Supply Chain Optimization Internships
Supply chain optimization internships give university students, recent graduates, and early-career switchers hands-on project experience working alongside working practitioners in the field, and, at many employers, a path toward a full-time offer. Demand is strongest across {{top_industries_phrase}}, with {{top_employers_phrase}} among the employers posting roles now.
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Research Scientist Intern, Foundation Model Optimization (PhD) Responsibilities:
- Perform LLM and vision foundation model research that leads to publications in top-tier CV/NLP/ML conferences.
- Develop model optimization algorithms and infrastructure to enable deployment of models in resource-constrained settings, such as mobile phones and AR/VR/MR/SG devices.
- Research joint optimization of models and the surrounding assistant system, including planning, memory, tool use, and coordination across device and cloud.
- Explore personalization, model compression and efficiency, and novel model architectures including omni-modal capabilities.
- Collaborate with cross-disciplinary research and engineering teams.
Minimum Qualifications:
- Currently is in the process of obtaining a PhD in the field of Artificial Intelligence or related field
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Hands-on experience in deep learning algorithms and techniques, e.g., transformers
- Experience with deep learning software libraries such as PyTorch/JAX
- Experience with scripting languages such as Python and shell scripts
Preferred Qualifications:
- Intent to return to degree-program after the completion of the internship
- Experience with large scale foundation model training and on-device foundation model optimization
- Experience in one or more of: LLM agents and orchestration, personalization, model compression and efficient inference, efficient model architectures, multi-modal modeling, data-centric approaches for model tuning and evaluation
- Proven track record of publications at CV/NLP/ML conferences/journals such as NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, AAAI, ACL, EMNLP
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Research Scientist Intern, Foundation Model Optimization (PhD) Responsibilities:
- Perform LLM and vision foundation model research that leads to publications in top-tier CV/NLP/ML conferences.
- Develop model optimization algorithms and infrastructure to enable deployment of models in resource-constrained settings, such as mobile phones and AR/VR/MR/SG devices.
- Research joint optimization of models and the surrounding assistant system, including planning, memory, tool use, and coordination across device and cloud.
- Explore personalization, model compression and efficiency, and novel model architectures including omni-modal capabilities.
- Collaborate with cross-disciplinary research and engineering teams.
Minimum Qualifications:
- Currently is in the process of obtaining a PhD in the field of Artificial Intelligence or related field
- Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
- Hands-on experience in deep learning algorithms and techniques, e.g., transformers
- Experience with deep learning software libraries such as PyTorch/JAX
- Experience with scripting languages such as Python and shell scripts
Preferred Qualifications:
- Intent to return to degree-program after the completion of the internship
- Experience with large scale foundation model training and on-device foundation model optimization
- Experience in one or more of: LLM agents and orchestration, personalization, model compression and efficient inference, efficient model architectures, multi-modal modeling, data-centric approaches for model tuning and evaluation
- Proven track record of publications at CV/NLP/ML conferences/journals such as NeurIPS, ICLR, ICML, CVPR, ICCV, ECCV, AAAI, ACL, EMNLP
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,667/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Tips for Your Supply Chain Optimization Internship Search
Apply earlier than you think necessary
Large employers close their summer supply chain optimization intern cohorts as early as October or November. Smaller companies and co-op programs post closer to start dates, so openings appear year-round. Map the recruiting calendar for your target employers before the fall semester starts so you're not chasing closed roles.
Build a project portfolio before you apply
Hiring teams for supply chain optimization internships expect limited work history and look for documented evidence of your thinking instead. Put together two or three complete projects with the tools used, the problem you solved, and links to the actual work, whether that's a simulation model, a process analysis, an optimization write-up, or a dataset.
Work your campus network alongside direct applications
Campus career fairs surface structured programs tied to your university, and professors or career center staff often know which employers recruit from your school before roles post publicly. Apply directly to companies running smaller cohorts at the same time so you're not limited to what comes through campus channels alone.
Practice the supply chain optimization intern screen before you apply
Most supply chain optimization intern interviews include a case or analytical screen where you walk through a demand, inventory, or process problem out loud. Practice narrating your reasoning, not just reaching an answer, since interviewers weigh how you structure a problem as much as the final number or recommendation.
Supply Chain Optimization Internships: Frequently Asked Questions
How do I get a supply chain optimization internship?
Lead with coursework and personal projects rather than work history, since hiring teams expect limited experience at the intern level. Build a portfolio of documented case studies or analyses that show how you approached a real problem, the tools you used, and the outcome. Submit direct applications and attend campus career fairs, where recruiters often move faster for students they meet in person.
Can a supply chain optimization internship turn into a full-time job?
Many employers extend return offers to strong interns, but conversion is never guaranteed. What drives it most is performance on real deliverables, available headcount on the team, and how early the company makes return-offer decisions. Treat the internship as a long audition, deliver consistently, and stay engaged with your manager, without counting on a specific outcome.
When should I apply for supply chain optimization internships?
Earlier than most expect. Large employers recruit summer interns the preceding fall, often wrapping cohorts before the new year. Smaller companies and co-op programs post closer to their start dates, so openings appear year-round. Checking listings regularly and setting up alerts means you won't miss an early-closing role.
Are supply chain optimization internships paid?
Most professional supply chain optimization internships in the U.S. are paid. Compensation varies by company size, industry, and location, and listings show it where the employer chooses to disclose it. Unpaid arrangements are more common at nonprofits or through academic credit arrangements, so read each listing carefully.
What should a supply chain optimization internship resume include?
Lead with two or three complete, documented projects rather than work history. For supply chain optimization candidates, that means linked analyses, process improvement case studies, simulation models, or other artifacts that show the tools you used and what you found. Add relevant coursework, keep the whole document to one page, and make every line easy for a recruiter to verify.
What is a rotational supply chain internship program?
Rotational supply chain internship programs place interns across two or more functional areas, such as procurement, logistics, and demand planning, over a single summer or semester. They target candidates new to the field, provide structured mentorship in each rotation, and recruit early in the fall recruiting cycle. These programs are competitive, so identify the ones that fit and apply in the first wave.
Can international students get supply chain optimization internships?
Yes. F-1 students can intern through CPT while enrolled or through OPT work authorization after finishing a degree, and the employer does not have to file anything for either, so many companies are open to international interns. Confirm your eligibility and timing with your university's international student office before accepting an offer.
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