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Contract Apple Machine Learning Engineer Jobs in Santa Rosa, CA

Machine Learning/AI Engineer (Lead)

Santa Rosa, CA · On-site

$112K - $147K/yr

Machine Learning Lead/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD ***Need Strong experience in ...

Machine Learning/AI Engineer (Lead)

Sonoma, CA · On-site

$114K - $151K/yr

Machine Learning Lead/AI Engineer (Lead) Location :: Alpharetta GA (OR) Oakland Bay area , CA (weekly one day in office) Exp Req : 15-20 Yrs Max Visa : USC/GC/GC EAD ***Need Strong experience in ...

You will work in an organization of world-class machine learning researchers and engineers. Our work powers technologies across the Apple ecosystem and is published in the most selective scientific ...

Practical knowledge of validating machine learning models and algorithms. Strong understanding of ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...

Practical knowledge of validating machine learning models and algorithms. Strong understanding of ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...

Showing results 21-40

Contract Apple Machine Learning Engineer information

See Santa Rosa, CA salary details

$34.4K

$140.8K

$211.6K

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

As of Aug 8, 2026, the average yearly pay for contract apple machine learning engineer in Santa Rosa, CA is $140,787.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,000.00 and $169,500.00 per year, depending on experience, location, and employer.

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 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 popular job titles related to Contract Apple Machine Learning Engineer jobs in Santa Rosa, CA? For Contract Apple Machine Learning Engineer jobs in Santa Rosa, CA, the most frequently searched job titles are:
What job categories do people searching Contract Apple Machine Learning Engineer jobs in Santa Rosa, CA look for? The top searched job categories for Contract Apple Machine Learning Engineer jobs in Santa Rosa, CA are:
What cities near Santa Rosa, CA are hiring for Contract Apple Machine Learning Engineer jobs? Cities near Santa Rosa, CA with the most Contract Apple Machine Learning Engineer job openings:

Camera Software- Sr. Machine Learning Research Engineer

Apple

Bodega Bay, CA

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

iPhone is the most popular camera in the world. The flawless integration of software and hardware has led to features like Memories and Portrait Mode which deliver experiences that are magical. The Camera & Photos team focuses on user-experience by using computer vision and image processing through machine learning. Our team works hard on products that ship to millions of people. We are looking for people who want to do the same.
The Computational Imaging team develops the camera pipelines and innovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, our team delivers the quality and features which help to re-define mobile photography. In this role, you will work hands-on with diffusion models, transformers and next-gen generative techniques, while collaborating closely with product, design and research teams to bring your ideas to life. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you.
Description
Design novel generative model architectures and training strategies for vision and computational photography applications.
Fine-tune and adapt pre-trained models for specific use cases and domains.
Build scalable and robust data pipelines for large-scale image and video datasets.
Develop comprehensive evaluation frameworks including implementing quantitative metrics and qualitative analysis methodologies, conducting ablation studies and hyper-parameter optimization, for model performance assessment.
Conduct deep technical analysis and identify research directions.
Participate in code reviews, technical discussions and knowledge sharing sessions.
Communicate complex technical concepts through clear documentation and presentations.
Stay current with latest research in generative AI, computer vision and computational photography. Translate findings into practical applications.
Preferred Qualifications
Minimum PhD + 2 years or MS + 5 years industry experience.
Expertise in image processing, computer vision and deep learning.
Strong experience with deep learning frameworks (e.g. PyTorch) and modern ML toolchains.
Proven experience with training and developing generative models.
Hands-on with multi-GPU/multi-node/distributed training and large-scale experimentation.
Curiosity-driven with a track-record of identifying and solving complex technical problems.
Excellent communication skills and an ability to bridge gap between technical depth and product impact.
Collaborative mindset with openness to feedback and continuous learning.
Publications at major conferences (CVPR, ICCV, NeurIPS, ICML) or open-source contributions would be a plus.
Minimum Qualifications
PhD or MS + 3 years industry experience.
Solid foundation in image processing, computer vision and deep learning fundamentals.
Academic or project experience with image/video generation models.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976