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AI Evaluation Engineer, Siri Core Modeling

Job in Cupertino, Santa Clara County, California, 95014, USA
Listing for: Apple Inc.
Full Time position
Listed on 2026-02-24
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 181100 - 318400 USD Yearly USD 181100.00 318400.00 YEAR
Job Description & How to Apply Below

AI Evaluation Engineer, Siri Core Modeling

Cupertino, California, United States

Machine Learning and AI

We are seeking talented engineers to join our team and push the boundaries of evaluations for Siri AI Agents. Evaluation lies at the heart of our model development strategy—it shapes architectural choices, guides launch decisions, and ultimately ensures a world‑class user experience. Our team is highly innovative and fast‑moving, leveraging auto‑evaluators and LLM‑based judges to measure, validate, and continuously improve the core Siri AI engine.

If you’re excited by the challenge of building trusted evaluation systems that directly impact the quality of a groundbreaking AI product used by millions worldwide, this role is for you.

Description
  • Design, build, and maintain auto‑evaluators that measure the quality of Siri’s core AI engine.
  • Identify and triage issues and implement changes to improve auto‑evaluator trustworthiness.
  • Work with both simulators and real devices to ensure high‑fidelity evaluation and a superior user experience.
  • Collaborate with scientists and engineers across software and ML teams, contributing to products shipped across our portfolio of devices.
Minimum Qualifications
  • M.S. degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
  • Strong skills in data analysis and statistical methods utilized in a problem‑solving environment.
  • Passion for debugging, testing, and triaging issues in complex AI + software systems.
  • Proficiency in Python and experience developing production‑quality code.
  • Understanding of large language models (LLMs) and awareness of their strengths and limitations.
Preferred Qualifications
  • Experience with large‑scale ML model evaluation, testing pipelines, and triage.
  • Knowledge of data generation, training workflows, or context engineering.
  • Familiarity with real‑world deployment challenges for AI/ML products.
  • Knowledge of latest methodologies in LLM evaluations.

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 $181,100 and $318,400, 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.

Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to 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 accepts applications to this posting on an ongoing basis.

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