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Contract Apple Machine Learning Engineer Jobs in Berkeley, CA

Advatix Inc.

Machine Learning Engineer

San Mateo, CA · On-site

$110 - $165/hr

Machine Learning Engineer / Research Engineer Pay: $$110,000 - $165,000 Base Salary + Equity Shift: N/A Location: San Mateo, CA (Peninsula) - Onsite Preferred Schedule: Full time, Permanent Role Visa ...

Winaxis

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA (Local) Onsite interview Duration: 12+ Mos H1B Only h1 candidate About the Role: Our direct client is hiring a Machine Learning Engineer for their ...

MM International

Machine Learning Engineer

Fremont, CA · On-site

Machine Learning Engineer Location: Fremont, CA once the documents are verified, a Codility assessment will be shared with the candidate, where they need to score a minimum of 70% and post that, a ...

Apex Systems

Machine Learning Engineer

Pleasanton, CA · On-site

Position starts off as a 6 month contract Machine Learning Engineer Location: Pleasanton, California (Remote) Role Overview This role is focused on developing, deploying, and optimizing machine ...

Qubeaxis

Machine Learning Engineer

San Francisco, CA · On-site

$130 - $180/hr

Job Title Machine Learning Engineer Job ID 20985 Location Work Mode Onsite About the Team Our ML Platform team builds intelligent systems that power recommendations, forecasting, ranking ...

Poesis

Machine Learning Engineer

San Francisco, CA · On-site

$200K - $280K/yr

We're looking for an exceptional Machine Learning Engineer to help build the systems that make this possible. In this role, you'll develop models, signals and evaluation frameworks that power ...

Jobzhr

Machine Learning Engineer

Pleasanton, CA · On-site

$110 - $150/hr

Contract * W2 position * Work Location: Hybrid type of work in Pleasanton CA. Proficiency in ... Expertise in Python, R, and SQL is required, as well as familiarity with machine learning ...

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All JobsContract Apple Machine Learning Engineer JobsContract Apple Machine Learning Engineer Jobs in Berkeley, CA

Contract Apple Machine Learning Engineer information

See Berkeley, CA salary details

$38.6K

$157.7K

$236.9K

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

As of Aug 30, 2026, the average yearly pay for contract apple machine learning engineer in Berkeley, CA is $157,670.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $189,800.00 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 are popular job titles related to Contract Apple Machine Learning Engineer jobs in Berkeley, CA?

For Contract Apple Machine Learning Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Contract Apple Machine Learning Engineer jobs in Berkeley, CA look for?

The top searched job categories for Contract Apple Machine Learning Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Contract Apple Machine Learning Engineer jobs?

Cities near Berkeley, CA with the most Contract Apple Machine Learning Engineer job openings:

Contract Apple Machine Learning Engineer jobs near you
Infographic showing various Contract Apple Machine Learning Engineer job openings in Berkeley, CA 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 $157,670 per year, or $75.8 per hour.

Senior Machine Learning Engineer (Search)

San Francisco, CA • On-site

Apple Inc.
Computer and Electronic Product Manufacturing • 10K+ employees

8.1

Company rating: 8.1 out of 10

Based on 678 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

People enjoy working here

Good employer

Recommended by students

Learn more about Apple Inc.external

$216.20 - $324.80/hr

Other

Medical, Dental, Retirement

Re-posted 25 days ago

Job description

San Francisco Bay Area, California, United States — Software and Services

Apple Maps and the thousands of applications it empowers are used by millions every day. We are looking for a Machine Learning Engineer to join and help advance the next revolution of Maps, enabling users to find more things in innovative ways. You will have opportunities to build scalable technologies using Machine Learning and Generative AI to improve Apple Maps search quality.

Responsibilities
  • Develop and optimize machine learning algorithms to address key local search issues, including query understanding, intent modeling, ranking, and semantic search.
  • Design and develop tools, processes, and analytics for backend data-extraction pipelines, and perform hands-on analyses to answer hard hypotheses/questions.
  • Collaborate with teams across infrastructure, quality, and data to deliver features that enhance the end-user search experience.
  • Develop and mentor applied scientists and engineers to expand their scope and impact as part of building a world-class search team.
Minimum Qualifications
  • MS in computer science or equivalent field with 7+ years of industry experience
  • Proven track record of delivering end-user facing machine learning–driven products
  • Strong programming experience in Java, C++, or Python
  • Knowledge and experience with TensorFlow, PyTorch, or JAX
  • Excellent interpersonal and communication skills; able to work independently and in small teams
  • Attention to detail, data accuracy, and quality of output
Preferred Qualifications
  • PhD in computer science or equivalent field with 7+ years of industry experience
  • Expertise in machine learning and natural language processing, including classification, feature engineering, information extraction, clustering, semi-supervised learning, topic modeling, and ranking
  • Strong mathematical foundation in modern machine learning, linear algebra, and statistics
  • Experience with big data processing (Hadoop, Spark, Hive) is highly desirable
  • Proven expertise applying Generative AI and Large Language Models (prompt engineering, model fine-tuning) to search or NLP tasks
  • Prior experience in consumer-facing products is desirable
  • Prior team leadership experience is desirable
Compensation and Benefits

At Apple, base pay is one part of the total compensation package and is determined within a range. The base pay range for this role is between $216,200 and $324,800, depending on skills, qualifications, experience, and location. Apple employees may participate in discretionary stock programs and stock purchase plans. Benefits include comprehensive medical and dental coverage, retirement benefits, product discounts, access to various services, and reimbursement for certain educational expenses. The role may be eligible for discretionary bonuses or relocation assistance. Learn more about Apple Benefits.

Note: Apple benefits, compensation, and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

Equal Opportunity and Accessibility

Apple is an equal opportunity employer committed to inclusion and diversity. We promote equal opportunity for all applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant.

Apple believes accessibility is a fundamental human right and strives to reflect that in our culture, benefits, and digital tools. Learn about accessibility and reasonable accommodations for job applicants.

Apple accepts applications to this posting on an ongoing basis.

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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

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