Senior Applied Scientist (ML)
Job Description
SummaryPosted: Jan 23, 2024
Weekly Hours: 40
Role Number:200507719
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The Product Operations machine learning team is seeking a Senior Applied Scientist to conduct computer vision research in continual learning, domain generalization, data efficiency, knowledge distillation, and similar topics to address domain-specific challenges in manufacturing. Research scientists on our team drive projects from ideation to validation, with the goal of improving our core manufacturing ML capabilities. Senior scientists translate successful approaches to production code, and train MLEs to apply them to factory use cases..
Key Qualifications
- 5+ years of hands-on industry experience with strong ML fundamentals
- Expertise in independently designing and implementing ML experiments - establishing appropriate metrics, benchmarks, milestones, and communicating results to stakeholders with varying levels of technical background
- Track record of successful CV research and interest in continual learning, domain generalization, data efficiency, knowledge distillation, etc.
- Excellent communication and presentation skills
- Demonstrable collaborative software development skills, including design review and code review
- Experience mentoring students or junior researchers is a plus
Description
The Apple Operations team ensures that ground breaking designs become industry-leading products. In this role you will join a small team at the heart of our manufacturing ML capabilities. Our R&D team is responsible for the core ML libraries that engineers use to train models for factory deployment. We improve core capabilities through applied research, with partners in academia and across Apple's research org. As a Senior Applied Scientist in computer vision, your responsibility will be to drive your research from ideation to impact. You will work closely with manufacturing machine learning engineers around the world to understand the challenges and opportunities in the field. You'll leverage your research experience to propose and execute on promising approaches. You will have the opportunity to collaborate with internal and academic research partners, mentor students, publish your work, and contribute to our org's comprehensive research strategy. On our team, we integrate successful research into robust pipelines that our partner teams leverage when training models. Exceptional candidates will demonstrate collaborative code practices, the ability to write and review production-quality code, and interest in training MLEs to apply novel approaches in the field. Successful applicants are self-motivated, experienced researchers, who are quick to build relationships and want to do impactful applied research in computer vision.
Education & Experience
Bachelors or Masters in Computer Science, Machine Learning, or higher level degree PhD preferred
Additional Requirements
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 $161,700.00 and $243,300.00, 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.
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