AI Engineering Manager - GenAI Platform , Infra & AIOps
Imagine what you could do here. At Apple, great ideas have a way of becoming outstanding products, services and customer experiences very quickly. We believe that if you bring passion and dedication to your job, there's no telling what you could accomplish! Every new product, service, or feature we invent is the result of people working together to make each other's ideas stronger. That happens here because every one of us strives toward a common goal - crafting the best customer experiences.
Description
We are looking for a highly skilled and experienced AI Engineering Manager to lead the planning and execution for our next generation AIML Platforms, Infrastructure and AIOps for Channel Sales at scale from 0-1n. In this role, you will be at the forefront of shaping the future of this transformative technology, drive the vision, roadmap, and execution of innovative AI solutions that leverage generative models to create captivating user experiences across our product lines.
You will collaborate with cross-functional teams of business SMEs, engineers, data scientists, designers, and researchers to develop breakthrough products that push the boundaries of AI and deliver real value to our internal and external users.","responsibilities":"Lead and mentor a global team of Machine Learning Engineers, providing guidance, support and professional development opportunities
Foster a culture of collaboration, innovation and continuous learning within the team to break glass ceilings
Build streamlined processes, onboard new tools, effective resource planning to enable team members to do their best work
Proactively identify issues, manage risks, identify mitigations, marshal resources, and re-plan as needed
Stay abreast of the latest advancements in the field and identify relevant technologies for implementation
Collaborate effectively with Machine Learning and Software Development Engineers to see around the corner and build future proof products
Set clear engineering goals and priorities for the Channel Sales AIML Platform, Infra and AIOps to ensure scalability and reliability
Create compelling product documentation and presentations for internal and external stakeholders
Identify and resolve conflicts, inter-dependencies, and alignment issues quickly and effectively
Build relationships and collaboration opportunities within Channel Sales and with other orgs i.e AIML, SWE etc
Define key performance indicators (KPIs) and metrics to measure performance of AI Powered products
Monitor and analyze performance data, providing key insights and recommendations for continuous improvement
Advocate for data-driven decision making across the organization
Preferred Qualifications
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Experience building new relationships and driving cross-functional collaboration, with ability to influence without authority
Experience setting up new process, tools and KPIs from the ground up
Analytical and strategic mindset with ability to solve complex problems
Team player and willingness to mentor team members
Minimum Qualifications
10+ years of experience in Machine Learning and Software Engineering with successful launch of large scale consumer facing Commerce products worldwide
5+ years leading Machine Learning, Infra and AIOps teams and managing direct reports
Successful track record of working closely with design and engineering teams during the full GenAI/LLM product lifecycle, including research, planning, implementation and launch
Experience positioning and launching of new AI powered products
Extraordinary verbal and written communication skills
Ability to filter and distill relevant information for the right audience
Demonstrated ability to develop compelling talking points and stories about new AI powered product and technologies for a broad audience including internal/external stakeholders, leaderships, users etc
Strong experience leading cross-functional initiatives with a clear impact on the direction of products
Strong organizational skills, able to handle ambiguity with experience in thriving in a startup environment within a large organization
Strong python and software development coding experience
Proven customer focus and curiosity
Demonstrates attention to detail and enjoys both hands-on work and high-level strategic thinking
Master's degree in Computer Science, AI, Machine Learning or a related technical field
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote 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 .
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 $228,100 and $342,800, 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.
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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