on generative modeling, computer vision, or machine learning
  • Programming experience in Python and hands-on experience in deep learning frameworks such as PyTorch
  • Experience working on generative models e.g. diffusion models, LLM, autoregressive transformers, etc
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Job Responsibility
Job Responsibility
  • Conduct research on advanced topics in video generation and understanding, including but not limited to text-to-video generative models, image-to-video generative models, video understanding models, unified native video generative models
  • Design, implement, and evaluate novel algorithms and model architectures
  • Collaborate closely with researchers and engineers across the Video Intelligence group and broader GenAI teams
  • Contribute to publications in top-tier conferences and journals in AI, computer vision, and machine learning
  • Present findings and share insights that help shape both ongoing research and future directions
Read More
Arrow Right

Research Scientist Intern, Video & Image Generation

The XR Tech Research team is seeking highly motivated Research Interns to join u...
Location
Location
Switzerland , Zurich
Salary
Salary:
Not provided
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently pursuing a PhD in Computer Science, Electrical Engineering, or related field with a focus on machine learning, computer vision, or generative modeling
  • Strong research background with publications (or submissions) in top conferences such as CVPR, NeurIPS, ICLR, ICCV, ICML, or SIGGRAPH
  • Proficiency in deep learning frameworks such as PyTorch or TensorFlow
  • Solid understanding of generative models (diffusion models, GANs, VAEs, autoregressive transformers, etc.)
  • Strong programming skills and ability to work with large-scale datasets and compute infrastructure
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Job Responsibility
Job Responsibility
  • Conduct research on advanced topics in video and image generation, including but not limited to generative diffusion and transformer architectures, spatio-temporal modeling, and multimodal integration
  • Design, implement, and evaluate novel algorithms and model architectures
  • Collaborate closely with researchers and engineers across the XR-Tech group and broader FAIR/GenAI teams
  • Present findings and share insights that help shape both ongoing research and future directions
Read More
Arrow Right

Research Intern, Video & Image Generation

The XR Tech Research team is seeking highly motivated Research Interns to join u...
Location
Location
Israel , Tel Aviv
Salary
Salary:
Not provided
meta.com Logo
Meta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently pursuing a PhD in Computer Science, Electrical Engineering, or related field with a focus on machine learning, computer vision, or generative modeling
  • Strong research background with publications (or submissions) in top conferences such as CVPR, NeurIPS, ICLR, ICCV, ICML, or SIGGRAPH
  • Proficiency in deep learning frameworks such as PyTorch or TensorFlow
  • Solid understanding of generative models (diffusion models, GANs, VAEs, autoregressive transformers, etc.)
  • Strong programming skills and ability to work with large-scale datasets and compute infrastructure
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
Job Responsibility
Job Responsibility
  • Conduct research on advanced topics in video and image generation, including but not limited to generative diffusion and transformer architectures, spatio-temporal modeling, and multimodal integration
  • Design, implement, and evaluate novel algorithms and model architectures
  • Collaborate closely with researchers and engineers across the XR-Tech group and broader FAIR/GenAI teams
  • Contribute to publications in top-tier conferences and journals in AI, computer vision, and machine learning
  • Present findings and share insights that help shape both ongoing research and future directions
Read More
Arrow Right

Senior AI Applied Scientist

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ 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 3+ years related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate 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 equivalent experience
  • 1+ years of experience with generative AI OR LLM/ML algorithms
  • 1+ research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques
  • 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
Job Responsibility
  • Bringing the State of the Art to Products
  • 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
  • Leveraging Research in real-world problems
  • Fulltime
Read More
Arrow Right

Applied Scientist II - AI

As an Applied Scientist II - AI for the Customer Experience Architecture team (C...
Location
Location
United States , Redmond
Salary
Salary:
100600.00 - 199000.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
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 Large Language Model (LLM)/Machine Learning algorithms
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
Job Responsibility
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
Read More
Arrow Right

Senior AI Applied Scientist

As a Senior AI Applied Scientist for (insert specific team within BIC), you will...
Location
Location
United States , Redmond
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in computer science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research
  • OR Master’s degree AND 3+ years of experience
  • OR PhD AND 1+ year of experience
  • 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
  • This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter
Job Responsibility
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, and 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
Read More
Arrow Right

Senior Researcher - Foundations of Generative AI

Microsoft Research AI Frontiers lab is seeking applications for the position of ...
Location
Location
United States , New York
Salary
Salary:
119800.00 - 234700.00 USD / Year
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Doctorate (or currently pursuing) in Computer Science or relevant field OR equivalent experience
  • Doctorate in Computer Science or relevant field AND 2+ years related research experience OR equivalent experience
  • Research program demonstrated by public artifacts like models, tools, code in the AI space or publications at conferences: NeurIPS, ICML, ICLR, ACL, NAACL, CVPR, COLT, ECCV, ICCV, EMNLP
  • 2+ years of academic or industry experience in developing, applying, and/or implementing algorithms for machine learning/statistics, using common ML engineering programming languages and platforms such as Python, Python numerical libraries, PyTorch, TensorFlow and/or HuggingFace
  • Experience publishing academic papers as a lead author or essential contributor in a top AI conference or journal
  • Deep understanding of frontier model architectures, especially transformers and state space models
  • Hands-on experience building and working with Large Language Models (LLMs) or multimodal models (VLMs, VLAs), including pre-training, fine-tuning, and inference
  • 2+ years of industry or academic experience with building, debugging and optimizing large-scale ML training pipelines
  • Demonstrated software engineering excellence building and deploying prototypes, applications, or open-source (OSS) technologies
  • Ability to work independently and ramp-up quickly on complex projects or unfamiliar code
Job Responsibility
Job Responsibility
  • Apply research and engineering skills to develop, prototype, and evaluate cutting-edge research ideas
  • Work closely with other researchers and engineers to rapidly prototype and test new research ideas, driving a high-impact agenda and publishing results where appropriate
  • Collaborate hands-on with other researchers, engineers, and internal and external product groups to deliver high-impact solutions to real-world problems
  • Embody our culture and values
  • Fulltime
Read More
Arrow Right

Senior Applied AI Engineer

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.microsoft.com/ Logo
Microsoft Corporation
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor’s degree in Computer Science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND 4+ years of experience in AI/ML, predictive analytics, or research
  • OR Master’s degree AND 3+ years of experience
  • OR PhD AND 1+ year of experience
  • 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
  • Microsoft Cloud Background Check
Job Responsibility
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
  • Proven programming expertise (e.g., in Python or leveraging AI-first IDEs and SWE agents), with a strong record of building reliable, well-documented research code that drives rapid experimentation, scalable evaluation, and efficient deployment from prototype to production in applied AI research
  • 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
  • Fulltime
Read More
Arrow Right