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Urgently Hiring Apple Machine Learning Engineer Jobs

Apple

Machine Learning Engineer

San Diego, CA · On-site

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

Apple

Sr. Machine Learning Engineer - Apple News

Cupertino, CA · On-site

$128K - $177K/yr

Apple News is seeking an experienced Machine Learning Engineer to build, operate, and scale the systems that power intelligent features for millions of people every day. In this role, you will bring ...

Apple

Machine Learning Engineer

San Diego, CA

$142K - $263K/yr

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal ...

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

As of Jul 14, 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.

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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
Machine Learning Engineer

Machine Learning Engineer

Apple

San Diego, CA • On-site

Full-time

Re-posted 6 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers

Job description

Apple's Health Sensing team is seeking a versatile Machine Learning Engineer to develop next-generation health algorithms that deliver meaningful insights to users by combining classical ML, signal processing, and emerging generative AI techniques. Our team has delivered impactful features including heart rate notifications, ECG, blood oxygen, sleep apnea notifications, and overnight vitals to millions of Apple Watch users.
Description
This role is ideal for an engineer who enjoys moving quickly from idea to prototype to product, creatively overcoming data limitations, and applying new tools to multi-modal sensor fusion problems in health and wellness. You will work across the full algorithm lifecycle including data strategy, modeling, evaluation, optimization, and deployment.
Minimum Qualifications
Bachelors degree in Computer Science, Electrical Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or related field, or equivalent industry experience.
Strong foundation in machine learning, statistics, signal processing, or applied mathematics for real-world sensing problems
Experience applying modern AI techniques, including generative AI and agentic AI, to accelerate algorithm development, data generation, and performance evaluation
Proficiency in Python for algorithm development and optimization
Demonstrated ability to rapidly prototype, evaluate multiple approaches, and iterate based on experimental results
Experience owning algorithm development from early exploration through validation and integration
Preferred Qualifications
Experience developing algorithms for physiological sensing using multi-modal data
Familiarity with on-device ML frameworks or resource-constrained optimization
Experience working with incomplete, noisy, or limited datasets
Background in experimental design and statistical validation
Experience with distributed or cloud-based ML workflows
Experience accelerating development through simulation, synthetic data, or creative data augmentation approaches
Self-driven, curious engineer comfortable taking ambiguous sensing problems from concept to working solutions

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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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