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Entry Level Apple Machine Learning Engineer Jobs in Brighton, TN

Varsity Tutors

Mechanical Engineering Tutor

Memphis, TN · Remote

$18 - $40/hr

About the Job The Varsity Tutors Live Learning Platform has thousands of students looking for ... transfer, machine design, manufacturing processes, and control systems. Ability to explain free ...

Ellison Technologies

CNC Field Service Engineer

Memphis, TN · On-site

$30 - $55/hr

... Learning Are you "energized" by working on sophisticated CNC machinery. Is being a problem solver ... If so I hope to connect regarding our CNC Field Service Engineer position. In this role, you will ...

Varsity Tutors

Statics Tutor

Memphis, TN · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Varsity Tutors

Statics and Dynamics Tutor

Memphis, TN · Remote

$18 - $40/hr

... machine dynamics, and advanced engineering coursework. * Conceptual Teaching & Problem-Solving ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

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Showing results 21-40

All JobsApple Machine Learning Engineer JobsEntry Level Apple Machine Learning Engineer JobsEntry Level Apple Machine Learning Engineer Jobs in Brighton, TN

Entry Level Apple Machine Learning Engineer information

See Brighton, TN salary details

$27.5K

$63.5K

$108.1K

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

As of Aug 10, 2026, the average yearly pay for entry level apple machine learning engineer in Brighton, TN is $63,548.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $71,900.00 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?

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 cities near Brighton, TN are hiring for Entry Level Apple Machine Learning Engineer jobs? Cities near Brighton, TN with the most Entry Level Apple Machine Learning Engineer job openings:
Entry Level Apple Machine Learning Engineer jobs near you
Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Brighton, TN as of June 2026, with employment types broken down into 4% As Needed, 49% Full Time, 43% Part Time, 2% Temporary, and 2% Contract. Highlights an 56% Physical, and 44% Remote job distribution, with an average salary of $63,548 per year, or $30.6 per hour.

Mechanical Engineering Tutor

Varsity Tutors

Memphis, TN • Remote

$18 - $40/hr

Part-time

Re-posted 7 days ago

Varsity Tutors rating

5.7

Company rating: 5.7 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

14th of 23 rated private schools and tutoring

Job description

About the Job
The Varsity Tutors Live Learning Platform has thousands of students looking for online Mechanical Engineering tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the flexibility to set your own schedule, earn competitive rates, and make a real impact on students' academic success and understanding. All from the comfort of your home.
Why Join Our Platform?
  • Earn incrementally higher pay for each session with the same student, reaching up to $40/hour.
  • Get paid up to twice per week, ensuring fast and reliable compensation for the tutoring sessions you conduct and invoice.
  • Set your own hours and tutor as much as you'd like.
  • Tutor remotely using our purpose-built Live Learning Platform. No commuting required.
  • Get matched with students best-suited to your teaching style and expertise.
  • Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson generation, and engagement features, helping you save prep time and focus on impactful teaching.
  • We handle the logistics—you just invoice for your tutoring sessions, and we take care of payments.

What We Look For In a Mechanical Engineering Tutor
  • Advanced Subject Mastery: Deep knowledge of statics, dynamics, mechanics of materials, thermodynamics, fluid mechanics, heat transfer, machine design, manufacturing processes, and control systems. Ability to explain free body diagrams, stress-strain relationships, Bernoulli equation, and heat conduction principles while preparing students for mechanical engineering coursework, the FE examination, and professional practice.
  • Conceptual Teaching & Problem-Solving: Skilled at breaking down free body diagram construction, stress analysis, and thermal system design. Guides students through solving static equilibrium problems, analyzing beam deflection, designing heat exchangers, computing fluid flow parameters, and selecting machine components. Emphasizes systematic engineering problem-solving approaches and connects mechanical engineering to automotive, aerospace, energy systems, and manufacturing applications.
  • Curriculum Awareness & Adaptive Instruction: Familiar with mechanical engineering curricula and common challenges such as three-dimensional equilibrium problems, Mohr circle analysis, and thermodynamic cycle analysis. Adapts instruction using engineering handbooks, computational tools, and design project guidance to support undergraduate mechanical engineering students from introductory mechanics through advanced thermal-fluid systems and machine design courses.
  • Effective Teaching Methods: Ability to identify concepts students commonly struggle with, explain material using multiple approaches, and adapt instruction to meet individual learning needs and styles.
  • Strong communication skills and a friendly, engaging teaching style.
  • Ability to adapt to different learning styles and student needs.

Ways To Connect With Students
  • 1-on-1 Online Tutoring - Provide personalized instruction to individual students.
  • Instant Tutoring - Accept on-demand tutoring requests whenever you're available.

About Varsity Tutors And 1-on-1 Online Tutoring
Our mission is to transform the way people learn by leveraging advanced technology, AI, and the latest in learning science to create personalized learning experiences. Through 1-on-1 Online Tutoring, students receive customized instruction that helps them achieve their learning goals. Our platform is designed to match students with the right tutors, fostering better outcomes and a passion for learning.
Please note: Varsity Tutors does not contract in: Alaska, California, Colorado, Delaware, Hawaii, Maine, New Hampshire, North Dakota, Vermont, West Virginia or Puerto Rico.

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