Summary
Posted: Mar 21, 2025
Weekly Hours: 40
Role Number:200583318
Do you get excited by building ML/AI applications to enhance the evaluation of Apple AI products? The vision for the Data and Machine Learning Innovation organization is to advance machine learning and Artificial Intelligence across Apple to enrich lives. Within this organization, the Evaluation & Data Insights team is dedicated to guiding product development, decisions and strategies through principled evaluation and rigorous analysis. You will partner with various engineering teams in Apple to elevate Apple product quality and inform feature development, ensuring amazing user experiences across iPhone, iPad, HomePod, Mac, Watch, tv, across dozens of languages. If you thrive in a dynamic environment, enjoy exploring cutting-edge AI techniques, and are passionate about improving Apple product quality, we'd love to hear from you!
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Description
We are looking for a skilled ML Engineer to build innovative and scalable evaluation systems for Apple's products. This role will use the software engineering skills and various ML/AI techniques to improve the effectiveness and efficiency of our evaluation system. Key responsibilities include: * Develop tools to improve human-in-the-loop evaluation processes. * Develop automatic evaluation systems that systematically assess model performance and detect areas of weakness. * Automate data scientists' performance analysis workflows to enhance the efficiency and accuracy. * Stay at the forefront of ML and GenAI advancements, quickly adopting and applying the latest techniques to improve evaluation methodologies.
Minimum Qualifications
- Experience in developing and deploying ML/GenAI applications on cloud or premise.Strong programming skills in Python; Proficient in building scalable API solutions, developing data pipelines, and working with AWS cloud infrastructure.
- Strong communication skill; Proficiency in critical thinking, problem-solving, and collaboration with cross-functional teams to address business needs.
- B.S. in Machine Learning, Computer Science, Statistics, Operations Research or related areas.
Preferred Qualifications
- Staying on top of emerging trends in generative modeling; able to adopt new techniques and tools very quickly.
- Industrial experience in developing product evaluation system is a plus.
- Hands-on experience in building database or web applications is a plus.
- Ph.D. in Machine Learning, Computer Science, Statistics, operations Research or related areas.
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 $135,400 and $250,600, 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.
More
- Apple is an equal opportunity employer that is committed to inclusion and diversity. We take affirmative action to ensure 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.