Senior Machine Learning Engineer - News, Books, and Stocks Team

Applicantat Apple
Cambridge, UK
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
2 years minimum
Compensation
£165,800.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Computer Programming Python (Programming Language) Machine Learning Named Entity Recognition Recommender Systems Tensorflow Pytorch Large Language Models Deep Learning Information Technology
+1 more
Document Classification

Job description

learning to tackle difficult and complicated problems in the news, books, and stocks domains, including text extraction, named entity recognition, duplicate detection, search, ranking, and much more! As a member of our dynamic group, you’ll have the rare and rewarding opportunity to craft upcoming products that will delight and encourage millions of Apple’s customers every day!ResponsibilitiesDesign and implement state-of-the-art AI/ML that processes news, stocks, and books data to drive recommendations, power advanced search, and enable next-generation AI features.Develop datasets, design model architecture, and prompt, train, or fine-tune models.Partner with cross-functional teams at the intersection of technology and liberal arts to design and implement end-to-end AI/ML features.Drive application features from concept, model design, and development all the way to delivery.Join a thriving machine learning community at Apple.Minimum, QualificationsMS in Machine Learning, Computer Science

Requirements

or related field. Alternatively, equivalent industry experience to an MS degree, is acceptable.At least 2 years of experience shipping machine learning models in products.Strong programming skills in Python, Java, or a related language, and one of the deep learning toolkits such as PyTorch, TensorFlow, or similar.Ability to communicate effectively and collaborate with partner teams.Commitment to encouraging an open and inclusive work environment.Preferred QualificationsPh.D. in Machine Learning, Computer Science, or related field.At least 5 years of experience shipping machine learning models in products.Experience with recommender systems.Experience with text-centric AI/ML (LLMs, document classification, search, etc.)Experience delivering high quality software at scale.Experience designing user-facing machine learning features with interdisciplinary partners.At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the

Benefits & conditions

opportunity to progress as you grow and develop within a role. The base pay range for this role is between $165,800 and $249,500, 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 BenefitsNote: 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 applicantAt Apple, we believe accessibility is a fundamental human right. You’ll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.Learn about accessibility in Apple’s workplaceLearn about reasonable accommodations for job applicantsApple accepts applications to this posting on an ongoing basis. #J-18808-Ljbffr

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