E-3 Visa Search Analyst Jobs
Search Analyst roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in a directly related field such as information science, statistics, or marketing analytics. The E-3 has no lottery and can be renewed indefinitely, giving Australian professionals stable, long-term footing in the U.S. search and digital analytics industry.
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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.

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 12+ Search Analyst jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Search Analyst roles.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Search Analyst
Frame your degree field precisely
Consular officers assess whether your qualification directly supports the Search Analyst role. A degree in information science, statistics, or marketing analytics strengthens the specialty occupation case far more than a general business degree listed without context.
Target employers with active LCA filings
DOL's Office of Foreign Labor Certification publishes certified LCA disclosure data. Filter for job titles like 'Search Analyst' or 'SEO Analyst' to identify employers who have already navigated E-3 sponsorship paperwork and are familiar with the process.
Use Migrate Mate to find sponsored roles
Search for Search Analyst positions with confirmed E-3 sponsorship history using Migrate Mate. The platform surfaces employers actively hiring Australian nationals, saving you from cold-applying to companies unfamiliar with the E-3 visa.
Get the LCA wage level documented before negotiating
Your employer files the LCA with DOL before your visa application. The certified LCA locks in a prevailing wage level. Negotiate your offer with that figure in mind so salary, title, and SOC code are consistent across every document you present at the consulate.
Address dual intent directly in your interview
E-3 is a nonimmigrant visa, so consular officers will probe ties to Australia. Prepare a concise statement about your intention to return after each two-year period, especially if you've held prior immigrant visa inquiries or have a U.S. citizen spouse.
Streamline filing with end-to-end specialist support
Mistakes in the LCA job description or mismatched SOC codes between the LCA and DS-160 are common reasons for delays. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork from offer acceptance through to your consulate appointment.
Search Analyst jobs are hiring across the US. Find yours.
Find Search Analyst JobsSearch Analyst E-3 Visa: Frequently Asked Questions
How do I find Search Analyst jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to search for Search Analyst roles where employers are already open to E-3 sponsorship. Generic job boards rarely filter by visa type, so you end up screening dozens of postings manually. Migrate Mate surfaces roles tied to employers with confirmed sponsorship history, reducing that friction significantly.
How much does it cost to get an E-3 visa?
Migrate Mate's E-3 filing service covers the entire process for $499, including the Labor Condition Application, visa document preparation, and consulate appointment guidance. Traditional immigration lawyers charge $2,000–$5,000+ for the same work. The E-3 has less paperwork than most work visas, so paying thousands for legal help is usually unnecessary.
Does a Search Analyst role qualify as a specialty occupation for the E-3?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as information science, statistics, digital marketing, or computer science. A role described as requiring 'any degree' or treating the credential as optional can undermine the specialty occupation argument. The job description your employer files with the LCA must make the degree requirement explicit.
How does the E-3 compare to the H-1B for Search Analyst roles?
The E-3 has no annual cap and no lottery, so you can apply at any point in the year and transfer between employers without waiting for an October start date. The H-1B has an 85,000-slot annual cap with a lottery that rejects the majority of registrations. For Australian Search Analysts, the E-3 is a faster, more predictable path to starting work in the U.S.
Can I switch employers while on an E-3 as a Search Analyst?
You can change employers, but your new employer must file a fresh LCA with DOL and you'll need a new E-3 visa stamp if you leave the U.S., or a change of status if you remain. There's no formal portability provision like H-1B's AC21 rule, so plan your transition timing carefully to avoid a gap in authorized status.
See which Search Analyst employers are hiring and sponsoring visas right now.
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