Machine Learning Engineer - Applied Reasoning and Knowledge

Machine Learning Engineer - Applied Reasoning and Knowledge

Cupertino,California,United States

Software and Services

We're looking for machine learning specialists to help shape the future of AI-driven system experiences across the Apple ecosystem. You'll be joining a dynamic team that will develop novel ML techniques and applications, build ergonomic tools and infrastructure, rapidly iterate on prototypes, and deliver new product experiences. This is an exciting time to join and have impact across Apple's entire product portfolio. If you're a curious creator in the field of machine learning, we'd love to talk to you.

Description

Our team is seeking adept machine learning engineers who are both excited by creating machine learning driven user experiences and experienced in rapid prototyping using artificial intelligence. Work includes designing high-performance machine learning models and infrastructure in concert with designers, software/hardware engineers, and applied R&D teams. You will be responsible for full stack ML development in partnership with others on the team. This includes data generation and curation, creating and influencing ML tooling and infrastructure, driving evaluation efforts, training models, and local, on-device model inference. The team values rapid iteration, based on bringing models into reality so stakeholders can play with cutting edge technology and research. To this end you will be engaged with hardware, software, and design teams across Apple; both representing the technology and implementing it into prototypes. You will be successful on our team if you have a relentless curiosity and persistence to drive towards prototypes and novel implementations of ML as a group.

Minimum Qualifications

• Experience grappling with various types of models in product, prototyping, or research; and working on advancing the state of the art of machine learning.

• Strong understanding in ML, deep learning, natural language understanding, distributed systems, reliability, and cloud services.

• Creative and curious about how we should shape AI into product experiences

• MS in Computer Science or related experience

Key Qualifications

Preferred Qualifications

• Ability to influence modeling architecture and go beyond implementing papers in product

• Comfortable with pushing and framing novel research directions to product oriented leadership

• Experience rapidly prototyping applied AI

Education & Experience

Additional Requirements

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 $264,200, 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. (~~~)

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