最新美国2019暑假Software/DATA岗位职位来袭

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1

Software Engineering Intern

Job Type: Internship Location: SAN FRANCISCO, CA

Responsibilities • Marketplace engineers work on systems programming, scalability, reliability, and API design. Each engineer has the opportunity to work on all merchant platforms as well as our entire stack. They work on entire features from the database level to the client. • Product engineers release new mobile updates biweekly to ensure that engineers are able to iterate quickly, and make an impact immediately. Each engineer has the opportunity to work on all mobile platforms as well as our entire stack. They work on entire features from the database level to the client. • Data & Relevancy engineers work on our massive semi-structured datasets. They have domain experience in data mining, information retrieval, or machine learning, and a strong system orientation. Key product initiatives include product feed relevance, ad targeting, information extraction, and recommendations. • Infrastructure engineers scale a massive, highly-available platform end-to-end. They design distributed systems, validate performance, factor in security, and proactively monitor every corner of our stack. When things do go wrong, they are on-hand to fight the fires. Qualifications • Passion to hack social commerce • Self-motivated, relentlessly focused on impact, and able to operate under a great deal of independence • Math, computer science, and software engineering are in your DNA. You have a solid foundation and a real passion for it. • You lay awake thinking about improving the design, implementation and maintenance of large software systems with millions of users • You revel in building features quickly and iterating in a data-driven fashion

2

Machine Learning / AI – Engineering & Research Internship

Job Type: Internship Location: Cupertino, CA

Responsibilities You will research and develop innovative ML strategies for challenging problems that will affect future Apple products. You will collaborate with broader teams across Apple to transfer AI/ML solutions. You will have opportunities to provide technical mentorship and guidance and prepare technical reports for publication and conference talks. You are self-motivated, excellent problem solver, a go-getter. You are quick to build relationships and work well with change and ambiguity. You have strong programming skills with tried experience crafting, prototyping, and delivering advanced algorithmic solutions.   Qualifications • In-depth expertise in deep learning (DL) and statistical machine learning (ML) • Expertise in one or more of CV, NLP, optimization, RL, time series, generative models, signals, pattern recognition fields, and/or computer graphics fields • Strong publication record demonstrating innovative research • Good presentation skills • Passionate about building extraordinary products • Excellent programming skills in Java, Python, C/C++, CUDA or other GPGPU is a plus • Knowledge of common ML frameworks • Expected to perform well in a fast-paced environment, to execute on the tasks assigned, to meet the production deadlines and, at the same time, to explore independently new innovative ideas that can improve and transform the product experience of Apple customers • Be able to deliver ML technologies aligned with the core values of Apple, ensuring the highest standards of quality, scientific rigor, innovation, and respect for user privacy • Creative, collaborative, and product focused

3

Research Intern, (AI)

Job Type: Internship Location: Multiple Sites

Responsibilities •  Perform research to advance the science and technology of intelligent systems. •  Perform research that improves understanding and representation of the semantics of data (images, video, text, audio, and other modalities). •  Devise data-driven models of human behavior.Influence progress of relevant research communities by producing publications. •  Collaborate and increase productivity on existing research projects. Qualifications • Currently enrolled in a full-time degree program and returning to the program after the completion of the internship. • Publications or experience in fields related to in machine learning, AI, computer vision, natural language processing, computational neuroscience, optimization, computer science, statistics, applied mathematics, or data science. • Experience solving analytical problems using quantitative approaches. • Ability to manipulate and analyze large scale, high-dimensionality data from varying sources. • Experience in utilizing theoretical and empirical research to solve problems. • Ability to communicate research for public audiences of peers. • Knowledge in a programming language.Ability to obtain and maintain work authorization in the country of employment in 2018.

4

Data Science Consultant

Job Type: Internship Location: Remote

Responsibilities • Develop advanced algorithms that solve problems of large dimensionality in a computationally efficient and statistically effective manner; • Execute and teach application of statistical and data mining techniques (e.g. hypothesis testing, machine learning and retrieval processes) on large, unstructured data sets to identify trends, figures and other relevant information; • Lead conversations with clients and other colleagues to effectively integrate and communicate analysis findings; • Evaluate emerging datasets and technologies and help define our analytic platform; • Contribute to thought leadership through research and publication; Qualifications • This is an entry-level position, a Bachelor or Master’s degree in quantitative discipline is preferred. Candidates from other areas with great skillsets are also welcome. • Understanding of statistics (e.g., Bayesian, Frequentist, etc.); extensive experience with running statistical analyses using a variety of methods to drive decisions. • Professional experience with advanced regression analysis, probabilistic modeling, and/or machine learning / predictive analytics, including the ability to use tools like Python, R, etc. • Understanding of relevant tools/platforms (e.g. database systems); • Understanding of Agile project planning and project management; • Team management and skill development experience; • Excellent oral and written communication skills; • Strong attention to detail, with a research-focused mindset; • Excellent critical thinking and problem-solving skills; • High motivation, good work ethic and maturity.

5

Quant/Data Science

Job Type: Internship Location: New York, NY

Responsibilities • Data collection and analysis of securities (as well as crypto currencies) and investment positions. • Building pattern recognition models that identify attractive and unattractive stocks using systematic multivariate frameworks. • Perform independent validation of analytical models and frameworks, including assessment of conceptual soundness of models, proper application of statistical theories, evaluation of data and assumptions, and performing outcomes analysis (e.g. back-testing and benchmarking). • Understanding of traded products, an appreciation of market risk methodologies and the underlying data challenges. Qualifications BS/MS in quantitative discipline from a top-rated university. Solid mathematical background and knowledge of finance, math, statistics, economics principles. Experience performing statistical analysis and knowledge of econometrics. Programming/computational background with working knowledge of Python/Matlab, Excel/VBA, C++, and SQL.Previous use of financial data-sets for personal investing exploration. Understanding of securities analysis(balance sheet and income statement analysis), valuation and earnings forecasting methods. Methodical, diligent, and systematic in approach to problem solving and model building. A self-starter able to research independently and also demonstrate strong interpersonal skills and work ethic. Necessary to communicate and interact within a team-oriented environment.

6

Data Engineering Intern

Job Type: Internship Location: New York, NY

Responsibilities •  Improve and extend fault-tolerant data pipelines to integrate large amounts of data from many diverse storage systems. •  Share knowledge by clearly articulating results and ideas to customers, managers, and key decision makers. •  Stay current with the latest research and technology and communicate your knowledge throughout the enterprise •  Take responsibility for preparing data for analysis and provide critical feedback on issues of data integrity Qualifications • Degree Level: BS or MS in Computer Science or other  engineering discipline • Very strong programming skills in Scala, Java or Python • Good communication and team working skills