Apple Technology company

Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment? Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Join Apple, and help us leave the world better than we found it. Apple's Strategic Data Solutions Analytic Insight team is seeking a Data Scientist Intern for a role this summer at our Austin, Texas location. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. Apple is an Equal Opportunity Employer that is committed to inclusion and diversity. We also take affirmative action to offer employment and advancement opportunities to all applicants, including minorities, women, protected veterans, and individuals with disabilities. Apple will not discriminate or retaliate against applicants who inquire about, disclose, or discuss their compensation or that of other applicants. Key Qualifications Strong, demonstrated interest in data science Ability to program in Python, Java, C++, or similar language Solid, proven grasp of data analysis Working knowledge of relational databases and SQL is a plus Description   The Analytic Insight (AI) team provides analytic support across Apple's lines of business, applying data science and machine learning to mitigate fraud, waste, and abuse while optimizing and empowering our customers and internal partners. The team of data scientists researches, develops, and operationally supports analytical models that take real-time and forensic action against a variety of threats.   As an intern on the AI team, you will work with your mentor to develop an innovative research project and present the results to senior leadership at the end of the summer. You will get to play in Apple's enormous data infrastructure, evaluating your new tools and techniques on a giant scale.   Education & Experience   Currently enrolled in a degree-granting program pursuing an M.S. or Ph.D. in machine learning, statistics, operations research, or closely related fields with equivalent experience. Must be returning to school after internship.   Additional Requirements Past internship projects include: LSTMs, natural language processing, and data visualization.

Job Summary Apple is seeking a data science and machine learning intern to join the Apple Maps Routing and Traffic team in 2018. Our group works on some of the most challenging and impactful big data problems in the industry today, making sense of petabytes of data to deliver critical navigation functionality for millions of users who depend on Apple Maps. This internship opportunity is perfect for highly-motivated students who want to apply their coding skills and machine learning knowledge to a large and important application. Apple is seeking a data science and machine learning intern to join the Apple Maps Routing and Traffic team in 2018. Our group works on some of the most challenging and impactful big data problems in the industry today, making sense of petabytes of data to deliver critical navigation functionality for millions of users who depend on Apple Maps. This internship opportunity is perfect for highly-motivated students who want to apply their coding skills and machine learning knowledge to a large and important application. Key Qualifications Experience with machine learning theory and practice, particularly neural networks and sequence-based models. Experience using machine learning software, such as Python Sci-Kit, TensorFlow, Weka, MATLAB, or R. Experience with Java or Python along with an understanding of CS fundamentals and object-oriented programming. Experience with Hadoop or Spark is a plus. Description As a Phd data science and machine learning intern, you will use your skills to help our organization develop novel solutions to improve the quality of traffic information, ETAs, routes, and navigation using large-scale streaming data. On a day-to-day basis, you will collaborate with experts in the fields of machine learning and traffic, apply your knowledge to solve interesting data-driven problems, and work hands-on to implement your ideas. Education Currently pursuing a Ph.D. in Computer Science, Math, Stats, Civil Engineering (Traffic with a data science focus), or related fields. Additional Requirements Students in Computer Science, Math, Stats, or related fields (or Civil Engineering / Traffic with a data science focus) are strongly encouraged to apply.