CrawlJobs Logo

Research Scientist Intern, Language & Multimodal Foundations

United States, Menlo Park 7650.00 - 12134.00 USD / Month · Job Posted February 16, 2026
Apply Position
Job Link Share

Job Description

Meta is seeking Research Interns to join the Multimedia Perception team in the Applied Research org of Meta Superintelligence Labs. These teams are committed to advancing the field of Artificial Intelligence by making fundamental advances in technologies to help interact with and understand our world. Our interns have an opportunity to make core algorithmic advances and apply their ideas at an unprecedented scale. Our teams are looking for candidates with expertise in the Natural Language Processing & Multimodality domains, such as: natural language understanding and generation, audio and understanding, multi-modal language models, dialogue, cross-lingual and cross-domain transfer learning, and computer vision. Our team at Meta AI offers twelve (12) to twenty-four (24) weeks long internships and we have various start dates throughout the year.

Job Responsibility

  • Perform research that enables learning the semantics of data (specifically text, audio, images, video, and other modalities)
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Draft and polish research publications
  • Present research outcomes to internal and/or external audiences
  • Contribute research that can be applied to Meta product development

Requirements

  • Currently has or is in the process of obtaining a PhD degree in the field of Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Artificial Intelligence, or equivalent
  • Research and/or work experience in Natural Language Processing, Speech Processing, Computer Vision, Machine Learning, Deep Learning, or equivalent
  • Experience in Python, C++, or other related languages
  • Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment

Nice to have

  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Speech & Language (ACL, EMNLP, NAACL, TACL, ICASSP, Interspeech, SLT, ASRU, TASLP)
  • Experience advancing AI techniques in Natural Language Processing, including contributions to open source libraries and frameworks in Speech & Language
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops or conferences in Computer Vision (CVPR, ECCV, ICCV) or Machine Learning (NeurIPS, ICML, ICLR)
  • Experience advancing AI techniques in Computer Vision and/or Machine Learning
  • Experience manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
  • Experience in utilizing theoretical and empirical research to solve problems
  • Experience working and communicating cross functionally in a team environment
  • Intent to return to degree-program after the completion of the internship/co-op

Looking for more opportunities?

Search for other job offers that match your skills and interests.

Similar Jobs for

Research Scientist Intern, Language & Multimodal Foundations

8 matching positions

Research Scientist Intern, Multimodal Foundations

Meta is seeking Research Interns to join Fundamental AI Research (FAIR) working ...
Location
Location
United States , Bellevue
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 PhD degree in the field of Computer Vision, Natural Language Processing, Machine Learning, Artificial Intelligence, or relevant technical field
  • Research and/or work experience in Computer vision
  • Research and/or work experience in Natural Language Processing
  • Research and/or work experience in Machine Learning or Deep Learning
  • Experience in Python, C++, or other related languages and with PyTorch framework
  • 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
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Draft and polish research reports and/or publications
  • Present research outcomes to internal and/or external audiences
  • Contribute research that can be applied to Meta product development
Read More
Arrow Right

Research Scientist Intern, Real-Time Multimodal AI

Reality Labs is building the future of connection through world-class AR/VR hard...
Location
Location
United States , Burlingame
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 PhD degree in Computer Science, Machine Learning, Electrical Engineering, or a related field
  • 2+ years of research experience in one or more of the following areas: multimodal learning, vision-language models, large language models, or foundation model fine-tuning
  • Hands-on experience fine-tuning large foundation models (e.g., LLaVA, InternVL, Qwen-VL, LLaMA, or similar)
  • Strong programming skills in Python
  • Experience with deep learning frameworks such as PyTorch
  • Excellent communication skills and ability to work independently
  • 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
  • Research and develop novel approaches for fine-tuning large multimodal foundation models (vision-language, audio-visual) for real-time applications
  • Design and implement efficient inference pipelines for deploying fine-tuned models in real-time communication scenarios
  • Explore agentic architectures that leverage fine-tuned models as tools within larger AI systems
  • Collaborate with cross-functional teams to integrate models into prototype experiences
  • Document and present research progress with the goal of publishing findings at top-tier ML/CV conferences
  • Contribute to building working prototypes that demonstrate the capabilities of fine-tuned multimodal models
Read More
Arrow Right

Research Scientist Intern, AI Research - CoreML - World Models

Meta is seeking Research Interns to join the SAM team in the Multimedia Percepti...
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 PhD degree in Computer Vision, Machine Learning, Artificial Intelligence, or relevant technical field
  • Research and/or work experience in Generative Modeling and Computer Vision. In particular: video generation, 3D/4D reconstruction, video and image understanding, vision-language foundation models, representation learning, and related areas
  • Research and/or work experience in Machine Learning or Deep Learning with applications to perception
  • Experience in Python, C++, or other related languages
  • 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
  • Perform research to advance the science and technology of generative AI
  • Perform research that enables learning to predict and condition on multimodal data (video, 3D structures, primarily images, text, and other modalities like audio)
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Contribute to ongoing research projects and impactful technology releases
  • Draft and polish research publications
  • Present research outcomes to internal and/or external audiences
Read More
Arrow Right

Research Scientist Intern, AI Research - World Models

Meta is seeking Research Interns to join the SAM team in the Multimedia Percepti...
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 PhD degree in Computer Vision, Machine Learning, Artificial Intelligence, or relevant technical field
  • Research and/or work experience in Generative Modeling and Computer Vision. In particular: video generation, 3D/4D reconstruction, video and image understanding, vision-language foundation models, representation learning, and related areas
  • Research and/or work experience in Machine Learning or Deep Learning with applications to perception
  • Experience in Python, C++, or other related languages
  • 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
  • Perform research to advance the science and technology of generative AI
  • Perform research that enables learning to predict and condition on multimodal data (video, 3D structures, primarily images, text, and other modalities like audio)
  • Brainstorm with research mentors, review literature and existing solutions of a challenging real-world research problem
  • Develop novel solutions, implement prototypes, and perform extensive experiments to test the proposed solutions in meaningful benchmarks and metrics, analyze the results and verify the conclusions
  • Contribute to ongoing research projects and impactful technology releases
  • Draft and polish research publications
  • Present research outcomes to internal and/or external audiences
Read More
Arrow Right

Staff Research Scientist - VLM / VLA

At General Motors, our product teams are redefining mobility. Through a human-ce...
Location
Location
United States , Mountain View
Salary
Salary:
218800.00 - 335300.00 USD / Year
gm.com Logo
General Motors
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Ph.D. in Machine Learning, Robotics, Computer Science, Electrical Engineering, or a related technical field
  • 5+ years of experience in AI/ML research and applied development
  • Deep expertise in modern ML architectures (transformers, generative AI, multimodal systems)
  • Strong programming skills in Python
  • Excellent communication, collaboration, and mentoring abilities, comfortable influencing technical strategy and guiding ML excellence across the organization
Job Responsibility
Job Responsibility
  • Research, design, and prototype advanced Vision-Language Models and Vision-Language-Action foundational models tailored for real-time semantic understanding and behavioral prediction in autonomous driving
  • Drive the technical strategy for onboard model optimization, leading initiatives in model quantization, pruning, knowledge distillation, and compilation to ensure high-parameter models execute with ultra-low latency on vehicle edge hardware
  • Advance multimodal alignment techniques, ensuring seamless integration of camera, radar, LiDAR, and textual/logical prompts into unified foundational architectures
  • Influence technical roadmaps and shape strategic machine learning priorities that align with safety requirements, core product milestones, and next-generation vehicle launches
  • Provide technical mentorship and long-term vision to a multidisciplinary group of machine learning engineers, software developers, and hardware specialists
  • Foster internal innovation by collaborating closely with perception, planning, and infrastructure teams to integrate foundational models into the core autonomous software stack
  • Represent the company externally to the global scientific community by publishing original research, securing patents, and presenting at top-tier artificial intelligence and robotics conferences
What we offer
What we offer
  • Medical
  • dental
  • vision
  • Health Savings Account
  • Flexible Spending Accounts
  • retirement savings plan
  • sickness and accident benefits
  • life insurance
  • paid vacation & holidays
  • tuition assistance programs
  • Fulltime
Read More
Arrow Right
New

Senior Applied Scientist

Frontier Tuning is Microsoft’s AI customization platform that enables enterprise...
Location
Location
United Kingdom , Multiple Locations
Salary
Salary:
74700.00 - 122600.00 GBP / 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 advanced 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 solid related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND some related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
  • Experience contributing to research, open‑source systems, or production deployments involving model training or adaptation
  • Ability to meet Microsoft, customer and/or government security screening requirements are required for this role
  • Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter
  • Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND extensive related experience (e.g., statistics, predictive analytics, research)
  • OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND advanced related experience (e.g., statistics, predictive analytics, research)
  • OR equivalent experience
Job Responsibility
Job Responsibility
  • Design and develop methods to adapt foundation models (e.g., language, diffusion, or multimodal models) for enterprise‑specific tasks such as document understanding, workflow automation, or content generation
  • Contribute to one or more aspects of the post-training stack, including: Reinforcement learning or fine-tuning methods
  • Architectural or parameter‑efficient adaptation techniques
  • Inference‑time steering or controllability approaches
  • Tooling for evaluation, debugging, or model development
  • Privacy- or security‑preserving training techniques (e.g., differential privacy)
  • Harnesses
  • Implement and evaluate adaptation approaches under real‑world enterprise deployment constraints such as latency, safety, privacy, policy compliance, and compute efficiency
  • Partner with research and engineering teams to translate product or customer requirements into scalable model adaptation solutions
  • Explore post‑training techniques that improve domain specialization, tool use, planning, or agentic behaviors in enterprise environments
  • Fulltime
Read More
Arrow Right

Senior Data Scientist

Do you thrive on solving complex problems, uncovering insights, and shaping inno...
Location
Location
United States , Multiple Locations
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 in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
  • Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
  • OR equivalent experience.
  • Proven consulting and stakeholder engagement skills with proven ability to influence decisions.
  • Proficiency in Python and SQL
Job Responsibility
Job Responsibility
  • Own end-to-end delivery of strategic data science projects
  • partner with customers and internal teams to design and implement advanced analytics and AI solutions that create measurable business impact
  • Own delivery of complex, high-impact data science and AI solutions for strategic consulting engagements
  • Collaborate with stakeholders to define business problems and translate them into actionable AI-driven solutions
  • Develop project plans, assess risks, and ensure alignment with strategic objectives and ethical AI principles
  • Identify opportunities to leverage generative AI for business transformation and innovation
  • Acquire, clean, and prepare large datasets for modeling
  • Build and deploy predictive and prescriptive models using modern machine learning techniques
  • Design, develop, and integrate generative AI applications (e.g., text, image, multimodal) into client workflows and solutions
  • Write efficient, maintainable code and ensure scalability for production environments
  • Fulltime
Read More
Arrow Right

Senior Research Engineer

As a Senior Research Engineer at Microsoft, you will advance Microsoft’s mission...
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 or related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience
  • Proficiency in Python and at least one deep learning framework such as PyTorch, JAX, or TensorFlow
  • Experience deploying Fine Tuned LLMs or multimodal models in live production environments
  • Experience shipping and maintaining production AI systems
  • Ability to meet Microsoft, customer and/or government security screening requirements
  • 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
  • Design and implement AI systems using foundation models, prompt engineering, retrieval-augmented generation, multi-agent architectures, and classic ML
  • Fine-tune large language models on domain-specific data and evaluate via offline and online methods such as A/B testing, telemetry, and shadow deployments
  • Build and harden prototypes into production-ready services using robust software engineering and MLOps practices
  • Drive original research and thought leadership (whitepapers, internal notes, patents)
  • convert insights into shipped capabilities
  • Research Translation: Continuously review emerging work
  • identify high-potential methods and adapt them to Microsoft problem spaces
  • ML Design & Architecture: Own end-to-end pipeline from data prep, training, evaluation, deployment, and feedback loops
  • Identify and resolve model quality gaps, latency issues, and scale bottlenecks using PyTorch, or TensorFlow
  • Operate CI/CD and MLOps workflows including model versioning, retraining, evaluation, and monitoring
  • Fulltime
Read More
Arrow Right