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Entry Level Apple Machine Learning Engineer Jobs

Darwill, Inc.

Machine Learning Engineer

Villa Park, IL · On-site

MACHINE LEARNING ENGINEER (MLOPS / DATA ENGINEERING) Overview Darwill is a nationally recognized ... This is not an entry-level position, and it is not a principal or architect-level role.. Location ...

Apple

Machine Learning Video Engineer

Cupertino, CA · On-site

The Video Engineering group at Apple is responsible for creating the image/video core technologies used in almost all Apple products and services...As a machine learning engineer, you'll be ...

Apple

On-Device Machine Learning Engineer

Sunnyvale, CA · On-site

$181.10K - $318.40K/yr

We are looking for a highly motivated and skilled Machine Learning Integration Engineer to join our ... We balance research and product requirements to deliver Apple quality, pioneering experiences ...

Apple

Sr. Machine Learning Engineer

Santa Clara, CA · On-site

$143.90K - $189.70K/yr

... in machine learning and software engineering to understand user queries and intents, retrieve and ... Our team works on a search platform that powers features that incorporate search into Apple ...

Apple

Computer Vision and Machine Learning Engineer

Sunnyvale, CA · On-site

$130.90K - $154.30K/yr

... Apple products. We have contributed to the algorithms driving FaceID and FaceKit in the past and ... We are looking for the right 3D Computer Vision and Machine Learning Engineer to help us take our ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... This role is ideal for students or entry level candidates in STEM fields who are passionate about ...

Aivra Health LLC

$28 - $45/hr

Machine Learning Engineer Intern United States Internship | Full-Time (40 hours/week) Pay Range ... This role is ideal for students or entry level candidates in STEM fields who are passionate about ...

Forhyre

Machine Learning Engineer

New York, NY

We are looking for a Machine Learning Engineer to help us create artificial intelligence products. Machine Learning Engineer responsibilities include creating machine learning models and retraining ...

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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 May 29, 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 are the key skills and qualifications needed to thrive as an Entry Level Apple Machine Learning Engineer, and why are they important?

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 Machine Learning Engineers at Apple, 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 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 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
AI/ML - Machine Learning Research Engineer, Machine Translation

AI/ML - Machine Learning Research Engineer, Machine Translation

Apple

San Francisco, CA • On-site

Full-time

Posted 13 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

The Apple Machine Translation team is seeking exceptional researchers and scientists to contribute to the development of the next generation of core machine translation (MT) technology and large language model (LLM) technologies. Our mission is to empower our users to communicate seamlessly across language barriers and execute multilingual tasks with ease. If you are passionate about natural language processing, language modeling (LLMs), and machine translation, we invite you to join our team and collaborate on creating the most advanced multilingual solution across the Apple ecosystem.
Multilingual tasks, particularly Machine Translation, have advanced significantly due to the development of multilingual Large Language Models. The Apple MT organization is dedicated to researching state-of-the-art approaches to Machine Translation and Multilingual Large Language Models, as well as applications of this technology. These applications include the Translate app, Safari web page translation, and system-wide translation.We are seeking research scientists and engineers with a passion for applied research in the field of Multilingual Large Language Models and Machine Translation. Your role will involve investigating novel modeling and learning approaches and evaluation methods. As a member of the core modeling team, you will have the opportunity to collaborate with a diverse range of language technologies and contribute to the advancement of LLM and MT technology to address real-world challenges.An ideal candidate should possess exceptional oral and written communication skills and demonstrate a collaborative approach. A track record of impactful contributions to the field of LLM, MT, or related disciplines is highly preferred for senior researchers.
3+ year experience in machine learning and NLP including model training, inference, Large Language Models and neural machine translation, language modeling, sequence-to-sequence models, etc.Experience developing AI/ML systems at scale in production or in high-impact research environments.Knowledge with common deep learning toolkits including JAX, PyTorch or Tensorflow.Passionate about machine translation, large language model and natural language processing.
Proficiency in key language technologies, including machine translation, large language models, and natural language processing.The ability to formulate research problems, design, experiment, and implement solutions in programming languages such as C/C++, Java, Python, and Bash scripting.The design and deployment of real-world, large-scale, user-facing machine translation or large language model systems.Strong spoken and written communication skills.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

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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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