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Entry Level Apple Machine Learning Engineer Jobs in Centertown, MO

Job Summary The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work ...

As a Machine Learning Integration Engineer, you will help rapidly prototype, mature, and monitor ML/CV solution that are integral to Turion's Space Domain Awareness data products. You will work on ...

Mentor and support other engineers through design reviews, feedback, and knowledge sharing * Build ... Machine Learning * Natural Language Processing * LLM-Based Systems * Software Architecture * Model ...

Deep knowledge of supervised learning, unsupervised learning, feature engineering, model selection ... Familiar with machine learning curricula and common challenges such as understanding bias-variance ...

Machinist Intern

Columbia, MO · On-site

$16 - $18/hr

All of our products are engineered using a scientific approach which is reflected in the high ... Our Machinist Intern will gain hands on experience with our production process which will in turn ...

Machinist Intern

Columbia, MO · On-site

$16 - $18/hr

All of our products are engineered using a scientific approach which is reflected in the high ... Our Machinist Intern will gain hands on experience with our production process which will in turn ...

The ideal candidate demonstrates strong programming ability (often in Python and/or C++), experience applying machine learning or advanced algorithms to robotics challenges, and hands‑on exposure ...

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Entry Level Apple Machine Learning Engineer information

See Centertown, MO salary details

$27.5K

$63.7K

$108.3K

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 Centertown, MO is $63,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,300.00 and $72,100.00 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.

What cities near Centertown, MO are hiring for Entry Level Apple Machine Learning Engineer jobs?

Cities near Centertown, MO with the most Entry Level Apple Machine Learning Engineer job openings:

Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Centertown, MO as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $63,674 per year, or $30.6 per hour.

Principal Machine Learning Engineer

iHerb

California, MO • On-site

$205 - $230/hr

Other

Posted 17 days ago


iHerb rating

7.5

Company rating: 7.5 out of 10

Based on 13 frontline employees who took The Breakroom Quiz


Job description

Overview

For A Better You At iHerb, we believe that living a healthy and balanced life should be easy and accessible to everyone. As a team member, we’ll empower you to live this promise each day as you make a truly global impact in your career. We strive for innovation while transforming and improving the online shopping experience for our customers. We believe that individually we are incredible, but together our growth is infinite. We are on a mission to make an impact on the global market, and the efforts of our people are paramount to helping us succeed. Whether you work in one of our logistics centers, technology hubs, corporate offices or from home, your role at iHerb will take you beyond what’s expected, turning challenge into change.

Job Summary

The Machine Learning Engineer will tackle challenging problems and create scalable machine learning systems and platforms that make an impact on millions of users. This role will work closely with business partners to provide machine intelligence driven solutions and products to simplify and enhance the customer experience and to automate core business processes. The Machine Learning Engineer will partner closely with Data Scientists, Applied Scientists, and Software Developers to ensure predictive models make business impact.

Responsibilities
  • Partner with the Data Platform team in a two-way exchange of best practices.
  • Adopt common patterns and build effective abstractions across different machine learning pipelines that simplify existing processes and accelerate modeling from problem inception to production deployment.
  • Develop horizontal solutions to robustly scale the team’s machine learning models and processes.
  • Build software with object-oriented design patterns and analysis (OOA and OOD) with an eye toward reducing technical debt and maintaining services at high availability.
  • Participate in requirements reviews, design reviews, and code reviews.
  • Research and prototype new technologies to support rapid business growth.
  • Interact cross-functionally with technical teams and work with data and applied scientists to identify opportunities to improve iHerb’s platform.
  • Note: This description may not cover all aspects of the role; other duties may be added as necessary.
Knowledge, Skills and Abilities
  • Required: Strong coding experience (e.g., Java, C#, Python).
  • Experience gathering data from multiple sources using big data technologies (Spark, Hadoop, BigQuery, Athena, etc.).
  • Experience building machine learning infrastructure following robust software engineering practices.
  • Knowledge of modern software development tools, systems, and practices (design patterns, CI/CD, Git, unit testing, smoke testing, integration testing, job schedulers, cloud technologies like AWS Lambda and Google Functions, etc.).
  • Exposure to all aspects of the software development life-cycle.
  • Experience with messaging technologies (Kafka, Google Pub/Sub, Kinesis, RabbitMQ, etc.).
  • Experience with Docker and Kubernetes.
  • High degree of accuracy and attention to detail; excellent organization and multitasking abilities.
Equipment Knowledge
  • Experience with Microsoft Office Suite (Word, Excel, PowerPoint).
  • Experience with Google Workspace (Gmail, Drive, Docs, Sheets, Forms) preferred.
Experience Requirements

Generally requires a minimum of two (2) years relevant experience in applied machine learning or machine learning systems/infrastructure, and one (1) year of relevant work experience in machine learning engineering or related fields (e.g., as a Machine Learning Engineer, ML Ops engineer, or related position).

Education Requirements

Bachelor’s Degree in Computer Science, Electrical Engineering, or related field required; Master’s Degree preferred.

Judgment / Reasoning

Able to identify, troubleshoot and resolve problems quickly using sound judgment and diplomacy. Ability to use judgment and reason to escalate issues as required, in a timely manner.

Physical Demands

The physical demands described are representative of those required to perform the essential functions. The team member is regularly required to talk and hear, and to sit, walk, climb stairs, use hands and fingers, bend, stoop and reach. Reaching above shoulder heights or below the waist may be required. May occasionally lift or move up to 25 pounds. Proper lifting techniques required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Work Environment

The work environment is typically moderate in noise. The environment can be hectic and fast-paced with multi-level distractions. Professional, yet casual work environment in an Office / Warehouse setting. Ability to work extended hours as required.

Compensation

The expected salary range for this role is $205,000.00 - $230,000.00 USD. The actual base pay offered will be determined by factors such as the candidate’s relevant experience, education, geographic location, and internal equity.

EEO

iHerb is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status. iHerb provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment.

Notes

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status.

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