Welcome to Jobfind4u.anekjob.com We provide job seekers with information gathered from various publicly available job posting websites, including but not limited to Google, Indeed, LinkedIn, and other well-known job platforms. Our mission is to help individuals find employment opportunities by offering up-to-date job listings and career-related resources. We do not charge any fees for accessing or using our website, and all job information is provided free of charge.
Jobfind4u.anekjob.com does not directly offer, manage, or engage in the hiring process for any of the job listings featured on our website. All listings are sourced from third-party job posting platforms such as Indeed, LinkedIn, and other recognized job websites.
By using our website, you acknowledge and accept the above terms and conditions. Thank you for visiting Jobfind4u.anekjob.com, and we wish you success in your job search.
Within Apple’s Artificial Intelligence and Machine Learning organization (AIML), you can take part in the ongoing revolution that machine learning plays in daily life. Apple’s fully-integrated hardware and software provide unique opportunities to deliver amazing experiences, all while prioritizing user privacy. We do work in all fields of Machine Learning, including, but not limited to, large language models, diffusion models and reinforcement learning, as well as other related areas such as accessibility, privacy, and fairness.
As an AIML intern, you will get to explore new methods, apply machine learning to solve ambitious problems, advance state-of-the art technology through research and publications, challenge existing metrics or protocols, and develop new theories that will impact the way we understand machine learning and the experiences it can enable. Come collaborate with some of the best in the business and help build the world's most innovative products and experiences.
Description
In an AIML internship, you will collaborate with researchers, engineers, and program/project managers to tackle innovative challenges. You will also receive technical mentorship and guidance that allows you to learn new things every day, gain practical skills, build real world experience, develop a greater understanding of our industry, and form valuable connections.
Together, you and your team will partner to design and implement an innovative solution for a Machine Learning problem that is meaningful. At the end of your internship, you will have the opportunity to meet and present your work to AIML leadership. Where appropriate, you will have the opportunity to submit your work for publication at a suitable conference.
Minimum Qualifications
Working toward an undergraduate, graduate or doctoral degree in computer science, engineering, data science, applied mathematics, or equivalent. Doctoral degree paths are preferred for research focused internships.
At the end of the internship, you must return to school to continue your education or the internship must be the last requirement for you to graduate.
Preferred Qualifications
It’s helpful if you meet one or more of the following qualifications, but it isn’t a requirement
Proficiency with an object-oriented programming language, such as Python, Swift, Objective C or Java
Experience with ML libraries, such as TensorFlow, PyTorch, CoreFlow, and Sklearn
Practical knowledge related to building and adapting algorithms for machine learning, speech, multimodal sensing, and related areas
Familiarity with crafting, prototyping, and evaluating interactive systems
Excellent mathematical skills in linear algebra and statistics
Ability to collaborate with others
Problem solving skills
Applied ML Engineering internships: Experience with integrating research prototypes into production applications. Proficiency conducting ethnographic or other situated studies of human interaction with or through interactive technologies. Experience crafting, conducting, analyzing, and interpreting experiments and investigations
Demonstrated expertise with proven publication or track record in at least one of the areas: statistics, econometrics, operations research, quantitative marketing, causal inference, time series analysis, stochastic modeling, optimization and decision making theory
Research-Focused internships: Currently pursuing a doctoral degree. Research experience in Machine Learning and a demonstrable record of publishing academic research in peer-reviewed venues
This posting is not for a specific job opening and by submitting your resume you are expressing interest in being contacted about this type of role at Apple in the future.
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.
