Apple

GenAI Platform Engineer, Applied Machine Learning

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Sunnyvale, California, United States

2d ago

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Job Description

Description

This role will be responsible for defining and developing ML Platform and frameworks for generative AI powered applications. You will collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers, data scientists, application developers and product managers. Our ML Platform allows multi-functional teams to build diverse, business critical ML apps leveraging LLMs. This role will also work closely with product and program teams to ensure platform features are developed in lockstep with products roadmap and business user feedbacks. This is a fast-paced role with high visibility, impact, and influence in delivering one of the industry's most advanced generative AI systems.

Minimum Qualifications

2+ years of industry experience designing, building, and supporting machine learning platforms, services and frameworks.
Strong proficiency in embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
Familiarity with embedding, retrieval algorithms, agents, data modeling for vector development graphs.
BS in computer science or related technical degree
Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
Solid understanding of concurrency and multi-threading, multiple design patterns and debugging and analytical methodologies.
Experience with LLM and other related frameworks like Langchain, LLamaIndex
Experience with relevant programming languages, such as Java, Python or Go.

Preferred Qualifications

7+ years of industry experience designing, building, and supporting machine learning platforms, services and frameworks.
Ability to apply your LLM knowledge with a product-oriented focus.
Excellent problem-solving skills and the ability to work in a collaborative team environment.
Strong communication skills, and ability to distill technically complex concepts and data for an intelligent but non-ML audience.
Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues.

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 $175,800 and $312,200, 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 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.

Apply Now

Apple

GenAI Platform Engineer, Applied Machine Learning

Sunnyvale, California, United States

Job Description

Description

Minimum Qualifications

Key Qualifications

Preferred Qualifications

Education & Experience

Additional Requirements

Pay & Benefits

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