1

Contract Apple Machine Learning Engineer Jobs in Indiana

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum) We're looking for a Machine Learning Engineer to join our growing team.

Machine Learning Engineer Working Pattern: Full-time Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum) We're looking for a Machine Learning Engineer to join our growing team.

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

next page

Showing results 1-20

Contract Apple Machine Learning Engineer information

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position such as a senior machine learning engineer or AI research scientist, often in leading tech companies. These roles usually require advanced skills in deep learning, data analysis, and experience with tools like TensorFlow or PyTorch, and may include performance-based bonuses or stock options that contribute to the total compensation.

What are the key skills and qualifications needed to thrive as a Contract Apple Machine Learning Engineer, and why are they important?

To thrive as a Contract Apple Machine Learning Engineer, you need a strong background in computer science, mathematics, and deep learning, typically with a relevant degree and experience in building ML models. Proficiency with Python, TensorFlow or PyTorch, Apple's Core ML framework, and version control systems is commonly required. Strong problem-solving skills, collaboration, and effective communication help you navigate project requirements and work with cross-functional teams. These skills and experiences are crucial for delivering high-quality, scalable machine learning solutions that align with Apple's standards and rapidly evolving technology needs.

Which 3 jobs will survive AI?

For a Contract Apple Machine Learning Engineer, roles that require complex problem-solving, creativity, and human interaction—such as AI ethics specialists, creative designers, and strategic consultants—are less likely to be fully replaced by AI. These jobs often involve nuanced judgment, emotional intelligence, and domain expertise that AI cannot replicate easily.

Will MLE be replaced by AI?

As a Contract Apple Machine Learning Engineer, the role involves designing and implementing ML models, which AI systems currently support but do not fully replace. Human expertise in model development, data analysis, and system integration remains essential, especially for complex tasks and ethical considerations. AI tools can augment the work of MLEs but are unlikely to fully replace the need for skilled engineers in the near future.

How much does Apple pay machine learning engineers?

Apple pays machine learning engineers an average salary ranging from $120,000 to $180,000 annually, depending on experience, location, and level. Compensation may also include bonuses, stock options, and benefits, with roles often requiring expertise in deep learning, data analysis, and programming in Python or Swift.

What are the common challenges faced by Contract Apple Machine Learning Engineers when integrating ML models into Apple’s ecosystem?

Contract Apple Machine Learning Engineers often encounter challenges such as ensuring seamless integration of machine learning models with Apple’s proprietary platforms like iOS, macOS, or Core ML. Adapting to Apple’s strict security, privacy standards, and performance requirements is essential, as is optimizing models for real-time performance on Apple devices. Collaborating effectively with cross-functional teams—such as software developers, designers, and QA engineers—is crucial to deliver scalable and user-friendly ML features within project timelines.

What are Contract Apple Machine Learning Engineers?

Contract Apple Machine Learning Engineers are professionals hired on a temporary or project basis to develop and implement machine learning models and algorithms specifically for Apple’s products and platforms. They typically work on tasks such as optimizing machine learning workflows for iOS, macOS, or other Apple technologies, and may collaborate closely with Apple’s in-house teams. Their responsibilities can include data preprocessing, model training, evaluation, and integration into Apple’s ecosystem. These engineers are expected to have expertise in machine learning frameworks, programming languages like Python or Swift, and a strong understanding of Apple’s development tools. Contract roles often provide flexibility but may require quick adaptation to Apple’s proprietary systems and high standards.
What job categories do people searching Contract Apple Machine Learning Engineer jobs in Indiana look for? The top searched job categories for Contract Apple Machine Learning Engineer jobs in Indiana are:
What cities in Indiana are hiring for Contract Apple Machine Learning Engineer jobs? Cities in Indiana with the most Contract Apple Machine Learning Engineer job openings:
Machine Learning Engineer

Machine Learning Engineer

Rolls-Royce

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Rolls-Royce rating

9.0

Company rating: 9.0 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

24th of 427 rated machine equipment manufacturers


Job description

Job Description
Job Title: Machine Learning Engineer
Working Pattern: Full-time
Working location: Indianapolis, IN (Hybrid Schedule/3 days onsite minimum)
We're looking for a Machine Learning Engineer to join our growing team. In this role, you will tackle exciting challenges in AI/ML, software development, and Data Science. You'll be part of a multi-disciplinary team, working together to tackle technical challenges in a stimulating and collaborative environment. In this role, your focus will be on building and deploying tools to deliver insights on Rolls-Royce products.
Why Rolls-Royce?
Rolls-Royce is one of the most enduring and iconic brands in the world and has been at the forefront of innovation for over a century. We design, build and service systems that provide critical power to customers where safety and reliability are paramount.
We are proud to be a force for progress, powering, protecting and connecting people everywhere.
We want to ensure that the excellence and ingenuity that has shaped our history continues into our future and we need people like you to come and join us on this journey.
Rolls-Royce has been recognized as the top employer in the Engineering & Manufacturing category on the prestigious Forbes Top Employers for Engineers list for 2025. This ranking highlights our commitment to innovation, employee development, and fostering a collaborative environment where engineers can thrive.
Be part of a team that sets the industry standard and drives groundbreaking solutions.
At Rolls-Royce, we are committed to creating a workplace where all employees feel respected, supported, and empowered to do their best work. We foster a welcoming and innovative work environment that invests in you, giving you access to an incredible breadth and depth of opportunities where you can grow your career and make a difference.
Rolls-Royce is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to any protected characteristics.
What you will be doing
With this attractive opportunity you will get a chance to:
• Work with IT, and Rolls-Royce Fleet engineering teams address key opportunities for application of digital technologies providing optimal impact and value.
• Understand, clean, and analyze large datasets from engine sensors, test rigs, and fleet operations.
• Build, train, and validate machine learning models for tasks such as searching engineering knowledge, anomaly research, production support, and predictive maintenance.
• Document your work clearly and present findings to both technical and non-technical audiences.
Who we're looking for:
At Rolls-Royce we put safety first, do the right thing, keep it simple and make a difference. These principles form the behaviours that guide us and are an essential component of our assessment process. They are the fundamental qualities that we seek for all roles.
Basic Requirements:
  • Bachelor's degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, Physics with 2+ years of machine learning experience; OR
  • Masters degree in Engineering, Chemistry, Computer Science, Information Technology, Mathematics, Data Science, Physics, OR
  • PhD in Engineering, Chemistry, Computer Science,, Information Technology, Mathematics, Data Science or Physics.
  • In order to be eligible for consideration, you must be a U.S. Citizen

Preferred Requirements:
  • 3+ years of machine learning experience
  • Experience in accelerating product design and delivering impactful digital products
  • Experience with modern software development methodologies and coding languages
  • Experience developing solutions in surrogate modelling, Generative AI, or Agentic AI
  • Excellent technical and soft skills including systems thinking aptitude, communications, time management, business acumen, and collaboration across multi-disciplinary teams.
  • Strong problem-solving instincts and the ability to work across disciplines with people who are not data or A.I. specialists but engineer and support mechanical systems.
  • Experience with mentoring and educating other members of the team. Actively learn, develop, apply, and share recently gained knowledge and skills in this face-paced and dynamic discipline.

What we offer
We offer excellent development opportunities, a competitive salary, and exceptional benefits. These include bonus, employee support assistance and employee discounts.
Your needs are as unique as you are. Hybrid working is a way in which our people can balance their time between the office, home, or another remote location. It's a locally managed and flexed informal discretionary arrangement.
As a minimum we're all expected to attend the workplace for collaboration and other specific reasons, on average three days per week.
For fully remote roles, employees can live in any state except Idaho, Nebraska, Nevada, Vermont, and Wyoming.
Relocation assistance is available for this position.
Grade Level: GG10
Closing date: July 9th, 2026
Job Category
Mechanical Systems
Job Posting Date
02 Jul 2026; 00:07
Pay Range
$98,566 - $160,169-Annually
Location:
Indianapolis, IN
Benefits
Rolls-Royce provides a comprehensive and competitive Total Rewards package that includes base pay and a discretionary bonus plan. Eligible employees may have the opportunity to enroll in other benefits, including health, dental, vision, disability, life and accidental death & dismemberment insurance; a flexible spending account; a health savings account; a 401(k) retirement savings plan with a company match; Employee Assistance Program; Paid Time Off; certain paid holidays; paid parental and family care leave; tuition reimbursement; and a long-term incentive plan. The options available to an employee may vary depending on eligibility factors such as date of hire, employment type, and the applicability of collective bargaining agreements.

What Rolls-Royce employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom