Senior AI and Machine Learning Engineer, Maps Services Evaluation

Apple

Cupertino, USonsite$185k-$325k/yrPosted Jul 20, 2026
Posting intelligenceActively listedReposted 3×, possible evergreen/ghost posting

Skills

jupyterpythonjavanaturallanguageprocessingml

About the role

The Maps Evaluation team is looking for a senior AI/ML engineer to help develop the next generation of Maps Evaluation techniques and tools, to evaluate Maps ML-based systems and features. The engineering position is a role suited for candidates who enjoy approaching a variety of problems with small teams to make an outsized impact on Apple products. The ideal candidate will have experience building and evaluating AI agentic system, search and recommendation systems, NLP systems, and/or GenAI features.

Description

As an AI/ML engineer on the Maps Evaluation team, you have the opportunity to build AI-based techniques and tools to bring the quality of Maps ML-based systems to the next level. You will also be deeply involved in evaluating the GenAI based Maps features. You will work closely with PMs, machine learning engineers and scientists, developers, statisticians and other evaluation engineers to improve a core product that touches millions of users worldwide every single day.

Preferred Qualifications

PhD degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields, with good publication record

Experience in building and evaluating GenAI-based products or features

Proficiency of using analytical tools (e.g.: Jupyter Notebook) for data analysis and visualization

Minimum Qualifications

7+ years of software development experience with at least one major language such as Java or Python

7+ years of experience in designing and evaluating search, recommendation systems, or relevant systems

7+ years of hands-on experience in training ML models for production

Master’s degree in Machine Learning, Computer Science, Electrical/Computer Engineering, or related fields.

Proven record of influencing and partnering with PMs, Software Developers and Machine Learning engineers/scientists

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 $184,700 and $324,800, 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.

Compensation

This Machine Learning Engineer role pays $185k-$325k/yr. Within typical range for machine learning engineer roles in United States.

Questions about this role

Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

Compensation for Machine Learning Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Machine Learning Engineer hub for United States medians across recent openings.

Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, Personio, Teamtailor and other major ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.