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Urgently Hiring Apple Machine Learning Engineer Jobs

Apple

Machine Learning Engineer

Cupertino, CA · On-site

At Apple, great ideas have a way of becoming great products, services, and customer experiences ... As a Machine Learning Engineer on our core AI/ML team, you will design and build GenAI-powered ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA

$212K - $318.40K/yr

Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

Apple

Senior Machine Learning Engineer

Cupertino, CA · On-site

$151.10K - $199.20K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

Are you interested in enhancing the capabilities of Siri and Apple products to benefit our users ... Our team comprises a diverse range of backgrounds, including applied machine learning engineers ...

Apple

Senior Machine Learning Engineer

Cambridge, MA · On-site

$133.90K - $176.50K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$121.40K - $160.10K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Apple

Machine Learning Engineer - LLM

Cupertino, CA · On-site

At Apple, new ideas have a way of becoming extraordinary products, services, and customer ... We are seeking a highly capable and dynamic Machine Learning Engineer to work cross-functional in ...

Apple

Senior Machine Learning Engineer

Cupertino, CA · On-site

$181.10K - $318.40K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Apple

Senior Machine Learning Engineer

Austin, TX · On-site

$181.10K - $318.40K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

Apple

Camera Machine Learning Engineer

Bodega Bay, CA

$147.40K - $272.10K/yr

Join Apple's Camera Hardware Engineering team and help us redefine the camera experience for ... Description As a Machine Learning Engineer in the Camera Hardware Engineering group you will be ...

Apple

Senior Machine Learning Engineer

Austin, TX

$181.10K - $318.40K/yr

The people here at Apple don't just create products - they build the kind of wonder that ... Machine Learning Engineer. This role will assist our Online Retail Decision Automation team by ...

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How much do urgently hiring apple machine learning engineer jobs pay per year?

As of May 29, 2026, the average yearly pay for urgently hiring apple machine learning engineer in the United States is $96,970.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $110,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Apple Machine Learning Engineer, and why are they important?

To thrive as an Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and machine learning principles, often supported by a relevant degree and experience with model development. Proficiency with Python, TensorFlow or PyTorch, and familiarity with macOS/iOS development tools like Core ML are typically required. Strong problem-solving, collaboration, and communication skills help engineers to innovate and work effectively across multidisciplinary teams. These competencies are crucial for driving impactful AI solutions that enhance Apple’s products and user experiences.

What are common collaboration practices for Apple Machine Learning Engineers working on product teams?

Apple Machine Learning Engineers typically collaborate closely with cross-functional teams, including software engineers, product managers, and data scientists. Collaboration often involves regular meetings to align on project goals, integrating machine learning models into production systems, and jointly troubleshooting issues that arise during development. Engineers are encouraged to share findings and best practices, leveraging Apple's internal tools and documentation to ensure that models are robust, scalable, and meet Apple's privacy standards. The work environment emphasizes innovation, open communication, and a high standard of quality, which means collaboration is both structured and dynamic.

What does an Apple Machine Learning Engineer do?

An Apple Machine Learning Engineer designs, builds, and deploys machine learning models and algorithms that enhance Apple’s products and services. They collaborate with cross-functional teams to develop innovative solutions, optimize existing machine learning systems, and ensure models run efficiently on Apple hardware and software platforms. Their work includes data analysis, model training, and performance tuning, often focusing on privacy, scalability, and user experience.

What is the difference between Urgently Hiring Apple Machine Learning Engineer vs Apple Data Scientist?

AspectApple Machine Learning EngineerApple Data Scientist
Required CredentialsBachelor's or higher in CS, ML, or related; experience with ML frameworksBachelor's or higher in CS, Statistics, or related; strong analytical skills
Work EnvironmentDeveloping ML models, deploying AI solutions, coding in Python, TensorFlowAnalyzing data, creating reports, statistical modeling, data visualization
Employer & Industry UsageTech companies, AI/ML product teams, innovation labsTech companies, analytics teams, product development

While both roles involve working with data and algorithms at Apple, the Machine Learning Engineer focuses on building and deploying ML models, whereas the Data Scientist emphasizes analyzing data and deriving insights. The roles overlap but differ mainly in technical focus and daily tasks.

What cities are hiring for Urgently Hiring Apple Machine Learning Engineer jobs? Cities with the most Urgently Hiring Apple Machine Learning Engineer job openings:
What are the most commonly searched types of Apple Machine Learning Engineer jobs? The most popular types of Apple Machine Learning Engineer jobs are:
What states have the most Urgently Hiring Apple Machine Learning Engineer jobs? States with the most job openings for Urgently Hiring Apple Machine Learning Engineer jobs include:
Urgently Hiring Apple Machine Learning Engineer jobs near you
AIML - Machine Learning Engineer, Foundation Models

AIML - Machine Learning Engineer, Foundation Models

Apple

Cupertino, CA • On-site

$181.10K - $318.40K/yr

Full-time

Medical, Dental, Retirement

Posted 25 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers

Job description

Apple is revolutionizing artificial intelligence by developing sophisticated foundation models that power intelligent features across our product ecosystem. We're seeking skilled Machine Learning Engineers to transform cutting-edge research into scalable, production-ready AI solutions.
We are looking for engineers who are passionate about building systems that push the frontier of deep learning in terms of scaling, efficiency, and flexibility and delight millions of users in Apple products.
Description
We build frontier foundation models that power intelligent experiences at Apple. Our team works across the full training lifecycle: including pre-training foundation models, and developing mid-training approaches that bridge general capability and task-specific performance. What makes our work distinct is that we're engineering models specifically for Apple silicon and optimized for experiences that are private, personal, and deeply integrated into the OS. We're solving frontier problems in reward modeling to resist reward hacking, handling sparse and delayed rewards in agentic settings, and aligning models reliably across the spectrum from open-ended creative tasks to precise, action-taking workflows. If you're drawn to hard problems where the research and the product are inseparable, this is the team.","responsibilities":"Design and implement scalable, reliable and high-performance machine learning infrastructure for foundation models across text, image, speech, and multi-modal domains
Collaborate with other teams to productionize state-of-the-art AI algorithms
Optimize models for performance, efficiency, and on-device intelligence
Implement machine learning systems with stringent privacy and security requirements
May also be required to manage a small team of engineers.
Preferred Qualifications
Experience with foundation models and large language models
Background in multi-modal AI systems
Demonstrated ability to transform research prototypes into production systems
Published research or significant contributions to open-source ML projects
Understanding of on-device machine learning techniques
Minimum Qualifications
MS or PhD in Computer Science, Machine Learning, or related technical field
Expert-level programming skills in Python
Proficiency in machine learning frameworks such as Jax, PyTorch, TensorFlow
Strong background in: Distributed training, Model optimization, and Machine learning infrastructure
Experience with large-scale model training and deployment
Familiarity with: Kubernetes, Docker, Cloud platforms (AWS, GCP, Azure)
Distributed computing frameworks
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 $181,100 and $318,400, 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.

What Apple employees say

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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

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