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Apple Machine Learning Engineer Jobs in Atlanta, GA

W2 Candidates Only 🚨 We are seeking a Machine Learning Engineer to develop, deploy, and optimize machine learning models and AI solutions. The ideal candidate will have strong experience with ...

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Machine Learning Engineer

Atlanta, GA · On-site

$130 - $185/hr

Openings › Software › Machine Learning Engineer Software Machine Learning Engineer Atlanta, US Remote Full-time $130,000 - $185,000 About Winixx Winixx Inc. is a New York-based technology holding ...

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex systems of systems for training and running machine learning models with industry best practice

Equifax is excited to add a Machine Learning Engineer to our team. What you'll do * Design complex systems of systems for training and running machine learning models with industry best practice

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $160/hr

Job Summary We are seeking a highly skilled and motivated Machine Learning Engineer to join our dynamic team at Speria MTech. The ideal candidate will play a crucial role in designing, building, and ...

Machine Learning Engineer

Atlanta, GA · On-site

$120 - $165/hr

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are seeking a skilled and forward‑looking ML Engineer with experience in Large Language Models (LLMs ...

Machine Learning Engineer Employment Type: Full Time Location: Atlanta, GA Description We are seeking a skilled and forward-looking ML Engineer with experience in Large Language Models (LLMs ...

CNN is a global leader in news and information, seeking a Machine Learning Engineer I to build and deploy ML systems that enhance personalization, search, recommendations, and content understanding ...

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Machine Learning Engineer 3 Date Posted: 7/31/26 Location: Atlanta, GA 30308 Job Type: Contract Full-Time Immediate W2 contract position available in Atlanta, GA. Estimated Duration: 4.5 months ...

Staff Machine Learning Engineer

Atlanta, GA · On-site +1

$162K - $342K/yr

As a Staff Machine Learning Engineer , you will design, build, and deploy machine learning systems that power predictive analytics, personalization, automation, and intelligent platform behaviors.You ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Machine Learning Engineer I

Atlanta, GA · On-site

$99.40 - $184.60/hr

CNN is seeking a Machine Learning Engineer I to build and deploy ML systems that power personalization, search, recommendations, and content understanding for millions of users across CNN's digital ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

As an AI Engineering team member, you will be instrumental in advancing new features and/or solutions from the Proof of Concept stage to full production readiness. Your role involves refining and ...

New

... the machine learning function at a market-leading insurance company. As one of the first data ... Leverage continuous engineering practices to deliver business value regarding effectiveness of the ...

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do Warner Bros. Discovery (WBD) is home to the world's most iconic entertainment, news, and sports ...

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Showing results 1-20

Apple Machine Learning Engineer information

See Atlanta, GA salary details

$30.3K

$123.8K

$186.1K

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

As of Aug 16, 2026, the average yearly pay for apple machine learning engineer in Atlanta, GA is $123,832.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $149,100.00 per year, depending on experience, location, and employer.

Is machine learning a high paying job?

Machine learning engineers typically earn high salaries due to the specialized skills required, such as proficiency in programming, data analysis, and model development. Salaries vary based on experience, location, and industry, but overall, it is considered a well-compensated field within technology roles.

What collaboration opportunities can an Apple machine learning engineer expect when working on cross-functional projects?

As an Apple Machine Learning Engineer, you will frequently collaborate with cross-functional teams including software engineers, product managers, and user experience designers. This collaboration is essential for integrating machine learning solutions seamlessly into Apple’s products and services. You can expect to participate in regular meetings to align on project goals, share technical insights, and troubleshoot challenges together. Such teamwork not only enhances product quality but also offers valuable opportunities for professional growth and skill development within Apple’s innovative environment.

What does an Apple machine learning engineer do?

An Apple Machine Learning Engineer designs, develops, and implements machine learning models and algorithms that power Apple's products and services. They work with large datasets, collaborate with software and hardware teams, and contribute to features such as Siri, image recognition, and personalized recommendations. Their role involves researching new techniques, optimizing models for performance and efficiency, and ensuring privacy and security standards are maintained.

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

AspectApple Machine Learning EngineerApple Data Scientist
Required CredentialsBachelor's or Master's in CS, ML, or related fields; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related fields; strong analytical skills
Work EnvironmentDeveloping ML models, algorithms, deploying on Apple devicesAnalyzing data, building insights, supporting product decisions
Employer & Industry UsageTech industry, Apple-specific projects, hardware/software integrationTech industry, product analytics, user behavior insights

Apple Machine Learning Engineers focus on developing and deploying ML models within Apple's ecosystem, while Apple Data Scientists analyze data to inform product decisions. Both roles require strong technical skills, but ML Engineers are more involved in model creation and deployment, whereas Data Scientists focus on data analysis and insights.

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 statistics, typically with experience in machine learning algorithms and a relevant degree. Expertise in programming languages such as Python or Swift, familiarity with frameworks like TensorFlow or PyTorch, and knowledge of Apple's Core ML are commonly required. Strong problem-solving abilities, creativity, and effective communication help you collaborate across teams and translate complex ideas. These skills ensure innovative, scalable, and user-centric machine learning solutions that align with Apple's high standards.

How do I get into Apple as an Apple Machine Learning Engineer?

To become an Apple Machine Learning Engineer, candidates typically need a strong background in computer science, machine learning, or related fields, with proficiency in programming languages like Python and experience with frameworks such as TensorFlow or PyTorch. Relevant skills include data analysis, model development, and familiarity with Apple's ecosystem, often supported by a bachelor's or master's degree and a strong portfolio of projects or research. Applying through Apple's careers website and demonstrating technical expertise during interviews are essential steps.

What are the most commonly searched types of Apple Machine Learning Engineer jobs in Atlanta, GA?

The most popular types of Apple Machine Learning Engineer jobs in Atlanta, GA are:

Infographic showing various Apple Machine Learning Engineer job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 2% Hybrid, and 13% Remote job distribution, with an average salary of $123,832 per year, or $59.5 per hour.

Machine Learning Engineer

Infinite Resource Solutions

Atlanta, GA • On-site

Full-time

Re-posted 6 days ago


Job description

Job Description Machine Learning Engineer Roles and Responsibilities Lead the end-to-end architecture and development of machine learning solutions. Implement machine learning algorithms into services and pipelines to be consumed at large-scale. Engineer large scale development systems using full-stack, distributed shallow and deep-learning technologies and big data technologies.

Architect and develop a highly scalable, distributed, multi-tenant set of microservices backend solutions. Be a part of a highly productive and creative engineering team What Are We Looking For in This Role. Highly Preferred: MS or PhD in Machine learning, Computer Vision, Natural Language Processing or a related field.

5+ years of experience architecting and developing AI and machine learning applications Ability to think critically, question assumptions and devise solutions to challenging technical problems. Hands-on experience with one or more of the following technologies: --Machine Learning: TensorFlow, PyTorch, Spark ML/MLib etc. --ML Technologies: NLP, Computer Vision and related technologies.

--Back end web-services: Java, Spring Boot, Python, Kubernetes, Docker - Big Data technologies: Kafka, Apache Spark, MapR, Hbase, Hive, HDFS etc. Minimum Qualifications Bachelor's Degree Relevant Experience or Degree in: Computer Science, Management Information Systems, Business or related field Typically Minimum 6 Years Relevant Exp Four-year college degree and 6 or more years, and/or a high school diploma with 8 or more years professional experience with full life cycle design and development