AIML - Sr Machine Learning Manager, Siri Understanding

Posted: 24 Apr 2024

Role Number:200536966

We are looking to hire a senior machine learning manager with a proven record in leading multiple teams of Machine Learning and Software Engineers and strong technical skills. Your highly talented teams will be involved in developing the next generation of Siri. We use world-class tools and software engineering practices and push the boundaries of artificial intelligence with a single aim: to make a real difference in the lives of hundreds of millions of Siri users.

Key Qualifications

10+ years of professional machine learning engineering experience
5+ years leading teams that design and deliver complex software engineering and groundbreaking research projects
Experience leading cross-functional initiatives with a tangible impact on the direction of product
Strong organizational skills and experience working with large, diverse teams
Strong in Computer Science and Machine Learning fundamentals, engineering principles, and development methodologies
Excellent problem-solving, critical thinking, and communication skills
Provide technical leadership/take accountability for engineering quality
Drive definition and adoption of engineering standard methodologies
Drive innovation in production-grade systems
Proven leader who’s continued to build teams that ship from the ground up, including positioning them well to continue to ship iteratively post-launch

Description

Siri’s Conversation Intelligence team is seeking a senior machine learning manager to develop Siri’s next generation of natural interactions on Apple’s innovative devices. Our team builds a suite of AI-driven systems responsible for learning and understanding who the user is and what the user wants, learning from their feedback, and responding appropriately. This role requires someone with deep experience developing, launching, maintaining, and extending products. The role requires experience developing technical strategy and successfully delivering tactical engineering projects to realize that strategy over time. The candidate must have a proven track record of building strong, cohesive teams from initial hires to shipping multiple products.

Education & Experience

MS or PhD in Computer Science (or equivalent experience).

Additional Requirements

• Grow and manage highly talented teams of ML engineers, researchers, and managers.
• Collaborate with cross-functional teams to capture requirements, design workflows, understand dependencies, define architecture, and implement and support solutions to major areas of the Conversation Platform.
• Work with design and product leadership to advance the Conversation Platform in support of long-term product goals.

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 $230,500.00 and $346,300.00, 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.