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Apple Machine Learning Engineer Jobs in Georgia (NOW HIRING)

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

Instacart

As a Machine Learning Engineer, you will have the opportunity to collaborate closely with senior engineers and product leaders as part of your team. Together, you'll develop and enhance Instacart ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

FanDuel

Senior Machine Learning Engineer

Atlanta, GA · On-site

$100K - $138K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

As a Machine Learning Engineer at FanDuel, you will help us unlock the full potential of our vast amounts of real-time and relational data. You will be asked to provide our business with insight and ...

Career Renew

Senior Machine Learning Engineer

Atlanta, GA · Remote

$165K - $225K/yr

Career Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus ...

Workday

Sr Machine Learning Engineer

Atlanta, GA · On-site

$159K - $276K/yr

... Machine Learning driven features with Python (including NumPy, SciPy, Pandas, TensorFlow, Pytorch) Other Qualifications: * Strong programming skills in Python with proficiency in relevant libraries ...

AppFolio

GA · On-site

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

AppFolio

Sr. Machine Learning Engineer

Atlanta, GA

$100K - $138K/yr

Who We Are Looking For We're hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio ...

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Showing results 41-60

All JobsApple Machine Learning Engineer JobsApple Machine Learning Engineer Jobs in Georgia

Apple Machine Learning Engineer information

See Georgia salary details

$26.6K

$108.7K

$163.4K

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

As of Aug 18, 2026, the average yearly pay for apple machine learning engineer in Georgia is $108,730.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,700.00 and $130,900.00 per year, depending on experience, location, and employer.

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 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.

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 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.

Is a machine learning engineer 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 familiarity with tools like TensorFlow or PyTorch. Salaries vary based on experience, location, and industry, but they are generally above average compared to many other tech roles.

What are popular job titles related to Apple Machine Learning Engineer jobs in Georgia?

For Apple Machine Learning Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Apple Machine Learning Engineer jobs in Georgia look for?

The top searched job categories for Apple Machine Learning Engineer jobs in Georgia are:

What cities in Georgia are hiring for Apple Machine Learning Engineer jobs?

Cities in Georgia with the most Apple Machine Learning Engineer job openings:

Apple Machine Learning Engineer jobs near you
Infographic showing various Apple Machine Learning Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 69% Full Time, 21% Part Time, 6% Contract, and 3% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $108,730 per year, or $52.3 per hour.

Industrial Automation & Machine Learning Engineer

Shaw Industries Group, Inc.

Cartersville, GA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 4 days ago

Job description

Job Title
Industrial Automation & Machine Learning Engineer
Position Overview
Shaw Industries is seeking an Industrial Automation and Machine Learning Engineer to develop and scale software and data solutions that connect our production floor to actionable insights across our Commercial manufacturing division. This role focuses on industrial automation, manufacturing data, and OT system integration, supporting multiple plants and enabling operational excellence at scale.
The ideal candidate has a strong background in manufacturing automation and industrial systems-including PLCs, SCADA, and industrial networking-along with experience building manufacturing applications using platforms such as Ignition and Machine Learning. This is not an IT or consumer software role; it is a hands-on manufacturing systems position centered on machinery, process data, and production environments.
This role will work closely with automation engineers and plant teams to deliver standardized tools, alerts, dashboards, and integrations that improve quality, reliability, and efficiency across Shaw's manufacturing operations.
Position Responsibilities
  • Ensure seamless integration of software with existing OT/IT infrastructure.
  • Develop software that adheres to established best practices and standards, including thorough documentation and meaningful code comments.
  • Contribute to the development and refinement of best practices and standards for software and automation systems - a strong plus.
  • Collaborate with cross-functional teams to understand equipment and automation systems.
  • Train manufacturing and technical teams on the use of developed systems and tools, and support knowledge-sharing around emerging process control technologies.
  • Support hardware automation initiatives as needed.
  • Manage and budget capital projects related to automation and data systems.
  • Collaborate with plant leadership to identify opportunities.

Key Competencies
  • Influence Others
  • Innovate
  • Adapt And Change
  • Demonstrate Inclusive Leadership
  • Deliver Compelling Communication

Position Requirements
  • Bachelor's degree in software engineering or related field. Other engineering degrees may be considered with relevant experience.
  • Proficient in one or more programming languages commonly used in automation and data systems, i.e Machine Learning
  • Proficient in designing, querying, and maintaining databases.
  • Experience with enterprise-level data platforms and visualization tools.
  • Working knowledge of industrial equipment and data acquisition systems.
  • Strong problem-solving and analytical skills.
  • Excellent communication and project management abilities.
  • On-call, weekend, and holiday support as needed.
  • Some travel is required across the division.

Preferred Skills
  • 3-5 years of experience in manufacturing automation.
  • Knowledge of control systems, PLCs, and industrial networking.
  • Experience with Ignition by Inductive Automation.
  • Experience with APIs (e.g., web service calls, MQTT).
  • Experience with Rockwell Software (e.g., RSLogix 500, Studio 5000).
  • Experience with Siemens Software (e.g., TIA Portal).
  • Exposure to AI technologies in manufacturing, such as platforms like Databricks or similar, used to analyze process data, build predictive models, detect anomalies, or optimize performance.

Shaw benefits include:
  • Medical, dental, vision insurance and Pet insurance
  • Life insurance and disability coverage
  • Tuition reimbursement
  • Employee assistance program
  • Health savings account
  • Paid Time Off
  • Parental Leave
  • 401K and Retirement Plans
  • Product discounts for employees
  • Gym membership discounts
  • Adoption assistance
  • Shaw Family Health Center (Dalton, GA, and Cartersville, GA, locations)
  • And much more.

Shaw Industries Group, Inc. is a wholly owned subsidiary of Berkshire Hathaway, and is a global leader in delivering carpet, hardwood, tile & stone, laminate, synthetic turf, and other specialty products to residential and commercial markets worldwide. We are committed to creating a better future for our customers, our people, our company, and our communities.
#LI-CL1
#ShawIND
Work Shift
8 Hr non-rotating shift, Hrs fall to in punch day, Observed Calendar, shift starts AM
Shaw Industries is an equal opportunity employer as to all protected groups, including protected veterans and individuals with disabilities.

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