Create Email Alert

Email Alert for

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.

Similar Jobs

  • Cisco

    Product Manager (AI/ML)

    San Jose, CA, United States

    Collaboration AI is the team responsible for building ML-based intelligent experiences within Cisco’s Webex portfolio of enterprise collaboration and customer engagement platforms. The team is made up of four AI acquisitions and includes technology such as Automatic speech recognition (ASR) from Voicea, Audio quality enhancement from BabbleLabs, na

    Job Source: Cisco
  • Aurora Innovation

    Staff Product Manager - ML Data Engine

    Mountain View, CA, United States

    Who We Are Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-h

    Job Source: Aurora Innovation
  • Aurora CO

    Staff Product Manager - ML Data Engine

    Mountain View, CA, United States

    • Ending Soon

    Who We Are Aurora (Nasdaq: AUR) is delivering the benefits of self-driving technology safely, quickly, and broadly to make transportation safer, increasingly accessible, and more reliable and efficient than ever before. The Aurora Driver is a self-driving system designed to operate multiple vehicle types, from freight-hauling semi-trucks to ride-h

    Job Source: Aurora CO
  • Aurora Innovation

    Staff Product Manager - ML Data Engine

    Mountain View, CA, United States

    • Ending Soon

    How did you first learn or hear about this role? Please select Are you currently authorized to work lawfully in the United States? -- Will you now, or in the future, require Aurora to sponsor you for an employment-based visa status in order to employ you (e.g. H-1B visa status)? -- Aurora Voluntary Demographic Questionnaire Individuals seeking e

    Job Source: Aurora Innovation
  • Apple Inc.

    Product Manager, Siri and AI/ML

    Cupertino, CA, United States

    • Ending Soon

    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! We believe in the power of combining product management and product marketing together - tha

    Job Source: Apple Inc.
  • Cerebras

    Principal Product Manager, ML

    Sunnyvale, CA, United States

    • Ending Soon

    Cerebras has developed a radically new chip and system to dramatically accelerate deep learning applications. Our system runs training and inference workloads orders of magnitude faster than contemporary machines, fundamentally changing the way ML researchers work and pursue AI innovation. We are innovating at every level of the stack – from chip,

    Job Source: Cerebras
  • NetApp

    Principal Product Manager AI, ML

    San Jose, CA, United States

    • Ending Soon

    About NetApp We’re forward-thinking technology people with heart. We make our own rules, drive our own opportunities, and try to approach every challenge with fresh eyes. Of course, we can’t do it alone. We know when to ask for help, collaborate with others, and partner with smart people. We embrace diversity and openness because it’s in our DNA.

    Job Source: NetApp
  • Support Revolution

    Sr. Product Manager, (AI/ML)

    San Jose, CA, United States

    Select how often (in days) to receive an alert: Create Alert Location: San Jose, California, United States About Supermicro: Supermicro is a Top Tier provider of advanced server, storage, and networking solutions for Data Center, Cloud Computing, Enterprise IT, Hadoop/ Big Data, Hyperscale, HPC and IoT/Embedded customers worldwide. We are the

    Job Source: Support Revolution

Data ML Program Manager- Product Operations

Cupertino, CA, United States

Summary

Posted: Jun 21, 2024

Weekly Hours: 40

Role Number: 200515567

Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it. Product Operations group is looking to add a Data and Machine Learning Program Manager to support data systems, automation, machine learning, tools that enhance manufacturing of Apple's products. This team is made up of creative innovators and problem solvers who tackle unique challenges to ideate, create POCs and deliver new solutions in the data space. It takes deeply dedicated, intelligent and hard-working individuals to maintain and exceed the high expectations for the exciting products at Apple. The Product Operations Data Team is looking for an extraordinary Program manager to join our team. You will craft, design and implement our machine learning strategy to the massive supply chain and help build the future of our manufacturing systems. Do you love using your creative left brain and structured, tactical right brain to drive projects to build systems, innovate with ML/analytics, and find operations efficiencies?

Description

In this role you will be responsible for planning and managing deployment of various business solutions for the Product Operations organization. We lead and participate in efforts for process standardization, ideation and development of tools, and implementation through successful completion. * Lead the ideation, prototyping, and business justification/validation of solutions for Product Ops * Work closely with engineering teams on technical development and deployment of high-quality solutions * Lead the definition and execution of scalable solutions to support core internal customer needs and to improve process efficiencies * Process re-engineering or build out enhancements * Identify inefficient process and help enable better decisions leveraging data, AI, Machine Learning or all 3 together * Prototype solutions before providing recommendations on directions. e.g. create dashboard mock-ups before investing in development effort * Program management of machine learning initiatives - scoping, prioritization, resourcing, and implementation * Comfortable and flexible in serving both supporting and leadership roles for various projects 3+ years of project management experience in highly technical field

BS Degree or MS in Computer Science, Engineering, or similar field or hands on experience in technical roles

Preferred Qualifications

MBA is considered a plus

Knowledge of emerging concepts like machine learning and predictive analytics (Deep Learning, Python, R, Neural Networks, applied Data Science) a strong plus

Strong Excel skills, including pivots, vlookups, conditional formatting, large record sets

Familiarity with databases, large data sets, reporting Tableau and SQL a plus.

International travel up to 25% and work hour flexibility required in this dynamic, global position.

Able to work independently when managing multiple priorities in an unstructured, global and virtual environment is essential.

Highly desirable to have high tech manufacturing, Supply Chain Management, NPI or Manufacturing Operations related education / experience

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 $119,900 and $181,000, 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.

More

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. Learn more about your EEO rights as an applicant.

#J-18808-Ljbffr

Apply

Create Email Alert

Create Email Alert

Email Alert for Data ML Program Manager- Product Operations jobs in Cupertino, CA, United States

ⓘ There was an unexpected error processing your request.

Please refresh the page and try again.

If the problem persists, please contact us with your issue.

Email address is already registered

You can always manage your preferences and update your interests to ensure you receive the most relevant opportunities.

Would you like to [visit your alert settings] now?

Success! You're now signed up for Job Alerts

Get ready to discover your next great opportunity.