E-3 Visa AI ML Platform Jobs
AI ML Platform roles qualify as E-3 specialty occupations when tied to a relevant degree in computer science, data science, or a related field. Australian professionals can secure E-3 visa sponsorship without competing in the H-1B lottery, with two-year periods renewable indefinitely as long as you hold a qualifying offer.
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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.
The Team:
Pinterest Technical Program Managers are proactive owners with technical expertise. They are aligned to the highest level company priorities to support successful delivery of programs within their teams. The Platform T/PgM Team is responsible for overall program governance in Infrastructure, Infra Finance, Data Engineering and Security, as well as Compliance and managing our cloud budget.
What you’ll do:
- As a Staff Technical Program Manager focusing on cross-engineering special projects, you will identify, scope, champion, and land key strategic projects important to advancing Pinterest’s platform and underpinning.
- Lead Strategic ML/AI Platform Programs — Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform; owning outcomes from ambiguous opportunity through measurable execution.
- Operate with an AI-First Execution Mindset — Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows (e.g., intake triage, status synthesis, risk and dependency tracking, action/decision extraction), and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
- Prototype AI-Augmented Tools & Workflows — Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction — including dashboards, data analysis, process helpers, and internal tooling; using a "vibe coding" approach to move fast and validate value early.
- Apply Safety-by-Design AI Governance — Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
- Drive Complex Technical Decisions Across Teams — Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions; sequencing risky elements to fail fast and reduce downstream program exposure.
- Translate Strategy into Execution — Convert strategic platform priorities into structured, milestone-driven execution plans; operating at both breadth (big picture vision) and depth (driving granular details with engineering teams) to ensure nothing falls through the cracks.
- Shape Planning & Influence Roadmaps — Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles; influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
- Build Scalable Processes & Best Practices — Define, institutionalize, and continuously improve program management processes, frameworks, and tooling; elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
- Drive Cross-Functional Alignment & Communication — Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal; ensuring stakeholders at all levels; from ICs to executives, have timely, accurate visibility into priorities, status, risks, and decisions.
- Own Program Outcomes End-to-End — Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through; representing program interests at the highest levels of the organization.
What we’re looking for:
- Experienced Technical Program Manager — 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent. With a proven track record of leading and delivering complex, multi-year initiatives spanning multiple engineering teams and organizations.
- AI-First Execution Mindset — Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication; starting from AI-generated drafts and applying strong judgment to validate, refine, and drive decisions rather than defaulting to manual, high-toil approaches.
- Workflow Design & AI Fluency — Experience turning repeatable program work into durable, low-toil mechanisms; including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
- Safety-by-Design AI Governance — Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability, and proactively identifying where AI use is not appropriate or requires additional controls.
- ML/AI & Systems Domain Knowledge — Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles; sufficient to engage credibly with technical teams, drive meaningful tradeoffs, and identify cross-system risks.
- Strategic Vision & Entrepreneurial Leadership — Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs, with an entrepreneurial spirit that thrives in ambiguity and builds programs from the ground up.
- Executive Influence & Thought Leadership — Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions, and building trusted relationships across disciplines and organizations without relying on formal authority.
- Analytical Problem-Solving & Risk Mitigation — Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
- Operational Excellence at Scale — Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility, with a focus on institutionalizing repeatable mechanisms that outlast individual programs and enable teams to execute with greater consistency.
- Exceptional Communication & Collaboration — Outstanding written, verbal, and interpersonal communication skills; able to distill nuanced, technical concepts for diverse audiences, build consensus across competing perspectives, and foster an inclusive, collaborative environment that reflects Pinterest's commitment to diversity and belonging.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
LI-REMOTE
LI-JD3
Compensation:
- Salary Range: $145,747—$300,067 USD
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. The position is also eligible for equity. 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.
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.
The Team:
Pinterest Technical Program Managers are proactive owners with technical expertise. They are aligned to the highest level company priorities to support successful delivery of programs within their teams. The Platform T/PgM Team is responsible for overall program governance in Infrastructure, Infra Finance, Data Engineering and Security, as well as Compliance and managing our cloud budget.
What you’ll do:
- As a Staff Technical Program Manager focusing on cross-engineering special projects, you will identify, scope, champion, and land key strategic projects important to advancing Pinterest’s platform and underpinning.
- Lead Strategic ML/AI Platform Programs — Identify, scope, champion, and deliver high-impact, cross-engineering initiatives critical to advancing Pinterest's ML/AI Platform, GenAI infrastructure, and Agent Platform; owning outcomes from ambiguous opportunity through measurable execution.
- Operate with an AI-First Execution Mindset — Use GenAI as the default operating model for program execution; producing AI-assisted first drafts of core program artifacts, modernizing high-toil workflows (e.g., intake triage, status synthesis, risk and dependency tracking, action/decision extraction), and synthesizing signals to proactively surface risks, tradeoffs, and escalation paths.
- Prototype AI-Augmented Tools & Workflows — Leverage AI coding assistants to build lightweight solutions that improve decision-making and reduce friction — including dashboards, data analysis, process helpers, and internal tooling; using a "vibe coding" approach to move fast and validate value early.
- Apply Safety-by-Design AI Governance — Follow Pinterest's AI guidance for risk, governance, and compliance; appropriately handling sensitive data, validating AI-generated outputs, documenting assumptions and limitations, and ensuring AI-assisted workflows meet applicable policy and safety expectations before broad adoption.
- Drive Complex Technical Decisions Across Teams — Partner closely with technical domain owners across MLP, Agent Platform (Helix), Core Infra, and Ads to proactively identify, frame, and resolve complex cross-team technical decisions; sequencing risky elements to fail fast and reduce downstream program exposure.
- Translate Strategy into Execution — Convert strategic platform priorities into structured, milestone-driven execution plans; operating at both breadth (big picture vision) and depth (driving granular details with engineering teams) to ensure nothing falls through the cracks.
- Shape Planning & Influence Roadmaps — Serve as a thought leader to cross-functional stakeholders during annual and quarterly planning cycles; influencing product and platform roadmap decisions with data-informed perspectives and a deep understanding of organizational priorities and technical tradeoffs.
- Build Scalable Processes & Best Practices — Define, institutionalize, and continuously improve program management processes, frameworks, and tooling; elevating organizational execution capability and enabling teams to operate with greater agility, consistency, and efficiency at scale.
- Drive Cross-Functional Alignment & Communication — Build transparent, adaptive communication channels across Engineering, ML Research, Data Science, Product, Security, and Legal; ensuring stakeholders at all levels; from ICs to executives, have timely, accurate visibility into priorities, status, risks, and decisions.
- Own Program Outcomes End-to-End — Take full accountability for the success of high-impact programs, ensuring measurable delivery through rigorous planning, proactive risk mitigation, and relentless follow-through; representing program interests at the highest levels of the organization.
What we’re looking for:
- Experienced Technical Program Manager — 8+ years of TPM or related experience, with a Bachelor's degree in Computer Science or equivalent. With a proven track record of leading and delivering complex, multi-year initiatives spanning multiple engineering teams and organizations.
- AI-First Execution Mindset — Demonstrated ability to use GenAI to meaningfully accelerate program planning, operations, and stakeholder communication; starting from AI-generated drafts and applying strong judgment to validate, refine, and drive decisions rather than defaulting to manual, high-toil approaches.
- Workflow Design & AI Fluency — Experience turning repeatable program work into durable, low-toil mechanisms; including strong prompting, vibe coding lightweight scripts and tools, building dashboards, and leveraging agents to improve decision-making and operational throughput.
- Safety-by-Design AI Governance — Comfortable operating within AI governance expectations, including risk assessment, sensitive data handling, model output validation, and auditability, and proactively identifying where AI use is not appropriate or requires additional controls.
- ML/AI & Systems Domain Knowledge — Working understanding of Machine Learning, GenAI, LLM serving and inference, AI Agent architectures, DevOps, and systems engineering principles; sufficient to engage credibly with technical teams, drive meaningful tradeoffs, and identify cross-system risks.
- Strategic Vision & Entrepreneurial Leadership — Strong ability to analyze organizational context, anticipate future scenarios, and shape program roadmaps aligned to company-level strategy and OKRs, with an entrepreneurial spirit that thrives in ambiguity and builds programs from the ground up.
- Executive Influence & Thought Leadership — Demonstrated success influencing senior and executive leadership, representing program interests at the highest levels, providing well-reasoned input to critical decisions, and building trusted relationships across disciplines and organizations without relying on formal authority.
- Analytical Problem-Solving & Risk Mitigation — Strong analytical and decision-making skills with a track record of using data, innovative approaches, and structured frameworks to navigate complexity, resolve ambiguity, and mitigate program risks proactively.
- Operational Excellence at Scale — Demonstrated experience creating and driving efficient, scalable processes and best practices that increase organizational agility, with a focus on institutionalizing repeatable mechanisms that outlast individual programs and enable teams to execute with greater consistency.
- Exceptional Communication & Collaboration — Outstanding written, verbal, and interpersonal communication skills; able to distill nuanced, technical concepts for diverse audiences, build consensus across competing perspectives, and foster an inclusive, collaborative environment that reflects Pinterest's commitment to diversity and belonging.
Relocation Statement:
- This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
In-Office Requirement Statement:
- We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role.
- This role will need to be in the office for in-person collaboration 1-2 times every 6-months and therefore can be situated anywhere in the country.
LI-REMOTE
LI-JD3
Compensation:
- Salary Range: $145,747—$300,067 USD
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. The position is also eligible for equity. 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.
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 E-3 Visa AI ML Platform Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa AI ML Platform Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in AI ML Platform
Align your degree to the role
AI ML Platform positions require a degree in computer science, data science, or engineering to satisfy the E-3 visa specialty occupation standard. If your Australian three-year bachelor's is questioned, a credential evaluation confirming U.S. equivalency resolves it before the LCA stage.
Target employers with active LCA histories
Search DOL's OFLC disclosure data for employers who have filed Labor Condition Applications for machine learning or platform engineering roles. Prior LCA filings signal that the employer already understands E-3 sponsorship mechanics, reducing friction during offer negotiation.
Clarify sponsorship scope before signing
Some employers will cover LCA filing but not consulate fees or visa paperwork. Confirm in writing which costs the employer absorbs. The LCA itself is a DOL requirement the employer must file, so that cost is non-negotiable on their end.
Use Migrate Mate's E-3 filing service for end-to-end support
Once you have an offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork from certification through consulate appointment. This avoids coordination errors between your employer's HR team and the consulate's document requirements.
Prepare for specialization questions at the consulate
Consular officers assess whether your role genuinely requires theoretical and practical application of AI and ML at a degree level. Bring documentation showing model development, platform architecture, or research responsibilities, not just operational or support duties.
Time your application around project milestones
E-3 visas are processed at the consulate without a filing queue, so your start date depends on appointment availability, not USCIS adjudication windows. Schedule your interview at least four to six weeks before your intended start date to allow for passport return.
E-3 Visa AI ML Platform: Frequently Asked Questions
How do I find AI ML Platform jobs that offer E-3 visa sponsorship?
Migrate Mate is the most direct way to search for AI ML Platform roles where employers are open to E-3 sponsorship. Most general job boards don't filter by visa type, so you end up screening dozens of listings manually. Migrate Mate surfaces roles matched to E-3 eligibility, letting you focus on applications rather than eligibility research.
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 an AI ML Platform role qualify as an E-3 specialty occupation?
Yes, provided the position requires a bachelor's degree or higher in a directly related field such as computer science, machine learning, or software engineering. The role must call for theoretical and practical application of that knowledge. Generic platform or DevOps titles without an ML-specific degree requirement can fail the specialty occupation test, so your offer letter should specify the degree field the employer requires.
How does the E-3 compare to the H-1B for AI ML Platform roles?
The E-3 has no lottery and no annual cap, so an Australian professional with a qualifying offer can apply year-round without waiting for a selection round. H-1B registrations are capped at 85,000 annually and subject to a randomized lottery, meaning many qualified candidates are simply not selected. For AI ML Platform roles where demand is consistent, the E-3 removes the single biggest uncertainty in the U.S. work visa process.
Can I switch AI ML Platform employers while on an E-3 visa?
Yes, but you need a new LCA certified by DOL and a new E-3 visa stamp before starting with the new employer. Unlike some visa categories, E-3 portability is not automatic. If you're already in the U.S., you can continue working for your current employer while the new LCA is processed, but you'll need a fresh consulate appointment once you travel internationally to get the new stamp.