Summary
Posted: Aug 20, 2024
Weekly Hours: 40
Role Number: 200561512
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. The Product Operations team is looking for an extraordinary engineer to join our team. You will help design and implement our machine learning strategy to the substantial supply chain and help build the future of our manufacturing systems and smarter factories. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data.
Description
Product Operations partners with a variety of different engineering and operations teams, our team leads development of machine learning solutions. We deliver projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment! You will also perform ad-hoc statistical analyses. You will also work closely with data engineers to generate detailed business intelligence solutions. You will be expected to conduct presentations of analyses to a wide range of audiences including executives.
- 3+ years experience in machine learning algorithms, statistics, and data mining models with an emphasis on large language models.
- Masters in Computer Science, Statistics, Operations Research, Physics, Mechanical Engineering, Electrical Engineering or related field.
Preferred Qualifications
- Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations.
- Strong software development skills with proficiency in Python. Experienced user of ML and data science libraries.
- Experience working with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, SQL/NoSQL is a plus.
- Ability to meaningfully present results of analyses in a clear and impactful manner. Able to break down sophisticated machine learning model knowledges to digestible information for non-technical audience.
- Proven experience in managing and mentoring teams is a plus.
- Experience in applying ML techniques in manufacturing and testing space is a major plus.
- Proven experience with transformer models such as BERT, GPT, RoBERTa, etc., and a solid understanding of their underlying principles is a plus.
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 $143,100 and $214,500, 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.
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