... machine learning applications that were previously thought infeasible. The Video Computer Vision ... We seamlessly balance research and product requirements to deliver pioneering, Apple-quality ...
New
... machine learning applications that were previously thought infeasible. The Video Computer Vision ... We seamlessly balance research and product requirements to deliver pioneering, Apple-quality ...
New
Civil Engineer
Philadelphia, PA · Hybrid
$45 - $60/hr
... and Machine Learning Engineers, and partner with municipalities, transportation authorities ... Apple, Spotify, US Bank, and FedEx, as well as major engineering and construction firms. Adidev ...
Civil Engineer
Philadelphia, PA · Hybrid
$45 - $60/hr
... and Machine Learning Engineers, and partner with municipalities, transportation authorities ... Apple, Spotify, US Bank, and FedEx, as well as major engineering and construction firms. Adidev ...
Civil Engineer
Philadelphia, PA · On-site
$45 - $60/hr
... and Machine Learning Engineers, and partner with municipalities, transportation authorities ... Apple, Spotify, US Bank, and FedEx, as well as major engineering and construction firms. Adidev ...
Civil Engineer
Philadelphia, PA · On-site
$45 - $60/hr
... and Machine Learning Engineers, and partner with municipalities, transportation authorities ... Apple, Spotify, US Bank, and FedEx, as well as major engineering and construction firms. Adidev ...
Are you interested in learning valuable technical skills? U-Haul is seeking a hard-working ... Discounts on Apple products, Dell computers, cell phone plans, hotels, and more * 401(k) Savings ...
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Hitch Installer ($20/hr)
Winslow, NJ · On-site
$20/hr
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Hitch Installer ($20/hr)
Winslow, NJ · On-site
$20/hr
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Hitch Professional
Feasterville, PA · On-site
$14.50 - $18/hr
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Hitch Professional
Feasterville, PA · On-site
$14.50 - $18/hr
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Hitch Installer
Horsham, PA · On-site
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Hitch Installer
Horsham, PA · On-site
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Hitch Installer / Entry Level Mechanic $18-$20
Deptford, NJ · On-site
$18 - $20/hr
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Hitch Installer / Entry Level Mechanic $18-$20
Deptford, NJ · On-site
$18 - $20/hr
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Hitch Professional
Havertown, PA · On-site
$15 - $18.50/hr
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Hitch Professional
Havertown, PA · On-site
$15 - $18.50/hr
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Hitch Professional
Feasterville, PA · On-site
$14.50 - $18/hr
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Hitch Professional
Feasterville, PA · On-site
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Hitch Professional
Norristown, PA · On-site
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Norristown, PA · On-site
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Hitch Professional
$15.92 - $18/hr
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Hitch Professional
$15.92 - $18/hr
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Hitch Professional
Mount Laurel, NJ · On-site
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Mount Laurel, NJ · On-site
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Norristown, PA · On-site
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Norristown, PA · On-site
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Havertown, PA · On-site
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Havertown, PA · On-site
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Hitch Professional
Bristol, PA · On-site
$15 - $18.50/hr
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Hitch Professional
Bristol, PA · On-site
$15 - $18.50/hr
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Hitch Professional
Feasterville, PA · On-site
$14.50 - $18/hr
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Hitch Professional
Feasterville, PA · On-site
$14.50 - $18/hr
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Hitch Installer ($20/hr)
Winslow, NJ · On-site
$20/hr
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Hitch Installer ($20/hr)
Winslow, NJ · On-site
$20/hr
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Hitch Professional
Malvern, PA · On-site
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Malvern, PA · On-site
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Apple Machine Learning information
See Philadelphia, PA salary details
$14.07 - $15.63
3% of jobs
$15.63 - $17.20
7% of jobs
$17.20 - $18.77
6% of jobs
$19.94 is the 25th percentile. Wages below this are outliers.
$18.77 - $20.33
11% of jobs
$20.33 - $21.90
13% of jobs
The median wage is $22.73 / hr.
$21.90 - $23.46
18% of jobs
$23.46 - $25.03
16% of jobs
$25.13 is the 75th percentile. Wages above this are outliers.
$25.03 - $26.59
9% of jobs
$26.59 - $28.16
6% of jobs
$28.16 - $29.73
7% of jobs
$29.73 - $31.29
3% of jobs
$14
$23
$31
How much do apple machine learning jobs pay per hour?
As of Sep 4, 2026, the average hourly pay for apple machine learning in Philadelphia, PA is $23.03, according to ZipRecruiter salary data. Most workers in this role earn between $19.90 and $25.72 per hour, depending on experience, location, and employer.
What is an Apple machine learning engineer?
An Apple Machine Learning Engineer is a professional who develops, implements, and optimizes machine learning models and algorithms for Apple’s products and services. They work on projects such as Siri, computer vision, natural language processing, and personalized user experiences across Apple devices. Their role includes collaborating with software engineers, data scientists, and product teams to deliver intelligent features and improve device performance. These engineers use advanced tools and frameworks, such as Core ML and TensorFlow, to deploy scalable solutions that enhance Apple’s ecosystem.
What are the key skills and qualifications needed to thrive as an Apple machine learning engineer?
To thrive as an Apple Machine Learning Engineer, you need a solid background in computer science, mathematics, and statistics, typically with a relevant degree and experience in designing and deploying machine learning models. Familiarity with programming languages such as Python or Swift, machine learning frameworks like TensorFlow or PyTorch, and experience using Apple's ML tools such as Core ML are essential. Problem-solving ability, creativity, and strong collaboration and communication skills distinguish top performers in this role. These skills and qualities are crucial for developing innovative, scalable solutions that drive Apple's intelligent product features and user experiences.
How do Apple machine learning engineers typically collaborate with cross-functional teams during product development?
Apple Machine Learning engineers frequently work closely with product managers, software engineers, and designers to integrate machine learning solutions into Apple's hardware and software products. Collaboration often involves regular meetings to align on project goals, sharing model performance metrics, and iterating on data-driven features based on user feedback. This cross-functional teamwork ensures that machine learning models are both technically robust and aligned with Apple's user experience standards. The fast-paced, collaborative environment at Apple encourages engineers to communicate clearly and proactively solve problems with colleagues from diverse backgrounds.
What is the difference between Apple Machine Learning vs Data Scientist?
| Aspect | Apple Machine Learning | Data Scientist |
|---|---|---|
| Required Credentials | Degree in Computer Science, Data Science, or related fields; experience with ML frameworks | Degree in Statistics, Computer Science, or related fields; strong analytical skills |
| Work Environment | Tech company, R&D labs, product teams | Varied industries, research, consulting, corporate settings |
| Industry Usage | Consumer electronics, software, AI products | Business analytics, market research, product development |
| Common Search/Comparison | Yes | Yes |
Apple Machine Learning specialists focus on developing ML models for Apple products and services, often requiring deep technical expertise in ML frameworks. Data Scientists analyze data to extract insights, supporting business decisions across various industries. While both roles involve data analysis and programming, Apple Machine Learning roles are more specialized in AI model development within the tech industry, whereas Data Scientists have broader applications across sectors.
What are popular job titles related to Apple Machine Learning jobs in Philadelphia, PA?
For Apple Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Apple Machine Learning jobs in Philadelphia, PA look for?
The top searched job categories for Apple Machine Learning jobs in Philadelphia, PA are:
- Artificial Intelligence Machine Learning Engineer
- Ai Machine Learning Drug Discovery
- Ai Math Analyst
- Impact Of Artificial Intelligence On
- Reinforcement Learning
- Remote Artificial Intelligence Testing
- Patterned Learning Ai
- Freelance Artificial Intelligence Machine Learning
- Postdoctoral Fellow Machine Learning
- Learning Disability
Full-time
Posted 3 days ago
New
Apple rating
8.1
Based on 681 frontline employees who took The Breakroom Quiz
6th of 30 rated technology retailers
Job description
The incredible potential of multimodal foundation models and large language models has unlocked machine learning applications that were previously thought infeasible. The Video Computer Vision (VCV) group is looking for a highly motivated and skilled Machine Learning Systems Engineer to help us ship cutting-edge computer vision technology on Apple devices.
The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly balance research and product requirements to deliver pioneering, Apple-quality experiences. By innovating across the full stack and partnering closely with hardware, software, and AI teams, we shape future products and bring our architectural vision to life.
Description
As a member of the Video Computer Vision team, you will train, evaluate, and deploy purpose-built vision models on Apple hardware. You will develop innovative techniques to optimize model performance, efficiency, and scalability, ensuring a seamless user experience under strict on-device constraints.
Minimum Qualifications
Bachelor's degree in Computer Science, Machine Learning, or a related discipline, and 3+ years of relevant industry experience.
Strong ML fundamentals.
Proven track record of writing high-quality production code for shipped on-device CV/ML features deployed on embedded platforms
Solid understanding of operating system fundamentals and extensive programming experience in Python and C++.
Hands-on experience with PyTorch and familiarity with the end-to-end ML lifecycle (data preprocessing, training, evaluation, and edge deployment).
Experience with Supervised Fine-Tuning (SFT) pipelines to adapt vision and multimodal foundation models for specialized, on-device downstream tasks.
Robust foundational understanding of machine learning architectures, specifically Multimodal LLMs and the integration of ML components into complex production systems.
Preferred Qualifications
Programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit frameworks.
Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops.
Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile GPUs).
The VCV organization has pioneered groundbreaking features like FaceID/FaceKit, Gaze/Hand Gesture Control, Body Tracking, and 2D/3D Scene Understanding fundamentally changing how millions of users interact with technology. We seamlessly balance research and product requirements to deliver pioneering, Apple-quality experiences. By innovating across the full stack and partnering closely with hardware, software, and AI teams, we shape future products and bring our architectural vision to life.
Description
As a member of the Video Computer Vision team, you will train, evaluate, and deploy purpose-built vision models on Apple hardware. You will develop innovative techniques to optimize model performance, efficiency, and scalability, ensuring a seamless user experience under strict on-device constraints.
Minimum Qualifications
Bachelor's degree in Computer Science, Machine Learning, or a related discipline, and 3+ years of relevant industry experience.
Strong ML fundamentals.
Proven track record of writing high-quality production code for shipped on-device CV/ML features deployed on embedded platforms
Solid understanding of operating system fundamentals and extensive programming experience in Python and C++.
Hands-on experience with PyTorch and familiarity with the end-to-end ML lifecycle (data preprocessing, training, evaluation, and edge deployment).
Experience with Supervised Fine-Tuning (SFT) pipelines to adapt vision and multimodal foundation models for specialized, on-device downstream tasks.
Robust foundational understanding of machine learning architectures, specifically Multimodal LLMs and the integration of ML components into complex production systems.
Preferred Qualifications
Programming experience with Swift and familiarity with CoreML, CoreFoundation, and RealityKit frameworks.
Fundamental knowledge of real-time video pipelines, image transformations, and rendering loops.
Experience optimizing models for neural network accelerators (e.g., Apple Neural Engine or mobile GPUs).
About Apple
Sourced by ZipRecruiter
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, intelligent 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 real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Cupertino, CA, US
Year founded
1976