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Internship Apple Machine Learning Engineer Jobs in Naples, FL

Sr Data Engineer

Estero, FL · On-site

$130K/yr

Build data integrations supporting analytics, reporting, machine learning, and operational use ... Mentor junior engineers and promote data engineering best practices. Required Qualifications

New

Python) * 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and ...

... machine learning, and emerging technologies to solve complex business challenges. This role is ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

... machine learning, and emerging technologies to solve complex business challenges. This role is ... Collaborate closely with engineering, data, and cross-functional teams to ensure successful ...

Component Cell Machine Operator

Naples, FL · On-site

$16 - $19/hr

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

We're committed to making a positive impact on the world, providing you with diverse learning and ... As an experienced manufacturer we assure that all of our products are engineered and manufactured ...

Python) * 3+ years of end-to-end machine learning model development experience (e.g. problem statement definition, exploratory data analysis, feature engineering, model development / tuning, and ...

Guide the development and application of advanced statistical, machine learning, and AI-driven ... Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well ...

In this role, you will work with the Programming team to tailor therapeutic and recreational ... online learning library, designed to enhance your current skills and build new ones * Growth ...

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Showing results 1-20

Internship Apple Machine Learning Engineer information

See Naples, FL salary details

$24K

$40.1K

$82.9K

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

As of Aug 19, 2026, the average yearly pay for internship apple machine learning engineer in Naples, FL is $40,106.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,600.00 and $43,300.00 per year, depending on experience, location, and employer.

What is the difference between Internship Apple Machine Learning Engineer vs Software Engineering Intern?

AspectInternship Apple Machine Learning EngineerSoftware Engineering Intern
Required CredentialsRelevant coursework, programming skills, some experience in MLComputer science fundamentals, programming skills, coursework
Work EnvironmentResearch-focused, data-driven projects within AppleSoftware development projects, coding, testing
Employer & Industry UsageApple, technology, AI/ML applicationsVarious tech companies, software development

Both roles involve programming and technical skills, but the Internship Apple Machine Learning Engineer focuses on machine learning projects within Apple, requiring knowledge of ML frameworks. The Software Engineering Intern role is broader, emphasizing general software development. Candidates interested in AI/ML should consider the Machine Learning Engineer internship for specialized experience, while those seeking general software development roles may prefer the Software Engineering Intern position.

What are popular job titles related to Internship Apple Machine Learning Engineer jobs in Naples, FL?

For Internship Apple Machine Learning Engineer jobs in Naples, FL, the most frequently searched job titles are:

What job categories do people searching Internship Apple Machine Learning Engineer jobs in Naples, FL look for?

The top searched job categories for Internship Apple Machine Learning Engineer jobs in Naples, FL are:

Infographic showing various Internship Apple Machine Learning Engineer job openings in Naples, FL as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 22% Part Time, and 1% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,106 per year, or $19.3 per hour.

$130K/yr

Full-time

Posted yesterday

New


Hertz rating

6.3

Company rating: 6.3 out of 10

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Job description

A Day in the Life
The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and workflows that support analytics, business intelligence, machine learning, and software products. This role partners closely with Data Scientists, Engineers, Analysts, Developers, and business stakeholders to deliver trusted, high-quality data solutions that drive operational efficiency and data-driven decision making.
As part of a 12-person Data Engineering team, this individual will help build and maintain a single source of truth for enterprise data. The role is heavily focused on the engineering side of the platform, developing and optimizing Silver and Gold layer data assets that support reporting, analytics, and downstream business applications.

Anticipated hiring rate starts at: $130,000. Actual base salary will be determined based on work location, relevant experience, skills, qualification and other job related factors.

Visa sponsorship is not available for these roles.

What You'll Do
  • Design, build, and maintain scalable ETL/ELT pipelines and data workflows.
  • Develop and optimize Silver and Gold layer datasets within a modern data lake architecture.
  • Build data integrations supporting analytics, reporting, machine learning, and operational use cases.
  • Perform data ingestion, cleansing, transformation, migration, and validation activities.
  • Develop automated workflows to improve operational efficiency and data reliability.
  • Ensure data quality, integrity, and performance across enterprise data platforms.
  • Support batch and streaming data processing initiatives.
  • Design, implement, test, and document data pipelines and integrations.
  • Identify opportunities to simplify, automate, and modernize existing data processes.
  • Partner with cross-functional teams to deliver trusted, curated datasets for business consumption.
  • Mentor junior engineers and promote data engineering best practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Information Systems, or related field, or equivalent experience.
  • 8+ years of hands-on Data Engineering or ETL development experience.
  • 2+ years of experience working with Data Lakes in a cloud environment.
  • Strong experience building and supporting enterprise-scale ETL/ELT solutions.
  • Hands-on experience with Databricks and/or PySpark.
  • Experience developing and optimizing data pipelines within modern lakehouse architectures.
  • Experience with ETL tools such as Informatica.
  • Experience with event-driven and streaming technologies such as Kafka or Amazon Kinesis.
  • Strong programming skills in Python, Scala, Java, or similar languages.
  • Excellent problem-solving, analytical, and communication skills.
Preferred Qualifications
  • Experience with Azure and/or AWS cloud platforms.
  • Experience supporting Medallion Architecture, including Silver and Gold layers.
  • Experience improving data quality, governance, and operational efficiency.
  • Experience building streaming and real-time data processing solutions.
  • Agile/Scrum experience.
The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world.
 
US EEO STATEMENT 
At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. 
Individuals are encouraged to apply for positions because of the characteristics that make them unique. 
EOE, including disability/veteran

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