E-3 Visa AI ML Engineer Jobs
AI ML Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring a bachelor's degree in computer science, data science, or a related field. The E-3 has no lottery and no annual cap, so you can apply any time you have a qualifying offer from a U.S. employer.
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INTRODUCTION
Thornton Tomasetti applies engineering and scientific principles to solve the world’s challenges. An independent organization of creative thinkers and innovative doers collaborating from offices worldwide, our mission is to bring our clients' ideas to life and, in the process, lay the groundwork for a better, more resilient future. We provide support and opportunities to our employees to achieve their full potential and cultivate a rewarding career.
Your Role
Thornton Tomasetti is seeking a Civil/Structural Engineer with a Data Science background to contribute to CORE.AI, a dedicated research and development team focusing on Artificial Intelligence and Machine Learning (AI/ML) projects. You’ll be a key part of the team supporting the Director CORE.AI and CORE, the software development, R&D, and advanced computational modeling studio at Thornton Tomasetti.
The goal of the role will be to drive AI/ML tools and processes that will provide both insight and production value to Thornton Tomasetti practices and technical staff. You’ll need to be highly motivated and have demonstrated experience in analyzing and creating data sets to enable AI/ML model creation that can be utilized in production applications. You will work in a collaborative environment as you support, build, and maintain applications for the broader staff.
- Use statistical inference (Bayesian and Markov Chain Monte Carlo methods) for probabilistic design space exploration.
- Prepare data visualizations to illustrate and explain analytical results.
- Use finite element analysis, and other numerical methods to analyze and design code-compliant structural components and systems for data set preparation.
- Use constrained multi-objective optimization, and other computational methods for design space exploration and sensitivity analysis.
- Utilize techniques like regression, clustering, and optimization.
What You'll Bring
- BS and/or MS degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field
- Excellent communication skills
- Programming experience with Python
- Proficient knowledge of machine learning and data mining algorithms
- Expertise in Finite Element Analysis (Strand7, RAM, SAP200, etc.) a plus
Compensation
The rate for this position generally is $100,000 - $115,000 annually. This range is a good faith estimate provided pursuant to the New York Pay Transparency Law. It is based on what a successful New York applicant might be paid and assumes that the successful candidate will be in New York or perform the position from New York. Similar positions located outside of New York will not necessarily receive the same compensation. Actual pay rates may vary from the range, as permitted by New York Equal Pay Transparency Law. Compensation offers will be based on various factors, including operational needs, individual education, qualifications and experience, work location and comparison to employee already in the role, as well as other considerations permitted by law. A potential new employee’s pay history will not be used in compensation decisions.
Benefits
Depending on your employment status, benefits may include:
- Medical, Dental, Vision, Life, AD&D, Disability and other voluntary benefits
- Flexible Spending Accounts for Medical and Childcare
- Paid Time Off, Family Leave for New Parents, Volunteer Time
- Tuition Reimbursement
- Commuter Transit (where available)
- 401k retirement savings with Company matching on employee contributions and/or qualified student loan repayments
- Fitness Reimbursement
- And other various wellness, diversity/inclusion and employee resource programs and initiatives
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Thornton Tomasetti is proud to be an equal employment workplace. Individuals seeking employment at Thornton Tomasetti are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws.
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Please access the linked document by clicking here, select the country where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms.
To request a reasonable accommodation during the application process for this role, please contact talentconcierge@throntontomasetti.com
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship as an AI ML Engineer
Align your degree to the role
U.S. consular officers assess whether your degree field matches the job. A computer science or data science degree maps cleanly to AI ML Engineer roles, but a general IT or engineering degree may require supporting documentation showing relevant coursework or specialization.
Target employers with LCA filing history
Search the DOL's Office of Foreign Labor Certification disclosure data to identify companies that have previously filed Labor Condition Applications for ML or data science roles. These employers already understand the E-3 visa process and are less likely to stall on sponsorship.
Clarify sponsorship early in interviews
Many U.S. tech hiring managers confuse the E-3 with the H-1B lottery. During interviews, explain that the E-3 requires no lottery, has a 10,500 annual allocation that has never been exhausted, and takes weeks, not months, to obtain.
Get your transcript evaluated before applying
Australian three-year bachelor's degrees are generally accepted for E-3 specialty occupation purposes, but having a credential evaluation ready before you apply removes a common employer objection and speeds up the LCA filing stage.
Use Migrate Mate's E-3 filing service for the paperwork
Once you have an offer, Migrate Mate's E-3 filing service handles the LCA submission to DOL, visa application preparation, and consulate appointment readiness, so your employer doesn't need to engage a separate immigration attorney.
Time your application around consulate availability
E-3 visas are issued at Australian consulates in Sydney, Melbourne, and Perth. Appointment wait times vary by location and season. Confirm your preferred consulate's current availability before accepting a start date with your employer.
E-3 Visa AI ML Engineer: Frequently Asked Questions
How do I find AI ML Engineer jobs that offer E-3 visa sponsorship?
Use Migrate Mate to search AI ML Engineer roles filtered by E-3 visa sponsorship. Most general job boards don't distinguish between visa types, so you can spend hours applying to roles where sponsorship isn't available. Migrate Mate surfaces employers who have demonstrated willingness to sponsor E-3 applicants, saving you time at the targeting stage.
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 Engineer role qualify as a specialty occupation for the E-3?
Yes. AI ML Engineer roles require at least a bachelor's degree in computer science, data science, mathematics, or a closely related field, which meets the DOL and USCIS specialty occupation standard. The key is that your degree field must align with the specific role. A general business or unrelated engineering degree may not be sufficient without supporting documentation showing relevant technical coursework.
How does the E-3 compare to the H-1B for AI ML Engineer roles?
For Australian nationals, the E-3 is significantly more practical than the H-1B. The H-1B has an annual cap of 85,000 with a heavily oversubscribed lottery, meaning you could wait years before getting selected. The E-3 has a 10,500 annual cap that has never been fully used, no lottery, and can be applied for at any time of year once you have a qualifying job offer.
Can I switch AI ML Engineer employers on an E-3 visa?
Yes, but each employer change requires a new E-3 process. Your new employer must file a fresh Labor Condition Application with the DOL, and you'll need to either apply for a new E-3 visa at an Australian consulate or, in some cases, change status from within the U.S. There's no portability provision like some other visa categories, so plan your transition timeline carefully.