Application Deadline
November 27, 2025
Pioneering the Future of Machine Learning at Apple Apple continues to stand at the forefront of innovation, pushing the boundaries of what technology can achieve. The company is now seeking passionate and visionary Machine Learning Researchers to join its Artificial Intelligence and Machine Learning (AIML) team in Cupertino, California. This position offers an opportunity to contribute to groundbreaking research that will influence the next generation of Apple products and services. A Role at the Intersection of Innovation and Research The Machine Learning Researcher will play a pivotal role in shaping the future of Apple’s intelligent systems. Candidates will engage in long-term, curiosity-driven research projects designed to advance the field of machine learning. The role encourages creativity and scientific exploration, empowering researchers to design and implement solutions that can redefine user experiences across Apple’s ecosystem. This is more than a technical position—it’s an opportunity to explore new frontiers in artificial intelligence while working alongside world-class engineers and researchers. Through collaboration and experimentation, the successful candidate will develop research that contributes both to Apple’s product innovation and to the broader academic community. Core Responsibilities As a Machine Learning Researcher, the successful candidate will be responsible for pushing the boundaries of AI research. Key responsibilities include: Publishing innovative findings in leading international conferences and journals. Ensuring that research outputs are of the highest scientific quality, reproducible, and rigorously validated. Collaborating with internal teams to design, implement, and test new machine learning methodologies. Providing technical guidance and mentorship within the team. Preparing detailed reports, conference presentations, and technical documentation. Engaging with broader Apple teams to translate research outcomes into practical applications. This role places a strong emphasis on the fusion of creativity and rigor, inviting researchers to bring fresh perspectives to complex challenges in AI, computer vision, natural language processing, and related domains. Required Qualifications Apple seeks individuals with demonstrated expertise in machine learning research and a proven track record of innovation. Candidates should have: A PhD in Computer Science or a related technical discipline, or equivalent professional experience. A strong publication record in top-tier conferences such as NeurIPS, ICML, ICLR, AAAI, CVPR, ICCV, ECCV, ACL, or EMNLP. Hands-on experience with deep learning frameworks such as PyTorch. Solid mathematical foundations, particularly in linear algebra, probability, and statistics. The role demands not only technical expertise but also intellectual curiosity, adaptability, and a commitment to advancing the state of the art in AI. Preferred Skills and Competencies In addition to technical proficiency, Apple values collaboration, creativity, and clarity of communication. Ideal candidates will demonstrate: The ability to independently formulate research questions, design experiments, and interpret results. Strong implementation skills for rapid prototyping and testing. A collaborative mindset and willingness to work across diverse, multidisciplinary teams. Excellent communication skills to present complex concepts effectively to technical and non-technical audiences. Researchers at Apple thrive in an environment that encourages exploration while maintaining a focus on meaningful, real-world impact. Compensation and Benefits Apple offers a highly competitive compensation package designed to reward excellence and foster professional growth. The base pay for this position ranges from $147,400 to $272,100, depending on experience, qualifications, and location. Employees also have the opportunity to become Apple shareholders through discretionary stock unit awards and participation in the Employee Stock Purchase Plan. Additional benefits include comprehensive medical and dental coverage, retirement plans, educational reimbursement for formal studies, product discounts, and access to a wide range of professional development resources. Eligible roles may also qualify for discretionary bonuses, commissions, or relocation support. Apple’s holistic approach ensures that compensation reflects not only technical skill but also contribution to innovation and collaboration. Commitment to Inclusion and Equal Opportunity Apple maintains an unwavering commitment to inclusion, diversity, and equal opportunity. The company encourages applicants from all backgrounds and does not discriminate based on race, gender, religion, sexual orientation, disability, veteran status, or any other protected characteristic. Apple also ensures compliance with fair hiring practices, reasonable accommodation for applicants with disabilities, and transparency regarding compensation and workplace policies. Its global work culture celebrates creativity, individuality, and respect—core values that define Apple’s identity as an employer of choice. Join Apple’s Vision for the Future For researchers seeking to make a lasting impact in the field of artificial intelligence, the AIML team offers a platform to explore, innovate, and publish world-class research while contributing to real-world applications. This is a rare opportunity to join one of the world’s most respected technology leaders and participate in shaping the next evolution of machine learning and AI. VISIT OFFICIAL WEBSITE TO APPLY For more opportunities such as these please follow us on Facebook, Instagram , WhatsApp, Twitter, LinkedIn and Telegram Disclaimer: Global South Opportunities (GSO) is not the hiring organization. For any inquiries, please contact the official organization directly. Please do not send your applications to GSO, as we are unable to process them. Due to the high volume of emails, we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.
Category
research
Type
online
Organization / Source
globalsouthopportunities.com
Posted
October 28, 2025
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