36,419 jobs for "Technology Architect-Python / Gen AI"

Join the team redefining what a deeply personal and integrated assistant can be.

As part of the Siri organization, you will help shape one of the world's most widely used AI assistants, powered by our next-generation of Apple Intelligence, with capabilities like personal context understanding and on-screen awareness, built with privacy from the ground up. Your work will have direct, meaningful impact for users across iOS, iPadOS, macOS, watchOS, and visionOS.

This is a rare opportunity to build at the intersection of cutting-edge AI and human-centered design, shipping technology that is centered around users and their needs.

Description

This position offers an opportunity to shape the voice landscape of Apple Intelligence features at this critical moment in the AI field. The ideal candidate will combine an intuitive understanding of cutting-edge machine learning capabilities with an eye for when a human touch is required to create something truly exceptional. Delivering products that adhere to responsible AI and safety standards is a key part of the team's mission and you'll help to drive and champion this critical work with cross-functional partners.

As a manager, your team's success is your number one priority. You'll be responsible for cultivating a high-performing team that balances technical innovation with creative excellence. This means setting clear vision and strategy, removing obstacles that prevent your team from doing their best work, and fostering an environment where both rigorous engineering and artistic craftsmanship can thrive. You'll guide technical decisions while empowering your team to take ownership, and you'll be the bridge between your team's groundbreaking work and broader organizational goals.

Preferred Qualifications

Bachelors degree in Computer Science, Artificial Intelligence/Machine Learning, Natural Language Processing, Software Engineering or equivalent

Experience working with voice talent recordings and/or other types of speech data

Experience building text-to-speech models

Fluent in another language or dialect

Minimum Qualifications

2+ years experience leading a software or machine-learning team in the speech technology space

7+ years in a hands-on machine learning role with demonstrable product impact

Experience taking responsibility and ownership of features and the product roadmap

Excellent interpersonal skills and experience working with people from a wide variety of backgrounds (engineers, designers, researchers, etc.)

Committed to encouraging an open and inclusive work environment

Demonstrated ability to communicate effectively, collaborate, and build long-term relationships across the organization

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 $206,200 and $310,000, 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.

About Apple

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

Size: 10,000+ employees
Industry: Technology

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