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Internship Apple Machine Learning Engineer Jobs in Franklin, TN

Principal Platform Software Engineer

Nashville, TN · On-site

$130K - $174K/yr

Guide the application of machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge. * Develop architectural approaches for failure ...

AI Solutions Engineering Delivery Lead

Nashville, TN · On-site

$99K - $130K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Apply machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge. * Build safe traffic-generation and workload-modeling systems that ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Apply machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge. * Build safe traffic-generation and workload-modeling systems that ...

Senior Platform Software Engineer

Nashville, TN · On-site

$118K - $156K/yr

Apply machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge. * Build safe traffic-generation and workload-modeling systems that ...

Lead Generative AI Data Engineer III

Nashville, TN · On-site

$99K - $130K/yr

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases. * Manage AI engineering workstreams by assigning ...

Senior Forward Deployed Engineer- AWS

Nashville, TN · On-site

$100K - $138K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Lead Forward Deployed Engineer - AWS

Nashville, TN · On-site

$99K - $130K/yr

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

... Machine Learning Engineer (Associate - MLA-C01) or AWS Certified Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50 ...

NGA AI Engineer Manager

Nashville, TN · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 41-60

Internship Apple Machine Learning Engineer information

See Franklin, TN salary details

$25.2K

$42.1K

$86.9K

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

As of Sep 7, 2026, the average yearly pay for internship apple machine learning engineer in Franklin, TN is $42,052.00, according to ZipRecruiter salary data. Most workers in this role earn between $32,100.00 and $45,400.00 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 job categories do people searching Internship Apple Machine Learning Engineer jobs in Franklin, TN look for?

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

Infographic showing various Internship Apple Machine Learning Engineer job openings in Franklin, TN as of August 2026, with employment types broken down into 33% Internship, and 67% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,052 per year, or $20.2 per hour.

Principal Platform Software Engineer

Oracle

Nashville, TN • On-site

$130K - $174K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 15 days ago


Oracle rating

8.7

Company rating: 8.7 out of 10

Based on 152 frontline employees who took The Breakroom Quiz

57th of 247 rated software companies


Job description


Oracle Cloud Infrastructure's (OCI) Developer Platform Builder Tools organization builds the next generation of developer productivity platforms, intelligent development workflows, and AI-powered engineering tools that accelerate software delivery across the enterprise.
We are seeking a Principal Platform Software Engineer to define the architecture and technical direction of scalable services that improve the developer experience and increase engineering productivity. You will work across platform engineering, distributed systems, cloud-native technologies, machine learning, large language models (LLMs), and developer tooling.
A key focus of this role is building a new AI-native testing platform that learns real-world service behavior, generates realistic test traffic, safely validates workloads, and detects regressions with minimal manual test authoring. Its closed-loop workflow observes changing traffic patterns, executes and evaluates tests, and continuously improves future coverage.
As a principal engineer, you will shape the platform from foundational architecture through production deployment and broad adoption across OCI. You will solve ambiguous, organization-wide technical problems, establish engineering standards, and provide technical leadership to senior engineers, product managers, data scientists, and OCI service teams.
Responsibilities
Key Responsibilities
  • Define the technical vision, architecture, and multiyear evolution of OCI's AI-native developer platforms.
  • Lead the design and delivery of secure, highly available services that operate reliably across large-scale, distributed cloud environments.
  • Architect systems that analyze service behavior, model traffic patterns, generate realistic workloads, and evaluate functional and non-functional outcomes.
  • Establish agent-assisted workflows that plan, execute, and evaluate canary, functional, integration, load, and performance tests within clearly defined safety controls.
  • Guide the application of machine learning and LLM capabilities to service telemetry, API changes, incidents, test results, and engineering knowledge.
  • Develop architectural approaches for failure diagnosis, regression detection, workload modeling, and the conversion of production incidents into reusable test coverage.
  • Define platform APIs, data models, extension points, and integration patterns that enable adoption across diverse OCI services and engineering environments.
  • Set engineering standards for scalability, reliability, observability, security, privacy, performance, and responsible AI.
  • Define success metrics and feedback loops that measure test effectiveness, traffic-pattern coverage, developer effort saved, platform reliability, and adoption.
  • Provide hands-on technical leadership, mentor senior engineers, resolve cross-team architectural challenges, and raise engineering standards across the organization.
Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
  • Eight or more years of professional software engineering experience, including significant experience designing and operating large-scale production systems.
  • Proficiency in one or more modern programming languages, such as Java, Go, Python, or C++.
  • Deep expertise in distributed systems, system design, APIs, concurrency, data modeling, and scalable service architectures.
  • Demonstrated success defining architecture and delivering complex platforms, backend services, microservices, event-driven systems, or large-scale data pipelines.
  • Experience developing and operating cloud-native software using CI/CD, containerization, orchestration, and infrastructure automation.
  • Strong understanding of service reliability, observability, performance engineering, security, and production operations.
  • Experience integrating machine learning, generative AI, or other intelligent capabilities into production software systems.
  • Proven ability to lead high-impact technical initiatives across multiple teams, influence without direct authority, and navigate ambiguous requirements.
  • Excellent technical judgment and communication skills, including the ability to explain complex architectural decisions to engineering, product, and executive stakeholders.
  • A track record of mentoring senior engineers and improving engineering practices across teams or organizations.
Preferred Qualifications
  • Experience architecting developer platforms, CI/CD systems, testing infrastructure, or engineering productivity tools at enterprise scale.
  • Experience developing production solutions using machine learning, generative AI, or LLMs.
  • Familiarity with AI agents, tool-using models, retrieval-augmented generation, prompt engineering, LLM-as-a-judge approaches, or model evaluation.
  • Experience with machine learning frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, or equivalent technologies.
  • Experience with traffic replay, workload modeling, canary analysis, load testing, performance testing, or chaos engineering.
  • Deep experience with Kubernetes, containers, service meshes, and OCI or another major public cloud.
  • Experience designing extensible, multi-tenant platforms used by multiple engineering organizations.
  • Experience analyzing API schemas, code changes, service dependencies, production incidents, and traffic patterns.
  • Familiarity with AI safety controls, model monitoring, privacy, and secure enterprise data handling.
Why Join Us
  • Define the architecture and technical direction of a new AI-native developer platform with broad impact across OCI.
  • Solve complex, high-ambiguity problems spanning distributed systems, cloud infrastructure, machine learning, and generative AI.
  • Build capabilities that help thousands of engineers reduce manual testing, detect regressions earlier, diagnose failures faster, and release with greater confidence.
  • Influence engineering strategy across teams while remaining deeply involved in technical design and implementation.
  • Work with experienced engineers, data scientists, product managers, and OCI service teams to establish a new standard for intelligent software testing at enterprise scale.

Qualifications
Disclaimer:
Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.
Range and benefit information provided in this posting are specific to the stated locations only
US: Hiring Range in USD from: $104,500 to $234,600 per annum. May be eligible for bonus, equity, and compensation deferral.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC4
About Us
Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.
True innovation starts when everyone is empowered to contribute. That's why we're committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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About Oracle

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An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry. In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation. Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business. At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions. That's why we're committed to creating a workforce where all individuals can do their best work. It's when everyone's voice is heard and valued that we're inspired to go beyond what's been done before.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Redwood City, CA, US

Year founded

1977

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