AIML - Machine Learning Researcher, MLR

Apple Inc.; Cambridge (MA); On-site; USD 135,000 - 203,000; Full time

Job summary

Apple Cambridge is seeking mid-level and senior researchers to work on ambitious curiosity-driven long-term ML research projects that will shape the future of Apple products. You will publish your results and collaborate with world-class ML engineers to push the boundaries of AI and share findings in top venues.

You will contribute to research plans, implement experiments, and communicate results while collaborating across Apple teams.

Qualifications

• Demonstrated expertise in machine learning research.
• Publication record in NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc.
• Hands-on experience with PyTorch.
• Strong mathematical skills in linear algebra and statistics.
• PhD, or equivalent practical experience, in Computer Science, or related technical field.

Responsibilities

• Push the boundaries of machine learning research and publish results in top venues.
• Propose research plans and execute them through implementation and experimentation.
• Provide technical guidance and prepare reports for publication and conference talks.
• Collaborate with broader teams across Apple.

Skills

Machine learning research

Mathematics

Collaborative work

Education

PhD or equivalent practical experience

Tools

PyTorch

Job description

Cambridge, Massachusetts, United States Machine Learning and AI

Play a part in building the next revolution of machine learning technology. We're looking for passionate mid-level and senior researchers to work on ambitious curiosity driven long-term research projects that will impact the future of Apple, and our products. In this role, you'll have the opportunity to work on innovative foundational research in machine learning.As a member of the team, you will be inspired by a diversity of challenging problems, collaborate with world-class machine learning engineers and researchers to impact the future of Apple products, and publish some of your results in high-quality scientific venues.

Description

In this position you will be responsible for pushing the boundaries of machine learning research. You will publish your results in top tier conferences and journal venues, making sure that your research results are reproducible and of high quality. You will collaborate with researchers to propose a research plan to advance our understanding of machine learning and execute it through implementation and experimentation, in collaboration with your colleagues. You will provide technical guidance, and prepare technical reports for publication and conference talks. You will have the opportunity to collaborate with broader teams across Apple.

Minimum Qualifications

• Demonstrated expertise in machine learning research.
• Publication record in relevant conferences (e.g., NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP, etc).
• Hands-on experience working with deep learning toolkits such as PyTorch.
• Strong mathematical skills in linear algebra and statistics.
• PhD, or equivalent practical experience, in Computer Science, or related technical field.

Preferred Qualifications

• Ability to formulate a research problem, design, experiment, implement and communicate solutions.
• Ability to work in a diverse collaborative environment.

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 $134,700 and $203,000, 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. 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 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.

At Apple, we believe accessibility is a fundamental human right. You'll find that idea reflected in everything here - in our culture, our benefits and our digital tools. By welcoming as many perspectives as possible, we help you build a career where you feel like you belong.

Apple accepts applications to this posting on an ongoing basis.