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Contract Apple Machine Learning Engineer Jobs in Granger, IN

Assists engineering in maintaining of processes and machines, including trial runs and PPAPs ... Respect fellow Team Members. * Continue learning. * Be on time. * Abide by our values.

Assists engineering in maintaining of processes and machines, including trial runs and PPAPs ... Respect fellow Team Members. * Continue learning. * Be on time. * Abide by our values.

Showing results 41-60

Contract Apple Machine Learning Engineer information

See Granger, IN salary details

$28.2K

$115.5K

$173.5K

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

As of Aug 18, 2026, the average yearly pay for contract apple machine learning engineer in Granger, IN is $115,460.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $139,000.00 per year, depending on experience, location, and employer.

What is a contract Apple machine learning engineer?

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 are the key skills and qualifications needed to thrive as a contract Apple machine learning engineer?

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.

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 cities near Granger, IN are hiring for Contract Apple Machine Learning Engineer jobs?

Cities near Granger, IN with the most Contract Apple Machine Learning Engineer job openings:

Infographic showing various Contract Apple Machine Learning Engineer job openings in Granger, IN as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $115,460 per year, or $55.5 per hour.

Postdoctoral Research Fellow - Computational Models of Coupled Natural and Human Systems

University of Notre Dame

Notre Dame, IN • On-site

$48K - $65K/yr

Full-time

Posted 6 days ago


University Of Notre Dame rating

7.4

Company rating: 7.4 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

337th of 618 rated colleges and universities


Job description

Company Description

The University of Notre Dame is more than a workplace! We are a vibrant, mission-driven community where every employee is valued and supported. Rooted in a tradition of excellence and inspired by our Catholic character, Notre Dame is committed to fostering an environment of care that nurtures the whole person—mind, body, and spirit. Here, you will find a deep sense of belonging, a culture that prioritizes well-being, and the opportunity to grow your career while being a force for good in the world. Whether contributing to world-class research, shaping the student experience, or supporting the University’s mission in other ways, you will be part of a dedicated team working to make a meaningful impact on campus and beyond. At Notre Dame, your work matters, and so do you!

Job Description

This Postdoctoral Fellow position is being managed through a separate application system. We are sharing here to increase visibility and accessibility.  Apply here through September 7, 2026 if you are interested. 

A team of faculty members affiliated with the University of Notre Dame’s Just Transformations to Sustainability Initiative is seeking a highly qualified and motivated Postdoctoral Research Fellow in Computational Models of Coupled Natural and Human Systems, with a strong interest in combining forest ecology and environmental policy. This is a full-time research-focused position with no teaching responsibilities. The initial appointment is for 12 months, with the possibility of renewal for an additional 6-12 months. The successful candidate will work collaboratively with investigators from the Keough School of Global Affairs, Department of Biological Sciences, and the JTS Initiative to conduct research on local communities’ forest conservation efforts.

The ideal candidate will possess expertise in computational modeling, including but not limited to statistical analysis and mechanistic computational models. They should also have experience  in the analysis of remote sensing products. The successful candidate will also be expected  to carry out fieldwork related to local community forest conservation efforts in Peru. 

The fellow will join a dynamic, interdisciplinary team working at the intersection of data innovation and sustainability science, aligned with the values and principles of integral ecology.

The postdoctoral fellow will assume the following key responsibilities:

  • Carry out spatial analysis of Peru forest cover change using remote sensing products
  • Use an existing computational model of forest dynamics to evaluate ecological consequences of local conservation efforts
  • Carry out field work in Peru, as a member of an interdisciplinary research team, to evaluate and improve computational models
  • Work with partners to communicate research results in order to make the conservation efforts of local communities more visible to policymakers
  • Present research findings at scientific conferences and contribute to academic journal publications

The fellows will  join a cohort of postdoctoral scholars supported by the Just Transformations to Sustainability Initiative, Notre Dame's University-wide effort to build a sustainable future where people and nature flourish together. The cohort works on sustainability research that engages ecological, social, economic, and ethical dimensions together rather than in isolation.

This is a full-time, in-person position with an initial appointment of one year.

Qualifications
  • Ph.D. (in hand by the starting date) in Forest Ecology, Environmental Science, Environmental Studies, Conservation Biology, or a related field with a strong quantitative focus.
  • Strong computational skills, with expertise in data analysis, machine learning, modeling, and programming languages such as Python, R, MATLAB, or similar.
  • Ability to spend several weeks in Peru carrying out fieldwork with local partners.
  • Excellent communication skills, with the ability to present complex research concepts clearly to both technical and non-technical audiences.

Additional Information

The University of Notre Dame seeks to attract, develop, and retain the highest quality faculty, staff and administration. The University is an Equal Opportunity Employer, and does not discriminate on the basis of race, color, national or ethnic origin, sex, disability, veteran status, genetic information, or age in employment. Moreover, Notre Dame prohibits discrimination against veterans or disabled qualified individuals, and complies with 41 CFR 60-741.5(a) and 41 CFR 60-300.5(a). We strongly encourage applications from candidates attracted to a university with a Catholic identity.


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