CrawlJobs Logo

Research Intern, AI Systems and Machine Learning

meta.com Logo

Meta

Location Icon

Location:
United States , Sunnyvale

Category Icon
Category:
Research and Development

Job Type Icon

Contract Type:
Not provided

Salary Icon

Salary:

7650.00 - 12134.00 USD / Month
Save Job
Save Icon
Apply Position

Job Description:

Meta is seeking Research Interns to join Monetization Ranking & AI Foundations where we strive to serve the best personalized ads to people, maximizing their personal utility and advertiser value. We are committed to making fundamental advances in machine learning systems, core algorithmic and system hardware-software co-design, and infrastructures that enable and advance AI technologies. Our internships are twelve (12) to sixteen (16), or twenty-four (24) weeks long and we have various start dates throughout the year.

Job Responsibility:

  • Conduct state-of-the-art research to advance the science and technology of Machine Learning Systems and Infrastructures in various technology areas, e.g., ranking and retrieval systems, distributed training/inference optimizations
  • Contribute to research that leads to innovations in scalable machine learning systems, resource-efficient AI and neural network architectures for data and algorithm scaling, memory/communication and energy-efficient AI systems, and hardware/software co-design, AI-driven compiler, system design and performance optimization, etc.
  • Analyze and improve efficiency, scalability, and stability of corresponding deployed algorithms
  • Collaborate with researchers and engineers across varied disciplines, including communicating research plans, progress, and results
  • Publish research results and contribute to research that can be applied to Meta product development

Requirements:

  • Currently has or is in the process of obtaining a Ph.D. degree in Machine Learning, Systems, Artificial Intelligence, Computer Science, or related fields
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment
  • Experience with Python, C++, C, or other related languages
  • Experience in real-system implementations (e.g., GPU, NPU)
  • Experience building systems based on machine learning and/or deep learning methods

Nice to have:

  • Intent to return to the degree program after the completion of the internship/co-op
  • Proven track record of achieving significant research results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as NeurIPS, ICML, ICLR, MLSys, ISCA, ASPLOS, CGO, PLDI, PACT, HPCA, MICRO, or similar
  • Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
  • Demonstrated experience and self-driven motivation in solving analytical problems using quantitative approaches
  • Experience working and communicating cross functionally in a team environment

Additional Information:

Job Posted:
January 29, 2026

Icon
Meta - All Job Offers
Job Link Share:
Copy Link Icon
Facebook Icon Twitter Icon LinkedIn Icon

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

Briefcase Icon

Similar Jobs for Research Intern, AI Systems and Machine Learning

Machine Learning Research Scientist

This role focuses on cutting-edge research and development in Artificial Intelli...
Location
Location
United States , Milpitas
Salary
Salary:
117500.00 - 270000.00 USD / Year
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • PhD in Computer Science, Electrical Engineering, or related fields focusing on Machine Learning for the dissertation
  • extensive experience in deep learning research, preferably in Large Language Models or Reinforcement Learning
  • experience developing applications with deep learning frameworks like PyTorch with a high software proficiency
  • strong programming skills in Python, data structures, and algorithms are required
  • experience with ML model optimization, GPU acceleration, heterogeneous computation, system software, and performance optimization desired
  • experience in Python Web Frameworks – Django, Flask - a plus but not required.
Job Responsibility
Job Responsibility
  • conducting research, developing solutions, and creating intellectual property in emerging fields like reinforcement learning, LLMs, digital twins, clean energy, data center optimization, and sustainability
  • developing advanced technologies for analysis, optimization, time series forecasting, uncertainty quantification, and control
  • providing thought leadership, collaborating internally and externally, and contributing to HPE’s strategy by identifying emerging technologies
  • publishing in top conferences like NeurIPS, AAAI, and ACL
  • developing patent applications
  • software development, GPU acceleration, model optimization, and real-time data streaming to create robust AI solutions for real-world use cases.
What we offer
What we offer
  • a competitive salary and extensive social benefits
  • diverse and dynamic work environment
  • work-life balance and support for career development
  • health and wellbeing programs
  • personal and professional development programs
  • diversity, inclusion, and belonging initiatives.
  • Fulltime
Read More
Arrow Right

AI Research Lab Research Associate

We are currently seeking highly qualified interns to accelerate research towards...
Location
Location
United States , Milpitas
Salary
Salary:
43.27 - 93.15 USD / Hour
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
May 26, 2026
Flip Icon
Requirements
Requirements
  • Pursuing PhD degree (or other degree with significant research and innovation experience) in a relevant discipline (e.g. machine learning, computer science, electrical engineering, math, statistics, etc.)
  • Track record of world-class innovative contributions and ideas in machine learning
  • Experience with innovative solution development, such as developing proofs-of-concept, first-of-a-kind solutions, and/or technology transfer
  • Experience in deep learning research
  • Experience in developing deep learning software with high proficiency in data structures and algorithms
  • Strong programming skills and experience with Python, C/C++, and preferably Java
  • Software development experience in Deep Learning, GPU acceleration, and Model Optimization
  • Experience in Deep Learning and Machine Learning frameworks and models like Tensorflow, PyTorch
  • Experience in Transformer Neural Network architectures for Generative AI and natural language processing
  • Experience with Agentic AI and Generative AI workflows - desired
Job Responsibility
Job Responsibility
  • Conduct research and come up with solutions with a fast turnaround time
  • Build the software and applications for Neural Networks and Machine Learning
  • Work with system programming, Deep Learning frameworks and models, GPU acceleration, Model optimization, real-time streaming data, distributed computing, and deployment
  • Provide thought leadership and technical influence both internally and externally to HPE
  • Collaborate with HPE Labs research teams as well as external partners
  • Work in alignment with HPE's broader innovation community.
What we offer
What we offer
  • Health & Wellbeing benefits including physical, financial and emotional wellbeing support
  • Personal and professional development programs
  • Unconditional inclusion and flexibility to manage work and personal needs.
  • Fulltime
Read More
Arrow Right

Machine Learning Engineering Intern

At Cresta, the Knowledge Assist (KA) team develops AI solutions for the contact ...
Location
Location
Canada , Toronto
Salary
Salary:
45.00 - 70.00 USD / Hour
cresta.com Logo
Cresta
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Currently pursuing a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field
  • Proficiency in Python and familiarity with at least one deep learning framework (e.g., PyTorch, TensorFlow)
  • Strong understanding of machine learning fundamentals and generative modeling
  • Ability to design and analyze experiments involving large-scale datasets
  • Work authorization in the country of employment at the time of hire
Job Responsibility
Job Responsibility
  • Design, develop, and deploy Cresta’s KA solutions and proprietary models
  • Focus on practical AI challenges such as improving reasoning, and evaluation in real-world scenarios
  • Collaborate with cross-functional teams including front-end and back-end software engineers to integrate KA solutions into Cresta’s customer solutions
  • Lead initiatives to scale AI systems for production environments, ensuring performance and reliability across use cases
  • Contribute to solving cutting-edge problems in AI and help define the future roadmap for Cresta’s KA
  • Innovate and research ways to improve security, cost-efficiency, and reliability of AI systems
What we offer
What we offer
  • Lunch can be expensed (up to $25) while working in the office
  • PTO: 4 days
  • Compensation for this position includes a base salary, equity, and a variety of benefits
Read More
Arrow Right

AI Research Engineer - Reinforcement Learning

At Helsing we deliver AI-based capabilities and the enabling infrastructure that...
Location
Location
Germany , Munich
Salary
Salary:
Not provided
helsing.ai Logo
Helsing
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Hold MSc in machine learning with a speciality in either reinforcement learning, multi-agent systems, automation and control, or robotics
  • Have excellent communication skills and the ability to report and present research findings clearly and efficiently both internally and externally
  • Are passionate about keeping up-to-date with current research and enjoy reimplementing / extending papers on state-of-the-art Deep Learning-based approaches
  • Possess solid software engineering skills, writing clean and well-structured code in Python and/or languages like Rust, Java, or modern C++, and experience deploying AI software to production including testing, QA, and monitoring
Job Responsibility
Job Responsibility
  • Design, train and deploy agents in complex multi-agent environments
  • Contribute to our reinforcement learning stack by implementing, improving and extending the current state of the art in multi-agent reinforcement learning
  • Be a part of impactful projects and will collaborate with people across several teams and backgrounds to integrate cutting edge ML/AI in our production systems
What we offer
What we offer
  • Competitive compensation and stock options
  • Relocation support
  • Social and education allowances
  • Regular company events and all-hands to bring together employees as one team across Europe
  • A hands-on onboarding program (affectionately labelled “AI-duction”), in which you will be familiarising yourself with our tools and ML pipelines used across the company
  • Fulltime
Read More
Arrow Right

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...
Location
Location
Canada
Salary
Salary:
55.00 USD / Hour
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • health and wellbeing resources
  • paid volunteer days
Read More
Arrow Right

PhD AI Research Intern

Join our cutting-edge Machine Learning Research team at Atlassian as a PhD Resea...
Location
Location
United States , Seattle
Salary
Salary:
49.00 - 75.00 USD / Hour
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
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
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
What we offer
  • health and wellbeing resources
  • paid volunteer days
Read More
Arrow Right

Manager, Machine Learning - Community Support Engineering

The Community Support Platform (CSP) at Airbnb is a critical system that drives ...
Location
Location
United States
Salary
Salary:
204000.00 - 255000.00 USD / Year
airbnb.com Logo
Airbnb
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Expertise in various machine learning and AI methodologies, including LLMs and non-LLMs, tailored for user-facing products
  • Proven experience in leading teams that develop large-scale ML models and systems to improve online user experiences
  • Strong leadership skills with a track record of nurturing an innovative and collaborative team environment
  • Exceptional verbal and written communication abilities, with a keen eye for detail
  • Demonstrated capability to work effectively with stakeholders at all organizational levels, both internally and externally
  • Skilled in navigating and resolving ambiguous challenges through proactive and strategic approaches
  • PhD, or Master's degree in Computer Science, Mathematics, Statistics, or related technical field
  • 10+ years of experience in building and shipping AI models and products, including 2+ years of experience with LLMs
  • 5+ years managing machine learning teams that deliver large impact
  • Expert knowledge of machine learning algorithms and techniques
Job Responsibility
Job Responsibility
  • Lead and mentor a dynamic team of highly skilled applied scientists and machine learning engineers in the research, design and optimization of AI models and services
  • Develop and refine the overarching strategy for the ML and AI aspects of our community support products, focusing on scalability, quality, safety, performance, and reliability
  • Foster rapid development cycles without sacrificing quality, collaborating closely with platform, backend, and frontend engineers to engineer robust ML models and systems that enhance community support initiatives
  • Evaluate technical trade-offs in key decisions, ensuring optimal outcomes through data-backed strategies
  • Conduct thorough design and architecture reviews to continually elevate our standards of technical excellence
What we offer
What we offer
  • bonus
  • equity
  • benefits
  • Employee Travel Credits
  • Fulltime
Read More
Arrow Right

AI Intern / Junior AI Developer (Model Fine-Tuning & Data Personalization)

Developer Bazaar Technologies is a fast-growing IT services and product developm...
Location
Location
India , Indore
Salary
Salary:
Not provided
developerbazaar.com Logo
Developer Bazaar Technologies
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 6 months – 1 year of experience (internships, projects)
  • Strong knowledge of Python and basic Machine Learning concepts
  • Familiar with Hugging Face, OpenAI API, TensorFlow, or PyTorch
  • Understanding of data handling using Pandas / NumPy
  • Eager to learn fine-tuning, embeddings, and vector databases (Pinecone, FAISS)
  • Curious, disciplined, and able to work independently on assigned tasks
Job Responsibility
Job Responsibility
  • Data Preparation & Processing: Clean, preprocess, and structure user/health data for model training
  • Handle datasets using Python, Pandas, and NumPy
  • Ensure data integrity and security in all operations
  • Model Experimentation & Fine-Tuning: Work with pre-trained models from Hugging Face, OpenAI, or TensorFlow
  • Assist in model fine-tuning for personalized predictions and insights
  • Test model outputs and analyze accuracy or relevance
  • AI Integration & API Support: Help integrate AI models with company systems using FastAPI / Flask
  • Support backend developers in connecting models to user-facing products
  • Research & Documentation: Explore new techniques in fine-tuning, embeddings, or personalization
  • Maintain proper documentation, model logs, and experiment reports
What we offer
What we offer
  • Hands-on experience in AI model fine-tuning & personalization
  • Certificate & Letter of Recommendation
  • Opportunity to grow into a full-time AI Developer role
  • Real-world exposure to building AI systems used by clients
  • Fulltime
Read More
Arrow Right
Jobs by Category
Art and Entertainment Jobs Banking Jobs Call Center Jobs Construction Jobs Consulting Jobs Customer Service Jobs Education Jobs Energy Jobs Finance Jobs Gastronomy Jobs Health and Beauty Jobs Hospitality and Tourism Jobs Human Resources Jobs Insurance Jobs IT - Administration Jobs IT - Software Development Jobs Legal Jobs Logistics Jobs Manufacturing Jobs Marketing, Digital Marketing, SEO, SEM Jobs Media Jobs Nursing Jobs Office Administration Jobs Pharmacy Jobs Physical Work Jobs Public Relations Jobs Public Sector Jobs Purchasing Jobs Quality Control Jobs Real Estate Jobs Research and Development Jobs Sales Jobs
Job Positions Jobs by Country
United States Jobs United Kingdom Jobs India Jobs Canada Jobs Australia Jobs Germany Jobs Ireland Jobs Poland Jobs
Company
Blog About Us Contact
Follow Us
Facebook
X (Twitter)
LinkedIn
Instagram
CrawlJobs Group
ITFlashcards AllDevBlogs
© 2026 CrawlJobs Ltd. All Rights Reserved
Terms & Conditions Privacy Policy