Urgent! AIML - Sr. Machine Learning Engineer, World Knowledge Job Opening In Cupertino – Now Hiring Apple
**Weekly Hours:** 40
**Role Number:** 200625680-0836
**Summary**
Are you excited about Generative AI and Large Language Models and eager to apply your expertise in a fast-paced, innovative environment?
Join a newly created team in AIML focused on building world-class experiences to bring Apple's deep expertise in world knowledge to life.
Our team's mission is to foster curiosity and exploration, facilitate learning, and enhance decision-making through innovative products that leverage machine learning at their core.
We are seeking a highly motivated, exceptional senior applied research engineer with experience in bringing the latest research to life in stunning, visually immersive products.
You'll advance and apply the latest ML techniques to craft a meaningful experience for millions of users worldwide through both rapid prototyping and experimentation — then bring the best of those experiences to users around the world.
**Description**
We are seeking a candidate with a strong background in applied ML research and development, as well as a passion for building products, to join our team.
We are looking for applied ML researchers who can develop end-to-end solutions, from data scaling to model implementation and training, while collaborating with multidisciplinary engineering teams to bring research to production.
To succeed in this role, you should have proven leadership ability in navigating ambiguity, be an excellent communicator, and be a creative problem solver who enjoys learning, experimenting with new ideas, and improving processes, and will learn whatever you need to get the job done.
You should also thrive as a team player in a fast-paced environment.
**Minimum Qualifications**
+ BSc in Computer Science, Machine Learning, or related field
+ 10+ years proven experience leading ML/AI initiatives and teams in a fast-paced environment
+ Technical expertise in machine learning, particularly in generative AI, traditional ML, and knowledge graphs
+ Experience managing rapid prototyping and proof-of-concept development in ML/AI (particularly GenAI)
+ Proficiency in modern ML frameworks and tools (e.g., PyTorch, TensorFlow)
+ Experience leading cross-functional technical teams
**Preferred Qualifications**
+ Master's degree or Ph.D. in Computer Science, Machine Learning, or related field
+ Strong understanding of ML operations, including model development, evaluation, and deployment
+ Outstanding project and program management capabilities
+ Track record of building strong partnerships with business collaborators
+ Exceptional communication skills with ability to translate complex ML concepts for various audiences
+ Results-driven with excellent analytical and problem-solving abilities
+ Experience with large-scale ML deployments in customer service environments
+ Deep understanding of responsible AI practices and model governance frameworks
**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 $212,000 and $386,300, 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.
(https://www.apple.com/careers/us/benefits.html)
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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf) .
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Unlock Your AIML Sr Potential: Insight & Career Growth Guide
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Great news! Apple is currently hiring and seeking a AIML Sr. Machine Learning Engineer, World Knowledge to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Apple adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a AIML Sr. Machine Learning Engineer, World Knowledge Jobs United States varies, but the pay scale is rated "Standard" in Cupertino. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
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Before the Interview:To prepare for your AIML Sr. Machine Learning Engineer, World Knowledge interview at Apple, research the company, understand the job requirements, and practice common interview questions.
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