E-3 Visa Director Of Projects Jobs
Director of Projects roles in the U.S. qualify for E-3 visa sponsorship when the position requires a bachelor's degree in a relevant field like engineering, construction management, or business. The E-3 has no lottery and renews every two years, making it a stable path for Australian project directors pursuing long-term U.S. careers.
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Get Access To All JobsINTRODUCTION
We are looking for a hands-on Evaluation leader to build and lead a team of applied scientists and machine learning engineers who measure the quality of a new, multi-year Apple initiative. You will join at the start as a key contributor to the evaluation function, working with other eval leaders to establish how the team knows the system is correct, relevant, and trustworthy before and after it ships. You will own specific components of the evaluation plan, including methods, datasets, and automated grading systems that turn product behavior into clear quality signals for engineering and executive leadership.
DESCRIPTION
You will lead a team that designs and runs evaluation for a conversational experience that understands what people ask for, finds and ranks the right results, and allows them to complete tasks. Quality in this product spans several layers: interpreting a request correctly, retrieving and ranking the right results, composing a grounded and accurate response, and executing actions correctly through integrations with external partners. You and your team will be key contributors to the overall evaluation plan for this service and will own the evaluation methods for the layers in your area.
Within your components, you will set the technical direction for large language model (LLM) based autograders and rubrics, including rubric design, evaluation set development, validation, and calibration. You will pair these with logging and instrumentation and online experimentation, working alongside the other eval leaders who own different parts of the plan. You will build the roadmap for your components, translate the broader evaluation strategy into concrete methods and deliverables, and make sure your results turn into measurable quality gains and clear inputs to release decisions.
This is a hands-on role. You will review designs and experiments, stay close to the data, and mentor a team of scientists and engineers while you recruit and grow it. You will partner with engineering, applied machine learning, quality assurance, and program management teams, and you will present quality status, risks, and trade-offs for your areas to senior leadership. The product, its architecture, and its quality bar are still taking shape, so you will operate with significant latitude and help shape what "good" and "shippable" mean as the work evolves.
MINIMUM QUALIFICATIONS
- 6+ years of experience in machine learning, data science, or machine learning evaluation, including 3+ years of direct people management of scientists or engineers.
- Track record of hiring, developing, and leading teams of applied scientists, data scientists, or machine learning engineers.
- Hands-on experience building and deploying LLM-based autograders and rubrics, including rubric design, evaluation set development, validation, and calibration.
- Experience evaluating conversational AI, search, recommendation, or ranking systems, using both offline metrics and online experimentation.
- Strong command of statistics and experimental design, including A/B testing and interpreting noisy metrics.
- Exceptional written and verbal communication skills, with a track record of influencing engineers and senior leaders.
PREFERRED QUALIFICATIONS
- MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent experience.
- Experience evaluating agentic or tool-use systems that take real-world actions, including multi-turn behavior, planning, and task completion.
- Experience with relevance and ranking evaluation, including graded relevance judgments and ranking metrics.
- Experience with groundedness and factuality evaluation of generated responses.
- Experience with logging infrastructure and instrumentation for AI product quality measurement.
- Experience generating and validating synthetic evaluation data.
- Experience evaluating systems that integrate with third-party partner APIs.
- Experience with privacy-preserving evaluation practices.
PAY & BENEFITS
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
INTRODUCTION
We are looking for a hands-on Evaluation leader to build and lead a team of applied scientists and machine learning engineers who measure the quality of a new, multi-year Apple initiative. You will join at the start as a key contributor to the evaluation function, working with other eval leaders to establish how the team knows the system is correct, relevant, and trustworthy before and after it ships. You will own specific components of the evaluation plan, including methods, datasets, and automated grading systems that turn product behavior into clear quality signals for engineering and executive leadership.
DESCRIPTION
You will lead a team that designs and runs evaluation for a conversational experience that understands what people ask for, finds and ranks the right results, and allows them to complete tasks. Quality in this product spans several layers: interpreting a request correctly, retrieving and ranking the right results, composing a grounded and accurate response, and executing actions correctly through integrations with external partners. You and your team will be key contributors to the overall evaluation plan for this service and will own the evaluation methods for the layers in your area.
Within your components, you will set the technical direction for large language model (LLM) based autograders and rubrics, including rubric design, evaluation set development, validation, and calibration. You will pair these with logging and instrumentation and online experimentation, working alongside the other eval leaders who own different parts of the plan. You will build the roadmap for your components, translate the broader evaluation strategy into concrete methods and deliverables, and make sure your results turn into measurable quality gains and clear inputs to release decisions.
This is a hands-on role. You will review designs and experiments, stay close to the data, and mentor a team of scientists and engineers while you recruit and grow it. You will partner with engineering, applied machine learning, quality assurance, and program management teams, and you will present quality status, risks, and trade-offs for your areas to senior leadership. The product, its architecture, and its quality bar are still taking shape, so you will operate with significant latitude and help shape what "good" and "shippable" mean as the work evolves.
MINIMUM QUALIFICATIONS
- 6+ years of experience in machine learning, data science, or machine learning evaluation, including 3+ years of direct people management of scientists or engineers.
- Track record of hiring, developing, and leading teams of applied scientists, data scientists, or machine learning engineers.
- Hands-on experience building and deploying LLM-based autograders and rubrics, including rubric design, evaluation set development, validation, and calibration.
- Experience evaluating conversational AI, search, recommendation, or ranking systems, using both offline metrics and online experimentation.
- Strong command of statistics and experimental design, including A/B testing and interpreting noisy metrics.
- Exceptional written and verbal communication skills, with a track record of influencing engineers and senior leaders.
PREFERRED QUALIFICATIONS
- MS or PhD in Computer Science, Machine Learning, Statistics, or a related quantitative field, or equivalent experience.
- Experience evaluating agentic or tool-use systems that take real-world actions, including multi-turn behavior, planning, and task completion.
- Experience with relevance and ranking evaluation, including graded relevance judgments and ranking metrics.
- Experience with groundedness and factuality evaluation of generated responses.
- Experience with logging infrastructure and instrumentation for AI product quality measurement.
- Experience generating and validating synthetic evaluation data.
- Experience evaluating systems that integrate with third-party partner APIs.
- Experience with privacy-preserving evaluation practices.
PAY & BENEFITS
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
See all 40+ E-3 Visa Director Of Projects Jobs
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Get Access To All JobsTips for Finding E-3 Visa Sponsorship in Director Of Projects
Translate your credentials before applying
Australian three-year bachelor's degrees are generally accepted as equivalent to U.S. four-year degrees, but have a credential evaluation ready. USCIS looks for a direct link between your degree field and the Director of Projects role, not just any bachelor's degree.
Target employers with active LCA histories
Search the DOL's Office of Foreign Labor Certification disclosure data for companies that have certified LCAs for project management and director-level roles. Prior LCA filings signal that an employer understands the E-3 visa process and won't stall at the sponsorship conversation.
Frame your title during offer negotiations
Job titles matter for specialty occupation classification. If an offer letter says 'Project Manager' but your responsibilities are director-level, push to have the title reflect the seniority. A mismatch between your title and duties can complicate your LCA and visa documentation.
Confirm the employer files LCAs before accepting
Some U.S. employers have never sponsored a work visa and don't realize the LCA must be certified by DOL before you can attend your consular appointment. Ask HR directly whether they've filed LCAs before and who handles immigration matters internally.
Use Migrate Mate's E-3 filing service for complex filings
Director of Projects roles often involve multiple worksites or phased project assignments, which complicates LCA filings. Migrate Mate's E-3 filing service manages the entire process from offer to consulate appointment, including multi-site LCA requirements your employer may not anticipate.
Prepare for specialty occupation scrutiny at the consulate
Consular officers occasionally question whether a Director of Projects role requires a specific degree rather than general business experience. Bring your degree certificate, any professional certifications like PMP or AIPM, and a detailed offer letter that ties your qualifications directly to the role.
E-3 Visa Director Of Projects: Frequently Asked Questions
How do I find Director of Projects jobs with E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for U.S. roles with E-3 sponsorship. You can filter Director of Projects positions by employers with verified sponsorship history, so you're not cold-applying to companies that have never filed an LCA. Standard job boards don't surface this information, which makes the search far less targeted.
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 Director of Projects role qualify as a specialty occupation for the E-3?
Yes, provided the role genuinely requires a bachelor's degree or higher in a specific field such as engineering, construction management, architecture, or business administration. The key is that the degree must be a stated requirement for the position, not just a preference. If the job description says 'degree preferred,' that can weaken the specialty occupation argument at the consulate.
How does the E-3 compare to the H-1B for a Director of Projects role?
The E-3 has a significant practical advantage: there's no lottery. H-1B visa requires registration in an annual lottery with no guarantee of selection, while E-3 is available year-round exclusively to Australian citizens. Both require an LCA and a qualifying specialty occupation, but E-3 can move from offer to visa stamp in a matter of weeks rather than waiting for an October start date.
Can I switch employers or projects while on an E-3 as a Director of Projects?
You can change employers, but your new employer must file a fresh LCA certified by DOL before you begin working for them. For project-based roles, if you're moving between discrete projects under the same employer, you generally don't need a new LCA unless the worksite, wage, or job duties change materially. Cross-state project moves often trigger a new LCA requirement.