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Contract Apple Machine Learning Engineer Jobs in Santa Rosa, CA

Competency in signal processing, sensor fusion, machine learning and mathematical modeling is an ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...

Competency in signal processing, sensor fusion, machine learning and mathematical modeling is an ... Pay & Benefits At Apple, base pay is one part of our total compensation package and is determined ...

... Mac, Apple Watch, Vision Pro, and many more future products. Come join us and put a dent in the ... Machine Learning (ML) tools, identifying optimal integration strategies within the FEA workflow ...

Use machine learning and AI technologies to identify design and test bench issues and ensure DV ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...

Use machine learning and AI technologies to identify design and test bench issues and ensure DV ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...

Use machine learning and AI technologies to identify design and test bench issues and ensure DV ... Apple employees also have the opportunity to become an Apple shareholder through participation in ...

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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 Jun 26, 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, 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.

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 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 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:
Senior Machine Learning iOS Platform Engineer - Responsible AI and Safety

Senior Machine Learning iOS Platform Engineer - Responsible AI and Safety

Apple

Bodega Bay, CA

$171K - $302K/yr

Full-time

Medical, Dental, Retirement

Posted 17 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 662 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

Join Us in Shaping the Future of Generative AI at Apple!
Are you passionate about making AI systems safer, more inclusive, and globally representative? Apple is seeking an expert Client Engineer to own the integration of our Responsible AI mitigation assets across the full deployment surface, from on-device foundation models running on Apple Silicon to server-side inference on Private Cloud Compute (PCC).
In this role, you will be a pivotal technical leader, bridging Swift client engineering and ML deployment, driving the architectural vision, design, and implementation of how safety classifiers, guardrail models, and mitigation policies are shipped, invoked, and streamed alongside our generative features. You will take end-to-end ownership, from initial concept and rapid prototyping to delivering robust, high-performance, and maintainable solutions that minimize unintended consequences across people, systems, and society while elevating feature capabilities and the overall user experience. Together, we’ll anticipate challenges, measure real-world impact, and deliver trusted, high-quality AI experiences to users around the globe.
Description
Our team leads Responsible AI initiatives for global generative AI products, operating at the intersection of policy, product, and GenAI. We build the safety classifiers, content filters, and policy enforcement layers that protect users from unintended model behavior. This role is about getting those assets into users' hands reliably, on the device or in the cloud, at the latency and quality bar Apple expects. We are seeking candidates who will work closely with multiple stakeholders, ranging from design, engineering, legal and regulatory to ensure our safeguards advance both user protection and product innovation. You will work on defining mitigation architectures, owning the implementation and overseeing the integration in production. Additionally, you will contribute to modeling, tooling and frameworks, as well as dataset, and evaluation methods to monitor, diagnose failures, and improve the safety of generative models throughout the deployment lifecycle.","responsibilities":"Architectural Leadership: Defining and evolving the technical architecture for complex multimodal workflows, ensuring scalability, performance, and future extensibility.
Feature Innovation: Leading the design and implementation of cutting-edge features that leverage Apple's unique hardware and software capabilities.
Technical Mentorship & Growth: Guiding and mentoring a team of talented engineers, fostering best development practices, and contributing to the growth and culture of the team.
Cross-Functional Collaboration: Partnering closely with other engineering teams to translate Safety needs into same and performant software experiences.
Performance Optimization: Ensure our features set the benchmark for speed and efficiency, by expertly optimizing for large-scale image processing and real-time interactions, resulting in an unparalleled user experience.
Contribute to deployment pipeline and tooling efforts as needed
Preferred Qualifications
Working knowledge of on-device ML runtimes (Core ML, MLX, or equivalent) and the model-export lifecycle: converting trained models into shippable assets, and loading them efficiently at runtime
Working knowledge of frontier/LLM models including token-streaming inference, tokenization, and buffering strategies
Experience building applications that utilize modern ML/AI technology
Minimum Qualifications
12+ years of professional experience, with at least 5+ years in iOS / macOS application development in both Objective C and Swift
Expertise in Apple's Core iOS and Foundation frameworks
BS in Computer Science, Mathematics, Statistics, or a related field, or equivalent industry experience
Experience in shipping impactful mobile frameworks used by others outside your direct team
Experience leading the architecture and development of complex, high-performance production systems
Demonstrated ability to technically lead projects, mentor engineers, and drive cross-functional initiatives from concept to delivery
Excellent analytical, problem solving and communication skills
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 $171,600 and $302,200, 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.

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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