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Entry Level Apple Machine Learning Engineer Jobs in Greenbrier, TN

Data Scientist

Nashville, TN · On-site

$60K/yr

Support senior data scientists in building and validating statistical and machine learning models ... Work closely with cross-functional teams including finance, data engineering, and business strategy ...

Data Science Tutor

Nashville, TN · Remote

$18 - $40/hr

Deep knowledge of statistical analysis, data wrangling, exploratory data analysis, machine learning, data visualization, SQL, Python or R programming, hypothesis testing, and communication of data ...

Python Tutor

Nashville, TN · Remote

$18 - $40/hr

Emphasizes readable, maintainable code and connects Python to machine learning, web scraping, scientific computing, and DevOps applications. * Curriculum Awareness & Adaptive Instruction: Familiar ...

Experience with statistical and mathematical modeling, artificial intelligence and machine learning software and methods * Experience and knowledge of programming and scripting languages such as, but ...

Machine Operator - Day Shift

Gallatin, TN · On-site

$20.50 - $27.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... including engineered structural mesh, concrete pipe reinforcement, and standard welded wire ... Including adhering to strict PPE guidelines and learning safety standards for the facility and ...

Machine Operator - Day Shift

Gallatin, TN · On-site

$20.50 - $27.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... including engineered structural mesh, concrete pipe reinforcement, and standard welded wire ... Including adhering to strict PPE guidelines and learning safety standards for the facility and ...

Showing results 41-60

Entry Level Apple Machine Learning Engineer information

See Greenbrier, TN salary details

$25.7K

$59.3K

$100.9K

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

As of Aug 13, 2026, the average yearly pay for entry level apple machine learning engineer in Greenbrier, TN is $59,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $67,100.00 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 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 Greenbrier, TN are hiring for Entry Level Apple Machine Learning Engineer jobs? Cities near Greenbrier, TN with the most Entry Level Apple Machine Learning Engineer job openings:
Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Greenbrier, TN as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 67% Full Time, 10% Part Time, 19% Contract, and 1% Nights. Highlights an 57% Physical, and 43% Remote job distribution, with an average salary of $59,321 per year, or $28.5 per hour.

Associate Solutions Engineer, Commercial (Nashville - Onsite)

Motive

Nashville, TN

Full-time

Posted 19 days ago


Job description

About the Role:

As an Associate Solutions Engineer (ASE), your journey starts in the Academy phase, focusing on rigorous product training, specializing in our cutting-edge AI, ML, and IoT platform, mastering sales methodology, and developing foundational technical skills. Upon successful completion and graduation from the Academy phase, you are eligible to begin supporting the Commercial sales team on small, transactional deals. Successful performance in this role leads to subsequent progression opportunities to support new segments (Mid-Market, Enterprise) or specialist markets (Public Sector, Franchise, and Networks).

What You'll Do:
  • Participate fully in the Solutions Engineering Academy bootcamp, mastering core product knowledge, sales methodologies, and demonstration techniques.
  • Shadow and support the Commercial sales team throughout the sales cycle, including discovery calls and technical discussions, in preparation for a client-facing role.
  • Conduct internal practice demonstrations of the Motive product offering, effectively showcasing our core value proposition, specifically the capabilities driven by Artificial Intelligence and Machine Learning.
  • Develop expertise in Motive's integrated platform, spanning IoT hardware (in-vehicle devices, sensors), cloud-based data aggregation, and AI/ML features that automate complex operational workflows.
  • Learn to successfully match customer pain points and requirements to proposed solutions, articulating clear business benefits and foundational return on investment (ROI).
  • Rapidly become a subject matter expert on Motive's current product offering and future roadmap.
  • Collaborate closely with the Product Team to provide feedback from the field and assist with training on new feature releases.
  • Act as a technical liaison during the training phase between the sales team and various internal organizations, including Product, Engineering, and Customer Success, ensuring seamless information flow.
  • Prepare and deliver technical presentations and mock proposals that clearly articulate the value and functionality of Motive's solutions.
What We're Looking For:
  • Bachelor's Degree required
  • 0-1 years of professional experience. Internship experience in a pre-sales, technical support, or customer-facing role is a significant plus.
  • A strong desire and ability to quickly learn complex SaaS and hardware solutions, paired with a genuine interest in experimenting with and understanding how AI/ML models and IoT devices operate in real-world environments.
  • Excellent communication skills, both verbal and written, with the ability to explain complex technical concepts in an understandable way.
  • Proven analytical and problem-solving skills, with the ability to understand customer challenges and propose effective technical solutions.
  • The ability to quickly connect technical solution features to tangible business outcomes and value.
  • A strong desire to learn, grow, and execute in a dynamic and fast-paced environment.
  • Interest in the Transportation & Logistics industry is beneficial.