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Entry Level Apple Machine Learning Engineer Jobs

Apple

AIML - Machine Learning Engineer, MIND

Seattle, WA

$142K - $263K/yr

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have ... The team is well positioned for strategic contributions in the short-term (on well-known Apple ...

Apple Inc.

Machine Learning Engineer, SIML

Seattle, WA · On-site

$139.50 - $258.10/hr

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build ...

Sandbar

Machine Learning Engineer

Manhattan, NY · On-site

$120 - $190/hr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... as a machine learning engineer. Must also possess: 2 years building & deploying ML-based ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

Flexjet

Machine Learning Engineer

Cleveland, OH · On-site

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build ...

Sandbar

Machine Learning Engineer

New York, NY · On-site

$160K - $250K/yr

Our team has built SW, ML, and HW products across Meta, CTRL-labs, Google, Apple, Fitbit, Peloton ... Requires a bachelor's degree in computer science, engineering, data science or machine learning ...

Apple

Machine Learning Engineer, SIML

Cupertino, CA

$216K - $324K/yr

We are part of the Intelligent System Experiences team at Apple and work on the core modeling ... Description We are seeking a machine learning research engineer with experience building modern ...

Flexjet

Machine Learning Engineer

Cleveland, OH

POSITION SUMMARY Flexjet is seeking a motivated Entry-Level Machine Learning Engineer to join our team. In this role, you will work alongside experienced engineers and data scientists to build ...

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Entry Level Apple Machine Learning Engineer information

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How much do entry level apple machine learning engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level apple machine learning engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

What does an entry level Apple machine learning engineer do?

An Entry Level Apple Machine Learning Engineer helps design, develop, and implement machine learning models and algorithms for Apple products and services. They work closely with senior engineers and data scientists to collect and analyze data, build prototypes, and improve the performance of machine learning systems. Responsibilities often include coding, model evaluation, and collaborating with cross-functional teams to integrate ML solutions into Apple’s ecosystem. This role is ideal for those with a strong foundation in programming, statistics, and a passion for innovative technology.

What are the key skills and qualifications needed to thrive as an entry level Apple machine learning engineer?

To thrive as an Entry Level Apple Machine Learning Engineer, you generally need a solid background in computer science, mathematics, and statistics, often supported by a relevant degree and coursework in machine learning. Familiarity with programming languages such as Python or Swift, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of Apple's development tools like Core ML are typically required. Strong problem-solving abilities, teamwork, and effective communication skills help you collaborate and contribute innovative solutions in a dynamic tech environment. These competencies are crucial for developing and optimizing machine learning models that power Apple's products and services.

What are some common challenges faced by entry level Apple machine learning engineers, and how can they overcome them?

Entry-level Machine Learning Engineers at Apple often encounter challenges such as adapting to the company's fast-paced innovation cycle, understanding large and complex codebases, and collaborating with cross-functional teams. To overcome these hurdles, it's important to proactively seek mentorship, participate in code reviews, and familiarize oneself with Apple's internal tools and documentation. Regular communication with peers and senior engineers can also help accelerate the learning curve and foster a collaborative environment that encourages innovation and knowledge sharing.

What is the difference between Entry Level Apple Machine Learning Engineer vs Entry Level Data Scientist?

AspectEntry Level Apple Machine Learning EngineerEntry Level Data Scientist
Required CredentialsBachelor's in CS, ML, or related; knowledge of ML frameworksBachelor's in CS, Statistics, or related; strong analytical skills
Work EnvironmentTech company, R&D, product developmentData analysis, research, business insights
Employer & Industry UsageApple, consumer electronics, softwareVarious industries including tech, finance, healthcare
Common Search & ComparisonYesYes

Entry Level Apple Machine Learning Engineers focus on developing ML models for Apple products, requiring knowledge of ML frameworks and programming. Entry Level Data Scientists analyze data to derive insights, often with statistical expertise. While both roles involve data and programming, ML Engineers emphasize model deployment, whereas Data Scientists focus on data analysis and reporting.

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Entry Level Apple Machine Learning Engineer jobs near you
Infographic showing various Entry Level Apple Machine Learning Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $69,362 per year, or $33.3 per hour.

AIML - Machine Learning Engineer, MIND

Apple

Seattle, WA

$142K - $263K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 days ago

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

As a Machine Learning Engineer in the Machine Intelligence Neural Design (MIND) team, you will have an opportunity to be part of an ML innovation organization within Apple that has its roots in the computer vision research community. The team is well positioned for strategic contributions in the short-term (on well-known Apple products) and in the long-term (on highly ambitious, high-risk, high-reward projects). This role has a strong focus on shipping ML-based features and products. You'll innovate in the entire end-to-end ML production pipeline. This includes but is not limited to; crafting creative approaches to datasets, model training, and on-device inference optimizations. Our ideal team member is fearless when it comes to trying new things and is willing to iterate on ideas. We value team members who can quickly prototype, iterating all the way to high-quality implementations.
Description
As a member of this team, you will use your background to: - Develop features and models to improve the capabilities of systems that use machine learning - Scale up model training, build data pipelines, and tuning to improve system performance - Review and implement pioneering machine learning algorithms - Build software that improves rate of experimentation
Preferred Qualifications
Experience with modeling vision problems in the areas of object detection, facial recognition, and/or temporal machine learning.
Experience with building efficient ML models through HW/SW co-design.
Experience crafting and defining datasets and metrics for novel tasks.
Experience with shipping ML features and products.
Excellent problem-solving and analytical skills with a thorough approach.
Most importantly: a strong curiosity, willingness to dive deep into unfamiliar problems, and an eagerness to learn and grow in a fast-evolving field.
Minimum Qualifications
Proficient in Python and deep learning frameworks like PyTorch.
Experience with training ML models including deep learning based models.
Able to define metrics, evaluate ML models, and perform error analysis.
Familiar with recent advances in deep learning.
Bachelor's, Master's, or PhD or equivalent experience in Computer Science or a related field.
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 $142,300 and $263,300, 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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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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