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Entry Level Apple Machine Learning Engineer Jobs in Coronaca, SC

Rural King

Cashier

Anderson, SC · On-site

$10.25 - $14/hr

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King

Cashier

Anderson, SC · On-site

$10.25 - $14/hr

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King

Cashier

Anderson, SC

$10.25 - $14/hr

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King

Outside Recovery Associate

Anderson, SC · On-site

$52K - $67K/yr

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King

Outside Recovery Associate

Anderson, SC

$52K - $67K/yr

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Rural King

Outside Recovery Associate

Anderson, SC · On-site

$52K - $67K/yr

Whether you are starting an entry-level position or joining with professional experience, Rural ... Actively participate in learning initiatives offered such as training programs, workshops, and ...

Eaton

Production Supervisor- 3rd Shift

Greenwood, SC · On-site

$86K - $126K/yr

... and engineering to resolve manufacturing and manufacturing support issues. • Lead the ... material shortages, machine or equipment defects and causes for delays. Lead productivity ...

All JobsApple Machine Learning Engineer JobsEntry Level Apple Machine Learning Engineer JobsEntry Level Apple Machine Learning Engineer Jobs in Coronaca, SC

Entry Level Apple Machine Learning Engineer information

See Coronaca, SC salary details

$23.5K

$54.3K

$92.4K

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 Coronaca, SC is $54,308.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,300.00 and $61,500.00 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.
Entry Level Apple Machine Learning Engineer jobs near you
Infographic showing various Entry Level Apple Machine Learning Engineer job openings in Coronaca, SC 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 $54,308 per year, or $26.1 per hour.

Machine Learning Engineer II

Techtronic Industries - TTI

Anderson, SC • On-site

Full-time

Re-posted 2 days ago

Techtronic Industries TTI rating

8.2

Company rating: 8.2 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

129th of 487 rated machine equipment manufacturers

Job description

Job Summary:
Techtronic Industries is a fast-growing world leader in Power Tools and Accessories, seeking an Electrical Machine Learning Engineer II to join their team. The role involves identifying and developing ML-enabled features for outdoor power tools, collaborating with cross-functional teams to create data-driven solutions.
Responsibilities:
• Identify, develop, and validate ML-enabled features for outdoor power tools within the OP EE organization.
• Frame ML use cases, design data-collection strategies and ground-truth methods.
• Perform data engineering and feature development, train and tune models in Python, and execute validation to characterize accuracy, robustness, and corner cases.
• Establish and improve team workflows and guidelines covering the end-to-end ML lifecycle—from problem definition through model training, validation, and deployment considerations.
Qualifications:
Required:
• Bachelor of Science degree in Computer Science, Computer Engineering, Electrical Engineering, or a related scientific/engineering discipline with completed coursework, certification, or specialization in Machine Learning, Data Science, or a closely related area.
• Minimum 2 years of hands-on experience applying ML in an applied setting (e.g., embedded/edge, signal processing, sensing, or electromechanical products), including data collection and model validation.
• Demonstrated experience applying fundamental ML approaches (e.g., supervised learning for classification/regression, feature engineering, model selection, and hyperparameter tuning).
• Proficient in developing, debugging, and validating Python code, with experience in common libraries (NumPy, pandas, scikit-learn, Matplotlib, etc.).
• Experience with modern software development practices and tools (Git-based workflows; familiarity with CI/CD and containers is a plus).
• Ability to develop and debug code in an embedded environment (C/C++ preferred), including bring-up and hardware-facing troubleshooting will be a plus.
• Basic knowledge of sensor technologies (e.g., IMUs, thermistors/temperature sensing, magnetic/optical sensing) and microcontroller interfacing.
• Strong problem-solving and system-thinking skills, with the ability to work in a fast-paced, prototype-to-demo environment.
• Strong technical communication skills and the ability to plan/execute work to meet project schedules.
• Demonstrated ownership of deliverables, including understanding dependencies and collaborating effectively with cross-functional stakeholders.
Company:
Techtronic Industries Company Limited (“TTI”, or the “Company”), founded in 1985 by German entrepreneur Horst Julius Pudwill, is a world leader in cordless technology. Founded in 1985, the company is headquartered in Kwai Tsing, HKG, with a team of 10001+ employees. The company is currently Late Stage.

What Techtronic Industries TTI employees say

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Hours and flexibility

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