Research Scientist Intern, Large Foundation Models and Generative AI Job at Meta (Redmond)

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

Canada

Salary:

55.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...

Location

United States , Seattle

Salary:

49.00 - 75.00 USD / Hour

Atlassian

Expiration Date

Until further notice

Requirements

Completed Bachelors degree in Computer Science or a related field
Currently pursuing a PhD in Computer Science or a related field at any stage of your doctoral studies
Degree completion date cannot be earlier than September 2026 - June 2027
Strong foundation in AI/ML, LLMs, modeling and/or optimization techniques
Exhibit a solid grasp of algorithms and data structures
Demonstrate proficiency in Python programming and ability to write clean, efficient, and well-documented code
Experience working with large-scale datasets, including data preprocessing, augmentation, and scaling techniques
Has expertise in managing data using Python libraries such as NumPy, Pandas, Matplotlib, in addition to leveraging models from Hugging Face and has practical knowledge of applied machine learning and deep learning frameworks, like PyTorch
Demonstrated exposure to natural language processing (NLP) and Computer Vision (CV)
Familiarity with state-of-the-art research in machine learning and AI, as evidenced by relevant coursework, publications, or projects

Job Responsibility

Collaborate cross-functionally with Research Scientists and Machine Learning Engineers to design, implement, and evaluate experiments that advance the performance, efficiency, and scalability of modern ML and LLM systems for our AI products
Curate, preprocess, and manage large-scale datasets for training and evaluation, ensuring data quality, diversity, and reproducibility across experiments
Conduct continued training, fine-tuning, and alignment of large language models for specialized applications such as conversational AI, summarization, generative search, and multimodal agents
Evaluate cutting-edge ML algorithms through rigorous experimentation and provide detailed analyses highlighting performance insights, failure modes, and opportunities for improvement
Contribute to publications and presentations at internal workshops or top-tier academic venues, helping to drive innovation in Enterprise AI and large-scale ML systems

What we offer

health and wellbeing resources
paid volunteer days

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders

Product Marketing Manager for AI Cloud Providers and Foundation Model Builders –...

Location

United States

Salary:

Not provided

VAST Data

Expiration Date

Until further notice

Requirements

8+ years of proven experience in product or solution marketing within cloud services, AI/ML platforms, large-scale data infrastructure, data storage, operating systems, or related fields, with a strong understanding of 'as-a-Service' GTM models and/or the needs of large-scale AI research and development
Deep understanding of infrastructure for cloud service providers and/or large-scale AI training/inference clusters, including multi-tenant architectures, service orchestration, distributed computing, virtualization, containers, and unified file/object storage solutions at petabyte to exabyte scale
Familiarity with modern AI/ML data pipelines, the lifecycle of Foundation Models (data ingestion, pre-processing, training, fine-tuning, inference), and analytics workloads, and how they are delivered as cloud services or built in dedicated environments
Strong expertise in aligning complex technical solutions like the VAST AI OS with business-driven objectives for both AI Cloud Providers (e.g., service differentiation, new revenue streams, TCO reduction) and Foundation Model Builders (e.g., faster time-to-model, research breakthroughs, efficient scaling, optimized resource utilization)
Exceptional communication skills, with proven ability to articulate technical concepts clearly to both technical and business audiences
Demonstrated success developing and executing impactful marketing strategies and campaigns
Highly collaborative with a proactive approach to managing cross-functional projects
Willingness to travel for customer engagements, industry events, and internal meetings

Job Responsibility

Develop and execute strategic go-to-market plans tailored to AI Cloud Providers and Foundation Model Builders for the VAST AI OS
Craft compelling, differentiated messaging and positioning for the VAST AI OS that resonates with stakeholders at AI Cloud Providers (product management, service architects, business development) and at organizations building Foundation Models (AI researchers, MLOps engineers, data scientists, infrastructure leads)
Conduct market analysis, identifying trends, threats, and opportunities in the AI cloud services, large-scale AI model development, and underlying data infrastructure landscape, relevant to the VAST AI OS
Translate complex technical features of the VAST AI OS into clear benefits for AI Cloud Providers (service differentiation, revenue opportunities, TCO) and for Foundation Model Builders (accelerated training, reduced data management overhead, faster iteration cycles, scalable deployment)
Serve as an expert resource on architectures for AI cloud services and large-scale model development, including multi-tenancy, service orchestration, distributed training, high-performance data pipelines, and how the VAST AI OS underpins these for AI-as-a-Service and Foundation Model lifecycles, emphasizing unified file and object storage, data protection, compliance, and security
Collaborate closely with Product Management and Engineering to influence the VAST AI OS roadmap and direction based on the unique requirements of AI Cloud Providers, Foundation Model Builders, and market insights for AI services and model development
Create high-impact sales tools, presentations, reference architectures, product demonstrations, webinars, and training materials for the VAST AI OS that effectively communicate technical and business advantages to and through AI Cloud Providers, and directly to organizations building Foundation Models
Support partner development, sales teams, and direct engagement efforts with strategic responses to AI Cloud Provider opportunities, Foundation Model initiatives leveraging the VAST AI OS, and joint RFI/RFPs
Engage regularly with AI Cloud Providers and key players in the Foundation Model ecosystem to capture insights, validate VAST AI OS positioning, and foster advocacy and joint marketing opportunities
Produce influential content for the VAST AI OS including whitepapers, case studies, solution briefs, blogs, and FAQs tailored to AI Cloud Provider and Foundation Model Builder audiences and their respective customers or users

Fulltime

Applied Scientist II - AI

As an Applied Scientist II - AI for the Customer Experience Architecture team (C...

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
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

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

Senior AI Applied Scientist

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 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 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

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

Senior Principal, Machine Learning & Artificial Intelligence

Xometry is seeking a Senior Principal, Machine Learning & Artificial Intelligenc...

Location

United States , Waltham

Salary:

150000.00 - 196000.00 USD / Year

Cherry Ventures

Expiration Date

Until further notice

Requirements

Master’s or PhD in Computer Science, Machine Learning, Applied Mathematics, Electrical Engineering or related field (PhD preferred for deep generative/3D modeling emphasis)
12+ years of professional experience in machine learning, artificial intelligence, or data science roles — with several years in senior or principal capacity leading major programs
Demonstrated experience architecting and delivering large scale ML/AI solutions - end-to-end from data ingestion, feature engineering, model training, evaluation, deployment, monitoring & operations
Deep expertise in machine learning frameworks (TensorFlow, PyTorch), data engineering, model infrastructure, MLOps, cloud platforms (AWS, GCP, Azure), and scalable production systems
Experience in 3D modeling / geometry / computer vision / generative models (e.g., point-cloud processing, mesh processing, text23D, image23D, CAD/CAM integration) is highly desirable
Strong exposure to generative AI techniques (large language models, multimodal models, diffusion, GANs) and translating them into business use-cases
Excellent cross-functional collaboration skills: you can partner with product, engineering, ops, manufacturing, design, business leadership and translate technical concepts into business language
Proven ability to influence without direct authority and drive change across organizations
Strong communication and presentation skills
you can articulate technical vision, roadmap, trade-offs and outcomes to senior leadership

Job Responsibility

Serve as the technical leader of multiple large, cross-functional ML/AI solutions with significant, lasting impact across Xometry’s business
Define, and drive the 18-24-month ML/AI technical roadmap - balancing breakthrough innovation (e.g., generative 3D, foundation models, large-scale vision/3D pipelines) with reliable business value delivery (e.g., quoting accuracy, lead-time reduction, defect detection, cost optimization)
Influence partner roadmaps across engineering, product, operations, and business teams: align priorities, advise on resourcing, champion ML/AI best practices
Proactively identify and remove roadblocks for teams and projects — whether technical, operational, data-related, or resource constraints
Mentorship of individuals and technical teams
Act as a trusted SME with strong cross-functional partnerships: your insights and guidance will shape ML/AI infrastructure, data, model, infrastructure, and tooling decisions
Play a leadership role in identifying areas of opportunity — e.g., using ML/AI to unlock new revenue streams (e.g., rapid quoting for new manufacturing modalities, generative design for customers), reduce cost (e.g., automated quality inspection), or optimize efficiency (e.g., 3D-geometry classification, defect detection, generating manufacturing ready models)
Address problems adjacent to your sphere of immediate influence: proactively tackle challenges outside direct scope and champion holistic solutions
Stay ahead of industry developments in ML, AI, generative AI, 2D/3D modeling and manufacturing tech
translate insights into the improvement of internal best practices, tooling, frameworks, model governance, data pipelines, and operationalization

What we offer

401(k) match
medical, dental and vision insurance
life and disability insurance
generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave
EAP, other wellbeing resources

Fulltime

Senior AI Applied Scientist

As a Senior AI Applied Scientist for (insert specific team within BIC), you will...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

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

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

Senior AI Applied Scientist

As a Senior AI Applied Scientist for The Customer Service Applications Team, you...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 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 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.
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.

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

Research Scientist Intern, Large Foundation Models and Generative AI

Meta

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:
January 23, 2026

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