AIML - Machine Learning Manager, Siri Understanding

Key Skills

Aartificial intelligence, Agile methodologies, Design, Effective communication skills, Leadership Skill, Machine learning techniques

Job Description

We are looking to hire a Machine Learning Manager with a proven record in leading multiple teams of software engineers and strong technical skills. Your highly talented teams of engineers work alongside leading machine learning scientists to develop 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: make a real difference to the lives of hundreds of millions of Siri users.

Key Qualifications

• 10+ years of professional machine learning engineering experience
• 5+ years managing teams that design and deliver complex software engineering 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
• 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 looking for a Sr 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 that are 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 in both developing technical strategy as well as 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 a highly talented team 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 $210,900 and $364,100, 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.