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Entry Level Apple Machine Learning Engineer Jobs in Payson, IL

Our company is a place that prioritizes being a force for good, a place to expand learning, explore ... PLC's, HMI's, process instrumentation, machine control systems, VFD's, servo drives, robotics ...

Entry Level Apple Machine Learning Engineer information

See Payson, IL salary details

$29.5K

$68.2K

$116.1K

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

As of Aug 1, 2026, the average yearly pay for entry level apple machine learning engineer in Payson, IL is $68,248.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,700.00 and $77,200.00 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 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.

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 cities near Payson, IL are hiring for Entry Level Apple Machine Learning Engineer jobs? Cities near Payson, IL with the most Entry Level Apple Machine Learning Engineer job openings:
Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Payson, IL as of June 2026, with employment types broken down into 7% As Needed, 11% Full Time, 74% Part Time, 4% Temporary, and 4% Contract. Highlights an 56% Physical, and 44% Remote job distribution, with an average salary of $68,248 per year, or $32.8 per hour.

Manufacturing Systems Engineer - Hannibal, MO

General Mills

Hannibal, MO • On-site

Full-time

Medical, Retirement

Posted 13 days ago


General Mills rating

8.2

Company rating: 8.2 out of 10

Based on 110 frontline employees who took The Breakroom Quiz

68th of 434 rated food and drinks producers


Job description

POSITION OVERVIEW

The Manufacturing Systems Engineer role provides technical leadership and serves as a system and product specialist. They are responsible for building the team’s packaging and processing technical skills through a hands-on approach. They are accountable for the operational foundation systems across the platform to secure basic conditions and drive out losses. The Systems Engineer plays a critical role in continuously improving by optimizing system performance and product quality while driving strategic productivity and capacity solutions for the platform and ultimately the business.

The primary focus will be on daily troubleshooting, problem solving, and on-the-floor activities to build confidence, capability, and credibility with the theory of operations, 4M relationships, and our product portfolios. It involves significant floor time to understand manufacturing processes, coupled with development within the Systems Engineering team. As progress is made to grow equipment and technical knowledge, overall capability will improve to identify and execute solutions for performance improvements and loss elimination.

To learn more about our Hannibal plant and the surrounding area, click here!

KEY ACCOUNTABILITIES

Safety

  • Lead Food and Human Safety through Safety 2.0 leadership principles and standards.
  • Foster a culture that reduces risk to our people and communities by increasing capability to identify and control critical risk. Specifically, responsible as the Control of Hazardous Energy (CoHE) Platform Owner for ensuring safe system designs, managing procedure changes, partnering with site owner for reviews, and coaching best practices, while reinforcing accountability for execution and adherence at the operational level.  
  • Cultivate Food Safety Culture is committed to manufacturing safe food that is compliant with policy and regulatory requirements.

Capability Building

  • Troubleshoot, problem solve and facilitate on-the-floor activities to build team member confidence, and capability of theory of operation and Operational Foundational Systems (CIL, CL, DH).
  • Communicate and engage effectively with teams on the manufacturing floor.

Process Leadership and Ownership Driving System Utilization (DSU):

  • Responsible for building necessary skills around the development of Loss Tree and glidepaths for the line / system.
  • Execute loss elimination tasks to improve system and equipment reliability through use of continuous improvement processes and problem solving.
  • Execute HMM initiatives. Daily Direction Setting (DDS) and Operations Foundational Systems:
  • Accountable for the operations foundational systems across the platform to secure basic conditions and drive out losses (Clean-Inspect-Lubricate CIL, Centerlines CL, and Theory of Operation TOO).
  • Vertical Start-Up (VSU): Provide Start-up support to the platform team to drive execution and improvements.

Know your Operation, Data and Technology:

  • Gain exposure through a physical presence on the manufacturing floor to the 4M's (machine, materials, methods, human) to grow skills and understanding of interdependency of inputs.
  • Gain exposure to data and information systems to identify and drive decision making (performance metrics, financial information, data historian, maintenance management system).
  • Learn material balances and unit operation capability on your system(s) to ensure optimal production rates, parameters, and formulas.
  • Develop through connections and learning from operators, technicians, maintenance, and peers through rigorous application and understanding of foundational systems.

Back-Up Support

  • This position will provide backup support as needed, ensuring business continuity and operational efficiency. • technical partners on platform team (SE, QE, Maintenance)

MINIMUM QUALIFICATIONS

  • Bachelor of Science degree in Engineering, or related degree with applicable experience, or extensive relevant work experience 
  • 1 year + of related manufacturing product or process engineering experience
  • Theory/functionality of manufacturing systems and unit operations
  • Statistical analysis and analytical methods to drive manufacturing performance metric analysis
  • Mechanical aptitude with strong general engineering principles knowledge
  • Demonstrated leadership and working in a highly collaborative environment
  • Success in driving results through process and teamwork with proven success in reducing losses and improving performance in a manufacturing setting
  • Demonstrated technical capability and knowledge of unit operations and manufacturing machinery
  • Skilled at communicating between work groups, cross-functional resources, and other members of the plant and corporate teams
  • Working knowledge of manufacturing data analysis systems (examples: SAP, Maximo, Manufacturing Analytics, MQIS) and proven success with decision-making for results

PREFERRED QUALIFICATIONS

  • Bachelor's degree in Chemical Engineer, Mechanical Engineer, Food Engineering or other engineering degrees preferred
  • 2+ years of direct food manufacturing experience
  • Data and manufacturing performance metrics analysis

ADDITIONAL CONSIDERATIONS

  • International relocation or international remote working arrangements (outside of the US) will not be considered.
  • Applicants for this position must be currently authorized to work in the United States on a full-time basis. General Mills will not sponsor applicants for this position for work visas.

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one other and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.


Salary Range
The salary range for this position is $71300.00 - $107000.00 / Annually. At General Mills we strive for each employee's pay at any point in their career to reflect their experiences performance and skills for their current role. The salary range for this role represents the numerous factors considered in the hiring decisions including, but not limited to, educations, skills, work experience, certifications, etc. As such, pay for the successful candidate(s) could fall anywhere within the stated range. Beyond base salary, General Mills offers a competitive Total Rewards package focusing on your overall well-being. We are proud to offer a foundation of health benefits, retirement and financial wellbeing, time off programs, wellbeing support and perks. Benefits may vary by role, country, region, union status, and other employment status factors. You may also be eligible to participate in an annual incentive program. An incentive award, if any, depends on various factors, including, individual and organizational performance.

Reasonable Accommodation Request
If you need to request an accommodation during the application or hiring process, please fill out our online accommodations request form by following this link: Accommodations Request. Qualifications:UNAVAILABLEEducation:UNAVAILABLEEmployment Type: FULL_TIME


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About General Mills

Sourced by ZipRecruiter

General Mills, Inc. manufactures some of the most beloved foods in the world, including Cheerios and Lucky Charms, Nature Valley granola bars, Totino's pizza rolls, and Yoplait yogurt. Blue Buffalo became part of General Mills in 2018, so even your pets love us too.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

Year founded

1928