414 jobs for "Machine Learning Engineering Manager"

The Siri team is looking for an Engineering Program Manager, with a focus on Siri's runtime platform and the next revolution of Siri interaction across the Apple ecosystem.

As part of our 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 Apple platforms.

Description

In this role, you will drive cross-functional programs and feature areas in Siri across Apple products. You will partner with engineering teams to lead projects through the software development lifecycle from concept to delivery. You'll collaborate with software engineers, machine learning engineers, and scientists across technical areas spanning the full range of Siri's capabilities. You should bring experience in software development, machine learning, and project management, strong communication and leadership skills, and a track record of effectively driving and delivering complex projects. You should demonstrate high integrity and feel comfortable in a dynamic environment.

As an experienced project leader for various complex and highly ambiguous technical projects, you will need to build strong collaborative relationships within the organization, as well as cross-functionally, and confidently and calmly manage any conflicts and challenges along the way. You will be responsible for driving execution, with a keen eye for important details, and communicating status and risks clearly.

Preferred Qualifications

Familiarity or prior experience in artificial intelligence and machine learning.

Prior hands-on experience in software development or model development.

Curiosity and passion for new technologies and proven ability to quickly understand technical concepts.

Ability to thrive in a fast-paced, dynamic environment.

Minimum Qualifications

4+ years of project management experience in software development or machine learning, or related industry.

Proven knowledge of software engineering standard methodologies and related dependencies, with experience navigating ambiguity, distinguishing urgent from important and defending tradeoffs.

Outstanding communication and experience in successfully presenting to engineers, managers, and senior level executives.

Experience driving and effectively delivering critical project features that involve integration with multiple different teams.

BS in Computer Science or related field, preferred.

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 $175,500 and $263,800, 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: Manufacturing

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