Operations Engineer Jobs at Apple with Visa Sponsorship
Operations Engineer jobs at Apple sit at the intersection of hardware manufacturing, supply chain systems, and process optimization. Apple has a well-established sponsorship infrastructure for engineering functions, supporting a range of work visa categories so qualified candidates from outside the U.S. can pursue long-term careers here.
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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
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Plan, execute, and track internal ML data collection studies in close collaboration with researchers, engineers, and scientists across the organization
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Develop a working understanding of the ML experiments being supported, including model objectives, data requirements, labeling, and evaluation criteria, to ensure datasets quality
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Bring up and maintain pre-release hardware and software platforms used for data collection, performing hands-on troubleshooting and triage to minimize study disruptions
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Create and maintain clear technical documentation for hardware/software platform setup, study protocols, and data handling procedures
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Manage day-to-day logistics of internal study sessions, including scheduling participants, configuring hardware and software setups, and maintaining smooth session flow
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Collaborate with algorithm, infrastructure, and hardware/software teams to gather and validate data collection requirements before and during study execution
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Track and communicate study progress, blockers, participant throughput, and dataset status to cross-functional partners and senior stakeholders
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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
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3+ years of experience in user research operations, data collection coordination, or a related technical operations role.
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Hands-on familiarity with ML data pipelines, annotation tools, or dataset management practices.
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Experience working directly with engineering and science teams, with comfort reading technical documentation, data schemas, or experiment specifications.
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Familiarity with handling sensitive human data and adhering to strict privacy and consent protocols.
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Highly organized self-starter who can manage multiple concurrent internal studies with minimal oversight.
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Strong interpersonal and written communication skills, with the ability to collaborate fluidly across both technical and non-technical stakeholders.
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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 $150,400 and $225,300, 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.
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Get Access To All JobsTips for Finding Operations Engineer Jobs at Apple
Align your resume to Apple's operations stack
Apple's Operations Engineer roles emphasize NPI (new product introduction), supplier quality systems, and manufacturing process design. Frame your experience around those specific areas rather than generic engineering credentials to clear initial screening filters.
Target roles tied to specific product lines
Apple posts Operations Engineer openings across distinct hardware programs like Mac, iPhone, and accessories. Applying to a role tied to a product line you have direct manufacturing experience in strengthens your case for both the hiring manager and the LCA specialty occupation determination.
Confirm your visa category before the offer stage
Apple sponsors multiple work visa types for this function. Know in advance whether your situation calls for an H-1B, E-3, H-1B1 visa, or TN so you can have an informed conversation with the recruiting team before an offer is extended.
Prepare an equivalency assessment for your degree
USCIS requires that your degree directly support the specialty occupation. If your engineering degree is from outside the U.S. or is in a tangentially related field, get a credential evaluation done before you receive an offer to avoid delays in the I-129 filing.
Track the DOL prevailing wage for your work location
Apple operates engineering sites across multiple states including California and Texas. The Labor Condition Application ties your offered wage to the DOL prevailing wage for the specific work location, so verify that the role's compensation aligns with the correct wage level for your experience tier.
Use Migrate Mate to find open roles that sponsor
Operations Engineer openings at Apple can be spread across product teams and locations. Use Migrate Mate to filter and browse open positions at Apple that include visa sponsorship, so you're applying to roles with a confirmed path rather than guessing from general job boards.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Operations Engineers?
Yes, Apple sponsors H-1B visas for Operations Engineer roles. Because the H-1B is subject to an annual lottery, Apple typically submits registrations in March for a late-September start date. If you're already in H-1B status with another employer, Apple can file a transfer petition outside the lottery, which significantly simplifies the timeline.
How do I apply for Operations Engineer jobs at Apple?
Apply directly through Apple's careers portal or browse open roles on Migrate Mate, which filters for positions with confirmed visa sponsorship. Focus your application on hardware operations experience relevant to Apple's product lines, such as NPI processes, supplier management, or yield improvement programs. Tailoring your resume to the specific product team's scope improves your chances of clearing automated screening.
Which visa types does Apple commonly use for Operations Engineer roles?
Apple sponsors H-1B, H-1B1 visa, E-3 visa, TN visa, and F-1 OPT or CPT for Operations Engineer positions. Australian citizens can pursue the E-3 visa, which has no lottery. Canadian and Mexican nationals may qualify for the TN visa under USMCA. F-1 students completing engineering programs can use OPT or CPT to start working while a longer-term petition is prepared.
What qualifications does Apple expect for Operations Engineer roles?
Most Operations Engineer roles at Apple require a bachelor's degree in industrial engineering, mechanical engineering, electrical engineering, or a closely related field. Apple places strong emphasis on experience with manufacturing processes, supply chain systems, and data-driven quality improvement. Advanced degrees or direct experience with consumer electronics manufacturing can strengthen your profile, particularly for senior-level postings.
How long does the visa sponsorship process take for an Apple Operations Engineer offer?
Timeline depends on visa type. An E-3 or TN can be obtained in weeks since neither requires USCIS petition approval. A new H-1B requires waiting for the annual lottery, which runs March through September. USCIS standard H-1B processing takes three to six months after filing, though Apple may elect premium processing to reduce that to 15 business days.