Machine Learning Manager Jobs at Apple with Visa Sponsorship
Machine Learning Manager jobs at Apple sit at the intersection of research leadership and product scale, overseeing teams that ship ML capabilities across hardware, software, and services. Apple sponsors multiple visa categories for this function, making it a realistic target for international candidates with strong technical leadership backgrounds.
Find Machine Learning Manager Jobs at AppleOverview
Showing 5 of 295+ Machine Learning Manager Jobs at Apple
See all 295+ Machine Learning Manager Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Manager Jobs at Apple.
Get Access To All JobsINTRODUCTION
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting-edge machine learning models that power magical user experiences on Apple's hardware and software platforms.
The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to Apple devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to execute these models as efficiently as possible, and the benchmarking, analysis and debugging toolchain needed to improve on new model iterations.
This infrastructure underpins most of Apple's critical machine learning workflows across Camera, Siri, Health, Vision, etc., and as such is an integral part of Apple Intelligence.
Our group is seeking an Engineering Manager to lead the Performance Tools and Services team, with a focus on the tools, services, and infrastructure that make on-device ML performance measurable, understandable, and improvable. The team is responsible for the frontend web services for introspecting ML models and their on-device execution, the backend web services that power them, and the on-device toolchain that gathers low-level performance data, associates it with high-level (PyTorch) framework-level ops, and reports it. The team is also responsible for the infrastructure for running ML inference across fleets of devices.
DESCRIPTION
We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple's vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis.
This role focuses on giving ML developers fast, accurate, and actionable insight into how their models execute on Apple devices. We're looking for a manager that has proven experience in and passion for providing high quality developer tools and capabilities in the fast paced and dynamic space of ML.
As the manager in this role, you will lead a diverse team spanning full-stack web development, backend services, distributed systems, and low-level on-device performance tooling. You will partner with leaders across the organization and company to develop our platform while supporting clients internally and externally.
The role requires a solid technical understanding of ML execution on device, performance analysis and profiling, and the systems that connect low-level signals to framework-level (e.g., PyTorch) semantics.
Responsibilities
-
Leading and growing the team that builds the frontend web services for introspecting ML models and their on-device execution, the backend services that support them, and the on-device toolchain for gathering and reporting low-level performance data.
-
Driving future efforts to improve the “model authoring performance profiling improve model repeat“ workflow, making it faster and more insightful for ML developers.
-
Owning the infrastructure for running ML inference across fleets of devices, ensuring it is reliable, scalable, and produces trustworthy performance data.
-
Attracting, hiring, and guiding the career of talented ML, software, and tools engineers.
-
Working with cross functional partners to push the state-of-the-art of on-device ML functionality and performance.
MINIMUM QUALIFICATIONS
-
BS/MS/PhD in Computer Science or Electrical Engineering.
-
Two or more years of strong and validated management experience.
-
Knowledge of ML development and workflows, including at least one authoring framework experience (e.g., PyTorch).
-
Experience delivering web services and/or developer-facing tools, spanning frontend and backend.
-
Excellent communication skills.
-
Track record of creating clean software architectures, intuitive designs, and high-performance extensible software.
-
Solid programming skills in at least one of the following languages: Python, Swift, Objective-C, C/C++.
PREFERRED QUALIFICATIONS
-
Experience with on-device ML frameworks (Core ML, Win ML, ONNX, TF Lite or ExecuTorch).
-
Experience with performance profiling, benchmarking, and analysis tooling.
-
Experience building and operating infrastructure for running workloads across fleets of devices.
-
Experience associating low-level performance data with framework-level operations.
-
Experience with MLIR / LLVM compiler technologies.
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
The On-Device Machine Learning team at Apple is responsible for enabling the Research to Production lifecycle of cutting-edge machine learning models that power magical user experiences on Apple's hardware and software platforms.
The team builds critical infrastructure that begins with onboarding the latest machine learning architectures to Apple devices, optimization toolkits to optimize these models to better suit the target devices, machine learning compilers and runtimes to execute these models as efficiently as possible, and the benchmarking, analysis and debugging toolchain needed to improve on new model iterations.
This infrastructure underpins most of Apple's critical machine learning workflows across Camera, Siri, Health, Vision, etc., and as such is an integral part of Apple Intelligence.
Our group is seeking an Engineering Manager to lead the Performance Tools and Services team, with a focus on the tools, services, and infrastructure that make on-device ML performance measurable, understandable, and improvable. The team is responsible for the frontend web services for introspecting ML models and their on-device execution, the backend web services that power them, and the on-device toolchain that gathers low-level performance data, associates it with high-level (PyTorch) framework-level ops, and reports it. The team is also responsible for the infrastructure for running ML inference across fleets of devices.
DESCRIPTION
We are building the first end-to-end developer experience for ML development that, by taking advantage of Apple's vertical integration, allows developers to iterate on model authoring, optimization, transformation, execution, debugging, profiling and analysis.
This role focuses on giving ML developers fast, accurate, and actionable insight into how their models execute on Apple devices. We're looking for a manager that has proven experience in and passion for providing high quality developer tools and capabilities in the fast paced and dynamic space of ML.
As the manager in this role, you will lead a diverse team spanning full-stack web development, backend services, distributed systems, and low-level on-device performance tooling. You will partner with leaders across the organization and company to develop our platform while supporting clients internally and externally.
The role requires a solid technical understanding of ML execution on device, performance analysis and profiling, and the systems that connect low-level signals to framework-level (e.g., PyTorch) semantics.
Responsibilities
-
Leading and growing the team that builds the frontend web services for introspecting ML models and their on-device execution, the backend services that support them, and the on-device toolchain for gathering and reporting low-level performance data.
-
Driving future efforts to improve the “model authoring performance profiling improve model repeat“ workflow, making it faster and more insightful for ML developers.
-
Owning the infrastructure for running ML inference across fleets of devices, ensuring it is reliable, scalable, and produces trustworthy performance data.
-
Attracting, hiring, and guiding the career of talented ML, software, and tools engineers.
-
Working with cross functional partners to push the state-of-the-art of on-device ML functionality and performance.
MINIMUM QUALIFICATIONS
-
BS/MS/PhD in Computer Science or Electrical Engineering.
-
Two or more years of strong and validated management experience.
-
Knowledge of ML development and workflows, including at least one authoring framework experience (e.g., PyTorch).
-
Experience delivering web services and/or developer-facing tools, spanning frontend and backend.
-
Excellent communication skills.
-
Track record of creating clean software architectures, intuitive designs, and high-performance extensible software.
-
Solid programming skills in at least one of the following languages: Python, Swift, Objective-C, C/C++.
PREFERRED QUALIFICATIONS
-
Experience with on-device ML frameworks (Core ML, Win ML, ONNX, TF Lite or ExecuTorch).
-
Experience with performance profiling, benchmarking, and analysis tooling.
-
Experience building and operating infrastructure for running workloads across fleets of devices.
-
Experience associating low-level performance data with framework-level operations.
-
Experience with MLIR / LLVM compiler technologies.
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 295+ Machine Learning Manager Jobs at Apple
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Machine Learning Manager Jobs at Apple.
Get Access To All JobsTips for Finding Machine Learning Manager Jobs at Apple
Align your portfolio with Apple's ML stack
Apple's ML work spans on-device inference, neural engine optimization, and privacy-preserving models. Frame your experience around deployment constraints and hardware-software co-design, not just model accuracy metrics, so your background maps directly to what hiring managers evaluate.
Target roles requiring cross-functional team leadership
Apple structures ML Manager roles around owning both research direction and engineering execution across product groups. Highlight experience managing mixed teams of researchers and engineers shipping to production, which differentiates you from pure research or pure engineering management candidates.
Prepare your credentials for specialty occupation documentation
For H-1B sponsorship, USCIS requires evidence that the role is a specialty occupation. Gather transcripts, any advanced degree certifications, and documentation of progressively specialized ML work early, before the offer stage, so Apple's immigration counsel can move quickly.
Time your application around H-1B cap and OPT windows
If you're on F-1 OPT, Apple can file an H-1B cap-subject petition in April for an October 1 start. Confirm your OPT expiration date before accepting an offer so your employer's counsel has enough runway to bridge any gap with a cap-gap extension.
Use Migrate Mate to filter verified Apple ML sponsorship openings
Apple posts Machine Learning Manager roles across multiple business units and career sites. Use Migrate Mate to filter active Apple roles that align with your target visa type, so you're applying to positions where sponsorship is already confirmed rather than assumed.
Ask explicitly about PERM timing if you want a Green Card path
For EB-2 or EB-3 sponsorship, Apple's immigration team initiates the DOL PERM labor certification process. Ask during offer negotiation whether Apple starts PERM within the first year of employment, since the earlier you file, the earlier your priority date is established.
Frequently Asked Questions
Does Apple sponsor H-1B visas for Machine Learning Managers?
Yes, Apple sponsors H-1B visas for Machine Learning Manager roles. The H-1B is the most common work visa path for this position given the degree requirements and specialized nature of the work. Apple also sponsors the H-1B1 visa for Singaporean and Chilean nationals, and the E-3 visa for Australian citizens, offering alternatives that bypass the H-1B lottery entirely.
How do I apply for Machine Learning Manager jobs at Apple?
Apply directly through Apple's careers site or use Migrate Mate to browse verified Machine Learning Manager openings at Apple filtered by your visa type. Apple's hiring process for this level typically includes a recruiter screen, technical assessments on ML system design and leadership scenarios, and several rounds of cross-functional interviews before an offer is extended.
Which visa types does Apple commonly use for Machine Learning Manager roles?
Apple sponsors H-1B, H-1B1 visa, E-3, and TN visas for nonimmigrant work authorization in this role. For permanent residency, Apple files EB-2 and EB-3 petitions through the DOL PERM labor certification process. F-1 OPT and CPT are also supported, giving candidates already in the U.S. on student status a bridge while H-1B sponsorship is initiated.
What qualifications does Apple expect for a Machine Learning Manager?
Apple typically expects a graduate degree in machine learning, computer science, or a related field, combined with demonstrated experience managing ML teams that have shipped products at scale. Hands-on technical depth is weighted heavily alongside leadership credentials. Experience with on-device ML, privacy-preserving techniques, or Apple's Neural Engine is a distinguishing factor at the manager level.
How do I handle the timing between an Apple offer and my visa filing?
Once Apple extends an offer, their immigration counsel files the Labor Condition Application with the DOL before submitting the H-1B petition to USCIS. The full process from offer to approved status can take three to six months without premium processing. If you're transferring from another employer, Apple can file an H-1B transfer petition and you can start on a receipt notice under portability rules.