E-3 Visa Machine Learning Engineer Jobs
Machine Learning Engineer roles qualify as E-3 visa specialty occupations, and Australian nationals can secure U.S. sponsorship without entering an H-1B lottery. The E-3 visa requires a bachelor's degree in a relevant field, certifies a prevailing wage through a DOL Labor Condition Application, and renews in two-year increments with no cap.
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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 2,150+ E-3 Visa Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Machine Learning Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Machine Learning Engineer
Align your degree to the role
U.S. consular officers assess whether your qualification directly supports the ML engineer job description. A degree in computer science, statistics, or a related quantitative discipline strengthens the specialty occupation case; a general IT degree with no ML coursework can draw scrutiny.
Target employers with LCA filing history
Employers who have filed Labor Condition Applications before understand the DOL certification timeline. Searching DOL's OFLC disclosure data for ML-related job titles surfaces companies already familiar with the E-3 process, cutting your time-to-offer significantly.
Search verified E-3 sponsorship roles on Migrate Mate
Migrate Mate filters Machine Learning Engineer listings specifically for E-3 visa sponsorship, so you're not cold-applying to roles where the employer hasn't confirmed willingness. Use Migrate Mate's E-3 filing service to handle your LCA and visa paperwork once you land an offer.
Frame your ML expertise for U.S. job descriptions
Australian ML engineers often list tools like PyTorch and TensorFlow but omit the specific deployment contexts U.S. hiring managers scan for, such as large-scale inference infrastructure or MLOps pipelines. Rewrite your resume around production impact, not research output.
Clarify E-3 requirements before your offer letter
Before signing, confirm that your offer letter specifies your job title, duties, and degree requirement in terms that support an LCA filing. Vague titles like 'Data Engineer' can complicate the specialty occupation determination if ML work isn't explicitly documented.
Account for LCA certification in your start date
DOL certifies most LCAs within seven business days, but your employer needs to post a public notice at the worksite for ten consecutive days before filing. Build at least three weeks between offer acceptance and your proposed start date to avoid timeline pressure.
E-3 Visa Machine Learning Engineer: Frequently Asked Questions
How do I find Machine Learning Engineer jobs with E-3 visa sponsorship?
Migrate Mate is the most direct way to search. It filters Machine Learning Engineer roles specifically by E-3 sponsorship, so every listing you see is from an employer who has indicated willingness to sponsor Australian nationals. Standard job boards don't filter by visa type, which means most applications go to employers unprepared for the LCA process.
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 Engineer role qualify as a specialty occupation for the E-3?
Yes. Machine Learning Engineer is classified under SOC code 15-2051 (Data Scientists) and 15-1252 (Software Developers), both of which require at minimum a bachelor's degree in a specific technical field. The role's reliance on advanced mathematics, statistical modeling, and software engineering satisfies the DOL and USCIS specialty occupation standard.
How does the E-3 compare to the H-1B for Machine Learning Engineers?
The E-3 is available only to Australian citizens but has no lottery and no annual cap, so you can apply any time a qualifying job offer exists. The H-1B subjects most applicants to a randomized selection process with roughly a 25 percent selection rate. For Australian ML engineers, the E-3 is a direct path that doesn't depend on lottery luck.
Can I switch Machine Learning Engineer employers while on an E-3?
Yes, but your new employer must file a fresh LCA and you'll need a new E-3 visa stamp if yours is tied to the previous employer. Unlike H-1B, there's no USCIS portability provision, so you need to time the transition carefully. Your status remains valid while you're working for the original employer and during the new application process.