AIML - Machine Learning Researcher, MLR id-7371

About the position

Join us in shaping the future of machine learning technology at Apple. We are seeking passionate mid-level and senior researchers to engage in ambitious, curiosity-driven long-term research projects that will significantly influence the future of our products. In this role, you will have the unique opportunity to contribute to innovative foundational research in machine learning. As a member of our team, you will tackle a variety of challenging problems, collaborate with world-class machine learning engineers and researchers, and have the chance to publish your findings in prestigious scientific venues. You will leverage your strong research background in machine learning or related fields to produce high-quality, reproducible results. Your responsibilities will include proposing your own research plans to advance our understanding of machine learning, executing these plans through implementation and experimentation, and collaborating closely with your colleagues. Additionally, you will provide technical mentorship and guidance to others, and prepare technical reports for publication and conference presentations. This role also offers the opportunity to collaborate with broader teams across Apple, enhancing the impact of your research on our products and technologies.

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Responsibilities

• Conduct innovative foundational research in machine learning.
• Propose and execute research plans to advance understanding of machine learning.
• Collaborate with machine learning engineers and researchers.
• Publish research results in high-quality scientific venues.
• Provide technical mentorship and guidance to team members.
• Prepare technical reports for publication and conference talks.
• Collaborate with broader teams across Apple.

Requirements

• Demonstrated expertise in machine learning research.
• Publication record in relevant conferences such as NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, EMNLP.
• Hands-on experience with deep learning toolkits like TensorFlow or PyTorch.
• PhD or equivalent practical experience in Computer Science or a related technical field.

Nice-to-haves

• Strong mathematical skills in linear algebra and statistics.
• Ability to formulate research problems and design experiments.
• Ability to work in a diverse collaborative environment.

Benefits

• Comprehensive medical and dental coverage.
• Retirement benefits.
• Discounted products and free services.
• Reimbursement for certain educational expenses, including tuition.
• Discretionary bonuses or commission payments.
• Relocation assistance.