E-3 Visa Machine Learning Jobs
Machine learning engineers rank among the strongest candidates for E-3 visa sponsorship because the role satisfies the specialty occupation requirement under U.S. immigration law. As an Australian national, you can work in the U.S. on an E-3 with no lottery, no annual cap pressure, and renewable two-year terms for as long as you hold a qualifying offer.
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Get Access To All JobsINTRODUCTION
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.
Thornton Tomasetti Global Terms of Use and Privacy Statement
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Thornton Tomasetti are conditioned on your acceptance and compliance with these terms.
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
Beware Of Recruitment Fraud: Scammers may attempt to impersonate Thornton Tomasetti. Messages from our firm come only from the ThorntonTomasetti.com domain, Thornton Tomasetti does not use any third-party recruiters. When in doubt, please contact us through our web form here and see how you can protect yourself online here.
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.
Thornton Tomasetti Global Terms of Use and Privacy Statement
Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at Thornton Tomasetti are conditioned on your acceptance and compliance with these terms.
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
Beware Of Recruitment Fraud: Scammers may attempt to impersonate Thornton Tomasetti. Messages from our firm come only from the ThorntonTomasetti.com domain, Thornton Tomasetti does not use any third-party recruiters. When in doubt, please contact us through our web form here and see how you can protect yourself online here.
See all 2,206+ E-3 Visa Machine Learning Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Machine Learning Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Machine Learning
Align your credentials to U.S. specialty occupation standards
Your Australian bachelor's degree in computer science, mathematics, or a related quantitative field satisfies the E-3 visa education requirement. If your degree is in a different discipline, document how your coursework and ML experience map directly to the role's technical demands.
Target employers with active LCA filing history
Search DOL's Office of Foreign Labor Certification disclosure data to identify companies that have filed Labor Condition Applications for machine learning roles. Repeat filers understand the E-3 process and won't treat your visa as an obstacle during hiring.
Clarify E-3 versus H-1B costs before negotiating offers
E-3 sponsorship skips the H-1B lottery entirely and involves fewer employer filing fees. Raising this early in offer discussions removes a common hesitation, especially at smaller AI labs and startups that are unfamiliar with Australian-specific visa options.
Get your LCA filed before your start date locks in
The employer must obtain a certified Labor Condition Application from DOL before you can proceed to the consulate. LCA certification typically takes seven business days, so confirm this step is underway as soon as your offer letter is signed.
Use Migrate Mate's E-3 filing service to manage your paperwork
Once you have a job offer, use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork end-to-end. This keeps the process on track and reduces the risk of documentation errors that delay your consulate appointment.
Prepare role-specific evidence for your consulate interview
Consular officers assess whether your ML role genuinely requires a specialized degree. Bring your offer letter, a job description referencing specific technical requirements, and documentation tying your qualifications to those requirements rather than relying on a generic title.
E-3 Visa Machine Learning: Frequently Asked Questions
How do I find machine learning jobs that offer E-3 visa sponsorship?
Migrate Mate lists machine learning roles from U.S. employers who are open to E-3 sponsorship for Australian nationals. Filtering by visa type saves time compared to applying broadly and discovering late in the process that a company won't support the E-3. From there, you can move directly into the filing process once an offer is in hand.
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 machine learning role qualify as a specialty occupation for the E-3?
Yes, machine learning engineering consistently qualifies as a specialty occupation because the role requires a theoretical and practical application of highly specialized knowledge, typically a bachelor's degree or higher in computer science, statistics, or a related quantitative field. If your job description includes model development, training pipelines, or deployment architecture, it will ordinarily satisfy USCIS criteria.
How does the E-3 visa compare to the H-1B for machine learning engineers?
The E-3 has a 10,500 annual allocation that has never been exhausted, so there is no lottery and no registration cap to worry about. The H-1B requires entering a random lottery with roughly a one-in-four chance of selection. For Australian ML engineers, the E-3 is a direct path that can be initiated as soon as you hold a qualifying offer, with no randomness involved.
Can I switch machine learning jobs while on an E-3 visa?
Yes, but your new employer must file a fresh LCA with DOL and you will need to obtain a new E-3 visa stamp before re-entering the U.S. or complete a change of employer while maintaining lawful status inside the country. Unlike the H-1B portability rules, there is no mechanism to port an E-3 to a new employer mid-stream, so plan for a processing window of at least a few weeks.