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Machine Learning and Generative AI Manager - SIML, ISE

Apple

Software Engineering, Data Science

Cupertino, CA, USA

Posted on Jul 25, 2024

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Summary

Posted: Jul 24, 2024

Weekly Hours: 40

Role Number:200557688

Are you interested in leading a team to build products that utilize machine learning, generative AI, and computer vision technologies? Are you looking to produce highly-visible features and magical user experiences? We are the Core Recognition group that is responsible for building best-in-class technologies that fuel innovation and user experiences across all Apple Platforms. We are an R&D team that pushes the limit of hardware and software to produce foundational machine learning technologies that enable amazing features like Math Notes, Smart Script, Scribble, and Live Text. We are seeking an outstanding machine learning manager to help provide engineering expertise and innovative thought leadership, as we develop our next generation of recognition solutions that will enrich the everyday lives of millions of people.

Description

As a manager within the Core Recognition group, you will lead a growing team to innovate and deliver high-impact features through the design and development of platform-wide experiences and core technologies, including handwriting and text recognition, handwriting synthesis, and document understanding. This role will have the following responsibilities: - Drive experience and product improvements for interactive text and handwriting solutions for Scribble and Live Text users. - Manage, mentor, and grow expert teams of software engineers. - Architect and advance the development of document understanding and generative products and features. - Drive technical and multi-functional projects and provide leadership in an innovative and fast-paced environment

Minimum Qualifications

A track record of running high-performance teams and demonstrated skills in managing complex engineering and cross-functional projects
Proven technical leadership in the development of user-facing generative models or model-driven recognition systems.
Strong interpersonal and communication skills including ability to work in a self-directed environment and ability to present to senior management
Ability to work collaboratively with engineers across organizations and time zones

Key Qualifications

Preferred Qualifications

Experience productizing text or handwriting recognition solutions
Experience prototyping or productizing generative systems
Development experience with CoreML, Torch, TensorFlow, or related technologies
Familiarity with iOS, macOS, or Unix development
Familiarity with performance analysis tools and system optimization
Track record of delivering user-facing products

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 $190,700 and $286,600, 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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