J-1 Visa Master Data Management Jobs
Master Data Management professionals can pursue U.S. placements through J-1 visa sponsorship under the Trainee or Specialist category, depending on experience level. Designated sponsor organizations issue your DS-2019 and oversee your training plan while the host employer guides your day-to-day work.
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Get Access To All JobsAbout Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
ROLE AND RESPONSIBILITIES:
As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
What you’ll do:
- Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI.
- Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
- Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
- Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
- Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
- Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems.
- Write clean, efficient, and sustainable code.
- Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers.
What we’re looking for:
- This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs.
- Ability to legally work full time (40 hours/week) from September-December 2026.
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
- Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow).
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- High degree of autonomy in learning new agent-first development tools.
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
- Experience in research and in solving analytical problems.
- Strong communicator and team player. Being able to find solutions for open-ended problems.
Preferred Qualifications:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
- Strong passion for research and for answering hard questions with research.
- Passion for applied ML and the Pinterest product.
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The salary for this position is $11,000 monthly.
LI-HYBRID
LI-EB1
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
About Pinterest:
Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we’re on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.
Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other’s unique experiences and embrace the flexibility to do your best work. Creating a career you love? It’s Possible.
At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we’re looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we’ll explore your foundational skills and how you collaborate with AI.
Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.
ROLE AND RESPONSIBILITIES:
As a machine learning intern in our Advance Technology Group at Pinterest, you will be exposed to a full spectrum of ML product development. The team focuses on developing cutting-edge technologies for Pinterest’s visual understanding modules and recommender systems. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also having opportunities to deploy features to hundreds of millions of users or conduct research applicable for paper submissions. We offer a 12-week fall internship program remotely or in our San Francisco, Palo Alto, Seattle, or New York offices.
Note to applicants:
By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.
Internships are 12 weeks paid from September 21 - December 11, 2026. Depending on the team, our fall internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.
What you’ll do:
- Develop and launch new user features using unique internal datasets and ML techniques, especially in computer vision, generative AI, and responsible AI.
- Gain hands-on experience with production ML systems, including algorithmic research, infrastructure, data engineering, training, inference, and product, to deliver innovative solutions. You will be exposed to full-stack production ML systems.
- Leverage frontier AI tools and agents to accelerate engineering implementation, including prototyping and experimentation work.
- Validate AI-generated outputs through testing, code review, and critical thinking, ensuring solutions are accurate, maintainable, secure, and aligned with team standards.
- Use AI to better understand unfamiliar code, investigate bugs, and summarize technical context or documentation.
- Contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems.
- Write clean, efficient, and sustainable code.
- Take proactive ownership over the completion and quality of your tasks and project with minimal guidance from your mentor, manager, and peers.
What we’re looking for:
- This role will be on our Visual Search team. We are looking for candidates with experience in Computer Vision, Visual Search, User Understanding, Generative AI, and LLMs.
- Ability to legally work full time (40 hours/week) from September-December 2026.
- Working towards a Master's degree in Computer Science, ML, NLP, Statistics, Information Sciences or related field.
- Mastery of at least one systems language (Java, C++, Python) and one ML framework (Tensorflow, Pytorch, MLFlow).
- Proficiency with AI-native engineering, including the design of agent-friendly codebases.
- High degree of autonomy in learning new agent-first development tools.
- Strong critical thinking when working with AI-generated suggestions, with a clear approach to validating correctness, performance, security, and maintainability.
- Comfort iterating on prompts, refining workflows, and adapting AI-assisted approaches based on the problem, context, and constraints.
- Experience in research and in solving analytical problems.
- Strong communicator and team player. Being able to find solutions for open-ended problems.
Preferred Qualifications:
- Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields.
- Strong passion for research and for answering hard questions with research.
- Passion for applied ML and the Pinterest product.
Why Intern at Pinterest?
- Meaningful Work: Contribute to projects that impact millions of users worldwide.
- Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
- Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
In-Office Requirement Statement:
- We let the type of work you do guide the collaboration style. That means we’re not always working in an office, but we continue to gather for key moments of collaboration and connection.
- This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.
Information regarding the culture at Pinterest and benefits available for this position can be found here.
US based applicants only
The salary for this position is $11,000 monthly.
LI-HYBRID
LI-EB1
Our Commitment to Inclusion:
Pinterest is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in every job. All qualified applicants will receive consideration for employment without regard to race, color, ancestry, national origin, religion or religious creed, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, age, marital status, status as a protected veteran, physical or mental disability, medical condition, genetic information or characteristics (or those of a family member) or any other consideration made unlawful by applicable federal, state or local laws. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you require a medical or religious accommodation during the job application process, please complete this form for support.
See all J-1 Visa Master Data Management Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new J-1 Visa Master Data Management Jobs.
Get Access To All JobsTips for Finding J-1 Visa Sponsorship in Master Data Management
Align your training plan to MDM competencies
Your DS-2019 requires a detailed training plan linking each phase of your placement to specific skills. Map it explicitly to data governance frameworks, master data modeling, and tools like MDM platforms your host employer uses.
Distinguish Trainee from Specialist before applying
If you hold a degree and have under five years of MDM experience, the Trainee category fits. If you're a seasoned data governance professional without a relevant degree, Specialist is the correct J-1 visa category and requires a different designated sponsor.
Search Migrate Mate for J-1-aligned MDM roles
Not every data management team is set up to host J-1 participants. Use Migrate Mate to filter for U.S. employers whose roles align with J-1 sponsorship, saving time you'd otherwise spend vetting positions manually.
Target enterprises with dedicated data governance functions
Host employers in financial services, healthcare, and manufacturing are more likely to have structured MDM programs that satisfy the J-1 training plan requirement. Fragmented data teams at early-stage companies rarely have the oversight infrastructure designated sponsors require.
Verify the 2-year home residency rule applies to you
MDM professionals sponsored through government-funded programs or from certain countries face a 2-year home residency requirement before changing to H-1B visa or green card status. Confirm your situation with your designated sponsor before accepting a host employer's offer.
Confirm your host employer can meet wage requirements
Even though J-1 is not an employer-sponsored visa, your host employer must pay the prevailing wage for your MDM role under DOL guidelines. Cross-check the expected compensation against the OFLC Wage Search for your occupation and location before the offer is finalized.
Master Data Management J-1 Visa: Frequently Asked Questions
Which J-1 program category fits a Master Data Management professional?
It depends on your background. If you're a current student or recent graduate seeking structured training, the Intern category applies. Working professionals with a degree and some MDM experience typically qualify under Trainee. Experienced practitioners with deep domain expertise but no relevant degree may qualify under Specialist. Your designated sponsor organization confirms the correct category based on your profile and the host employer's training plan.
Who actually sponsors my J-1 visa if a company hires me for an MDM role?
The hiring company is your host employer, not your visa sponsor. Your J-1 visa sponsor is a U.S. Department of State-designated organization, such as Cultural Vistas or CIEE, that issues your DS-2019 form, approves your training plan, and monitors your compliance throughout the exchange. The host employer participates by co-signing the training plan and providing the placement, but cannot issue a DS-2019 on its own.
How do I find U.S. employers open to hosting a J-1 MDM participant?
Most standard job postings don't indicate J-1 hosting capacity, which makes filtering difficult. Migrate Mate lets you search for U.S. roles and employers that align with J-1 sponsorship, so you're not sending applications to companies that have no infrastructure to work with a designated sponsor. Targeting data-intensive industries like financial services, healthcare, and logistics increases your chances further.
Does my J-1 training plan need to cover specific MDM tasks or tools?
Yes, and the level of detail matters. Designated sponsors require a phase-by-phase training plan that ties each period to measurable learning objectives. For MDM roles, that typically means specifying the data governance frameworks, master data modeling techniques, and software platforms involved. Vague plans referencing only broad functions like 'data management' are frequently rejected or sent back for revision before the DS-2019 is issued.
Can the 2-year home residency requirement block my path to an H-1B after a J-1 MDM placement?
It can. If your J-1 participation was funded by your home government or a U.S. government program, or if your country is on the State Department's skills list for your occupation, you're subject to a 2-year home residency requirement under INA Section 212(e). This means you cannot change to H-1B or apply for a green card until you either fulfill that residency period or obtain a waiver. Confirm your status with your designated sponsor before signing any host employer agreement.