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Senior Machine Learning Engineer (Remote-Eligible)

SummaryPosted: Nov 19, 2024Role Number:200579268Imagine 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. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple product & experiences!DescriptionDescriptionThe Video Engineering organization is working on exciting technologies for current, such as the Apple Vision Pro, and future Apple products. We are looking for highly skilled and passionate engineers to address challenging problems at the boundary of human perception and machine intelligence. In this role, you will collaborate closely with experts from a wide range of backgrounds whose creativity and passion has already led to the development of groundbreaking algorithms and whose ongoing designs and explorations will shape the future of mixed reality redefining the way we interact with the physical and digital world.You will create 3D computer vision algorithms to deliver technological experiences that are impactful, meaningful, and influential. We work closely with Apple’s best-in-class designers to ensure the products we ship are more than technical demos – they resonate with users at a personal level. In this role you will be working on a wide range of responsibilities: core technology algorithm development in support of future user experiences; communicating with and supporting external teams that use our algorithms; supporting low-level, cross-platform efforts; participating in code reviews; and being a constant advocate within the team for high quality results.Minimum QualificationsMinimum Qualifications• BS and a minimum of 3 years relevant industry experience.• Strong programming and system building skillsKey QualificationsKey QualificationsPreferred QualificationsPreferred Qualifications• PhD in physics, engineering, computer science or machine learning.• Solid foundation in computer vision, and in particular 3D geometric computer vision and/or activity detection and recognition.• Excellent background in math and machine learning and experience on turning concepts into state of the art systems able to deal with the complexity of the real world.• Comparable industry experience delivering products that use state-of-the-art computer vision/machine learning techniques.Education & ExperienceEducation & ExperienceAdditional RequirementsAdditional RequirementsPay & BenefitsPay & 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 $143,100 and $264,200, 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.
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What You Should Know About Senior Machine Learning Engineer (Remote-Eligible), Capital One

Are you ready to take on the challenge as a Senior Machine Learning Engineer at Apple? Located in Wyckoff, NJ, with the flexibility of remote work, this role puts you in the heart of innovation. You'll be part of the Video Engineering organization, where passionate and dedicated individuals collaborate to develop cutting-edge technologies for products like Apple Vision Pro. If you're excited about the intersection of human perception and machine intelligence, this position is for you! As a Senior Machine Learning Engineer, you'll dive into 3D computer vision algorithms that aim to create meaningful experiences for users. Imagine working closely with some of the brightest minds, discussing groundbreaking algorithms, and participating in code reviews to ensure the highest quality results. You'll also have the chance to support external teams that leverage your algorithms, making your contributions felt far and wide. This position requires a solid foundation in computer vision, especially in 3D geometric computer vision and experience in activity detection and recognition. If you're an innovator at heart, and you're looking to bring your PhD or top-tier industry experience to Apple's dynamic environment, you could help shape the future of mixed reality and redefine user interaction with technology. Join us in making extraordinary products that leave a lasting impact on the world!

Frequently Asked Questions (FAQs) for Senior Machine Learning Engineer (Remote-Eligible) Role at Capital One
What are the responsibilities of a Senior Machine Learning Engineer at Apple?

As a Senior Machine Learning Engineer at Apple, you will engage in core technology algorithm development, focusing on 3D computer vision to create impactful user experiences. You'll work closely with experts to develop algorithms, support external teams, and ensure high-quality results through active participation in code reviews.

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What qualifications are needed to become a Senior Machine Learning Engineer at Apple?

To qualify as a Senior Machine Learning Engineer at Apple, applicants typically need at least a BS along with three years of relevant industry experience. Preferred qualifications include a PhD in a related field and expertise in computer vision, specifically with 3D geometric computer vision.

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What kind of projects will I work on as a Senior Machine Learning Engineer at Apple?

You will work on a variety of innovative projects that leverage 3D computer vision algorithms. Collaborating with designers and engineers, you will help create experiences that not only showcase the power of technology but also resonate personally with users.

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Is a remote working option available for the Senior Machine Learning Engineer position at Apple?

Yes, the Senior Machine Learning Engineer position at Apple is remote-eligible, offering flexibility while allowing you to contribute to groundbreaking projects from anywhere, including Wyckoff, NJ.

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What benefits does Apple offer to Senior Machine Learning Engineers?

Apple provides a competitive compensation package for Senior Machine Learning Engineers, which includes comprehensive medical and dental coverage, retirement benefits, stock programs, and reimbursements for education. The base pay for this position ranges from $143,100 to $264,200.

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Common Interview Questions for Senior Machine Learning Engineer (Remote-Eligible)
Can you describe your experience with 3D geometric computer vision?

In responding to this question, focus on specific projects you've completed that utilized 3D geometric computer vision. Highlight any algorithms or systems you've developed, along with the challenges you faced and how you overcame them.

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How do you ensure the quality of your algorithms in a collaborative team environment?

Explain your approach to code reviews and communicating effectively with team members. Emphasize the importance of collaboration and how you advocate for best practices and quality assurance in your work.

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What machine learning frameworks and tools are you most comfortable using?

List the frameworks and tools you have experience with, such as TensorFlow, PyTorch, or others. Mention any projects where these tools played a significant role in your success and how they contribute to your job as a Senior Machine Learning Engineer.

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Can you explain a complex machine learning concept in simple terms?

Choose a concept related to machine learning, such as overfitting or transfer learning, and articulate it clearly and succinctly. This demonstrates your understanding and your ability to communicate complex ideas effectively.

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What strategies do you use for debugging algorithms?

Share specific strategies you employ for debugging, such as using logging, unit tests, or reproducible examples. Highlight the importance of systematically identifying issues while maintaining production code quality.

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Describe a time when you successfully turned a concept into a real-world product.

Discuss a particular project where you led the development from concept to a deployable product. Explain the steps you took and how your work impacted user experience or product effectiveness.

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How do you keep up-to-date with the latest developments in machine learning and computer vision?

Talk about specific resources you rely on, such as journals, conferences, or online courses. Mention any communities or networks you are part of that help you stay informed about industry advancements.

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What role do you believe interdisciplinary collaboration plays in AI projects?

Discuss your belief in the value of diverse skill sets working together, particularly how interdisciplinary collaboration fosters innovation and addresses complex problems in AI and machine learning projects.

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Can you provide an example of a challenge you faced in a previous machine learning project?

Share a detailed example of a specific challenge, how you approached it, and the outcome. This shows your problem-solving skills and ability to learn from experiences.

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Where do you see the future of machine learning headed?

Provide a thoughtful perspective on emerging trends in machine learning, particularly in relation to user experience and technology integration. Discuss how you might like to contribute to this future.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran

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Full-time, remote
DATE POSTED
December 4, 2024

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