E-3 Visa Sr Staff Machine Learning Engineer Jobs
Sr Staff Machine Learning Engineer roles qualify for E-3 visa sponsorship as specialty occupations requiring at least a bachelor's degree in computer science, statistics, or a related field. The E-3 has no lottery and no annual cap, making it a reliable path for Australian professionals targeting senior-level ML positions at U.S. employers.
Find E-3 Visa Sr Staff Machine Learning Engineer JobsOverview
Showing 5 of 1,432+ Sr Staff Machine Learning Engineer jobs










See all 1,432+ Sr Staff Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Sr Staff Machine Learning Engineer roles.
Get Access To All Jobs
Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, smart people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us to help deliver the next groundbreaking Apple product.
Do you love working on challenges that no one has solved yet? As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming products that will delight and inspire millions of Apple's customers every single day.
Description
Apple's ML Data Operations group is seeking a Data Operations Engineer to support internal data collection efforts powering our next generation of consumer machine learning features. In this role, you will work shoulder-to-shoulder with full-time Apple scientists and engineers, not just coordinating logistics, but developing a genuine technical understanding of the ML experiments you support. You will be responsible for the hands-on bring-up, execution, and quality oversight of internal data collection studies, operating in a highly collaborative and technically demanding cross-functional environment.
Responsibilities:
- Plan, execute, and track internal ML data collection studies in close collaboration with researchers, engineers, and scientists across the organization
- Develop a working understanding of the ML experiments being supported, including model objectives, data requirements, labeling, and evaluation criteria, to ensure datasets quality
- Bring up and maintain pre-release hardware and software platforms used for data collection, performing hands-on troubleshooting and triage to minimize study disruptions
- Create and maintain clear technical documentation for hardware/software platform setup, study protocols, and data handling procedures
- Manage day-to-day logistics of internal study sessions, including scheduling participants, configuring hardware and software setups, and maintaining smooth session flow
- Collaborate with algorithm, infrastructure, and hardware/software teams to gather and validate data collection requirements before and during study execution
- Track and communicate study progress, blockers, participant throughput, and dataset status to cross-functional partners and senior stakeholders
- Identify gaps in existing workflows and take initiative to define, document, and socialize process improvements
Minimum Qualifications
- Bachelor’s degree in HCI, Cognitive Science, Psychology, Engineering, Operations, or equivalent combination of education and relevant experience
- Experience supporting or executing human user studies, behavioral research, or data collection operations in an academic or industry setting
- Track record of partnering with ML engineers or researchers to define data requirements, quality standards, or collection specifications
Preferred Qualifications
- 10 years of experience in user research operations, data collection coordination, or a related technical operations role
- Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices
- Experience working directly with engineering and science teams, with comfort reading technical documentation, data schemas, or experiment specifications
- Familiarity with handling sensitive human data and adhering to strict privacy and consent protocols
- Highly organized self-starter who can manage multiple concurrent internal studies with minimal oversight
- Strong interpersonal and written communication skills, with the ability to collaborate fluidly across both technical and non-technical stakeholders
- Strong attention to detail with the ability to identify data anomalies and inconsistencies during live collection
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $184,700 and $324,800, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.
See all 1,432+ E-3 Visa Sr Staff Machine Learning Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new E-3 Visa Sr Staff Machine Learning Engineer Jobs.
Get Access To All JobsTips for Finding E-3 Visa Sponsorship as a Sr Staff Machine Learning Engineer
Align your credentials to specialty occupation standards
USCIS evaluates E-3 visa eligibility by matching your degree field to the role's requirements. A staff-level ML engineer role typically demands a degree in computer science, mathematics, or statistics, so make sure your Australian credentials and transcripts reflect that alignment before applying.
Target employers with active LCA filing history
DOL Labor Condition Application records are public. Focus your search on companies that have filed LCAs for ML engineer roles before, as they already understand the E-3 process and won't treat your visa as an obstacle during offer negotiations.
Clarify E-3 vs H-1B early in recruiter conversations
Many U.S. recruiters default to H-1B visa sponsorship language. Tell them upfront you hold Australian citizenship and qualify for the E-3, which has no lottery and no cap, so there's no risk of filing and losing your slot before you start.
Use Migrate Mate's E-3 filing service for your LCA and paperwork
Once you have an offer, Migrate Mate's E-3 filing service manages the LCA filing with DOL, prepares your visa application, and gets you ready for your consulate appointment, without the cost of a full immigration law firm.
Negotiate your start date around LCA certification timing
DOL typically certifies LCAs within seven business days, but building buffer into your start date protects both you and the employer if there are delays. Agree on a conditional start date after your visa interview, not before LCA certification.
Get your Australian degree assessed for U.S. equivalency
A three-year Australian bachelor's degree is generally accepted as equivalent to a four-year U.S. degree for E-3 purposes, but having a formal equivalency evaluation from a NACES-member credential evaluator strengthens your petition if a consular officer raises questions.
E-3 Visa Sr Staff Machine Learning Engineer: Frequently Asked Questions
How do I find Sr Staff Machine Learning Engineer jobs that offer E-3 visa sponsorship?
Migrate Mate is built specifically for Australian professionals searching for E-3 sponsorship roles in the U.S. Rather than filtering through generic job boards, you can search directly for Sr Staff Machine Learning Engineer positions at employers with active E-3 and LCA filing history, cutting out companies unlikely to sponsor before you invest time in applications.
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 Sr Staff Machine Learning Engineer role qualify as a specialty occupation for the E-3?
Yes. Sr Staff Machine Learning Engineer roles require at least a bachelor's degree in computer science, statistics, mathematics, or a closely related field, which meets the DOL and USCIS specialty occupation standard. The senior and staff-level designation typically involves advanced modeling, architecture decisions, and cross-functional leadership, all of which reinforce the theoretical and practical degree requirement.
How does the E-3 compare to the H-1B for Australian ML engineers?
The E-3 has a 10,500 annual allocation that has never been exhausted, so there's no lottery and no cap risk. The H-1B is subject to an oversubscribed annual lottery with roughly a one-in-four selection rate. For Australian citizens targeting senior ML roles, the E-3 offers a predictable, repeatable path that doesn't depend on random selection.
Can I switch employers on an E-3 while working as a Sr Staff Machine Learning Engineer?
Yes, but the E-3 is employer-specific, so your new employer needs to file a fresh LCA with DOL and you'll need a new visa stamp before starting. There's no portability provision like H-1B has under AC21. Plan your transition around the LCA certification timeline and schedule your consulate appointment before your current visa expires if you're doing an international renewal.