176 gigs found in United States

Meet the New GSP The GSP has been SU’s flagship program since 2008, and it occupies an important place in our history. The program has served innovators from a wide diversity of backgrounds like Muhammad Yunus, Anousheh Ansari, Astro Teller, Naveen Jain, Sylvia Earle, Esteban Bullrich, Peter Worden, and delegations from UNICEF and World Food Programme amongst others, and has catapulted many moonshot ideas to help positively transform the future of humanity. GSP has generated more than 1,000 impact innovations from over 45 countries. And, eighty-eight percent of the GSP startups that become portfolio companies continue to raise funds following their year with SU. Based on this successful track record and the increased demand for this program, we were inspired to reimagine GSP to make it significantly more impactful for SU’s next ten years. As a result, we came up with a more hands-on, scalable, and global program that will turn radical ideas into real impact. The  Global Startup Program  helps future-focused entrepreneurs transform radical ideas into tangible impact on a global scale. It’s a structured, immersive program offering startup-focused educational resources and world-class mentorship from SU’s faculty, staff, and industry experts—in a safe, nurturing environment. The program aims to scale startups into global businesses. We want to inspire you to solve the world’s biggest challenges and impact the lives of a billion people. Join us in creating a better future. Program Details The Global Startup Program brings together entrepreneurs from around the world for structured, immersive workshops and intensive fieldwork in multiple locations around the globe, as well as continued access to support and resources via a best-in-class connectivity platform. We’ll start by helping you cultivate a new mindset and toolset to overcome the challenges of technological disruption. Next, we’ll work with you to accelerate your time to product-market fit, transform your startup from an idea to a venture that can help a billion people (“billion-scale”), and connect you with a global community to catalyze results. In short, GSP is designed to help you create a 10x startup at a global level.

The Air Force Research Laboratory (AFRL) Scholars Program offers stipend-paid summer internship opportunities to undergraduate and graduate level university students pursuing STEM degrees, as well as upper-level high school students; select locations also offer internships to university students pursuing education-related degrees and K-12 professional educators. The selected interns gain valuable hands-on experiences working with full-time AFRL scientists and engineers on cutting-edge research and technology and are able to contribute to unique, research-based projects. Graduate interns are able to collaborate with AFRL on current research and incorporate the research into their graduate work.  Benefits:   Exciting research topics Technical training Mentorship from experienced AFRL scientists and engineers Opportunities to tour AFRL laboratories Networking through social events Competitive stipend rates  Eligibility Requirements:   All applicants must meet the following eligibility requirements:  A grade point average of at least 3.0 on a 4.0 scale is highly encouraged for all applicants Must be a US Citizen; program is not open to non-Citizens or Permanent Residents Must be enrolled or accepted at an educational institution taking at least half-time academic course load leading to a degree or certificate for semester immediately preceding internship session. Note:  This does not apply to professional educators. Must be in good academic standing Must be at least 16 years of age and have a valid driver’s license Must be available to work full-time (40 hours per week) for summer internship positions Must be willing to temporarily relocate to physical work location Must be able to take personal responsibility for arranging transportation to and from worksite each day . Note:  Scholars should  not  rely on transportation from anyone who does not already have base access. Program administration will not be responsible for making additional arrangements on a scholar’s behalf to provide suitable transportation. Must be able to pass a background check, potentially resulting in a Secret Security Clearance

Responsibilities Our software engineering intern will assume a variety of technical responsibilities, which is the nature of working with a small team. These responsibilities include: Working with software contractors to manipulate and optimize flight control software. Developing controls for autonomous flight. Extensive field testing to optimize flight paths and maneuvers. Help develop IP for custom-designed control algorithms. Ability to work closely and effectively with team members to achieve engineering goals. Preferred Qualifications Completed at least three years toward B.S. in software engineering or computer science Experience using C++ Experience with flight controls of drones or model aircraft Knowledge of gas turbine engines Required Qualifications Completed at least two years toward B.S. in a technical field Proficient in Python and MATLAB Able to complete tasks according to project schedule

Lucasfilm's Advanced Development Group (ADG) develops tools and techniques for transmedia narrative. Our goal is to expand and enhance the process of creative storytelling in the Star Wars universe through VR, AR, mobile, and real-time rendering. Responsibilities : Use machine learning to transform assets in our art pipeline automatically Collaborate with tools and rendering groups on approach to new tools Test training of tools and evaluate the output against existing methods Basic Qualifications: Strong knowledge of computer graphics, machine learning, and 3D rendering as demonstrated by either academic projects, research or work/internship experience. Foundational C++ and/or Python programming skills. Excellent collaboration and communication skills. Comfort working iteratively in a dynamic entrepreneurial environment. Preferred Qualifications: Experience with Unreal Engine Basic understanding of a 3D content pipeline. Solid understanding of 3D math fundamentals. Required Education Sophomore, Junior, Senior, or Graduate Level student pursuing a Bachelor's, Master's, or PhD from an accredited college or university in Computer Science, Computer Engineering, Computer Graphics or related field. Additional Information: Internship Eligibility: Must be enrolled in an accredited college/university taking at least one class in the semester/quarter (spring/fall) prior to participation in the internship program OR must have graduated from a college/university within 6 months OR currently participating in a Disney College Program or Disney Professional Internship Must be at least 18 years of age Must not have completed one year of continual employment on a Disney internship or program. Must possess unrestricted work authorization Must provide full work availability Must provide own housing and transportation to/from work Current Active Disney cast members must meet Professional Internship transfer guidelines (for Walt Disney World cast members this is no more than four points and one reprimand in the last six months; for Disneyland cast members this is six months of consecutive service and a performance record clear of any disciplinary issues (warnings, suspensions, etc.) for at least six months) Program Length: The approximate dates of this internship are May/June 2019 - August/September 2019. Interns must be fully available for the duration of the internship.

Stanford Preview is a three-day program sponsored by the Stanford Biosciences and the Stanford Black Bioscience Organization. The program is designed to introduce diverse sophomores and juniors to the Stanford University campus and provide guidance in the graduate school admissions process. Eligible applicants should be interested in pursuing a PhD in the Biosciences. Program participants receive overnight accommodations, meals, travel to and from Stanford, and free access to the full schedule of events. Deadline: January 20, 2019 at 11:59pm PST. Eligibility and Application Requirements: Current sophomore or junior at 4-year university Demonstrated interest in pursuing a PhD in the biosciences (i.e. prior scientific research experience or intent to participate in research in the upcoming academic year) Completed application submitted by the deadline Copy of an unofficial transcript 1 letter of recommendation Must be available for the entire program (from March 14-16, 2019) Timeline:  Application closes on January 20, 2019 at 11:59pm PST Selected participants notified early February; selected participants will have 48 hours to accept or decline the offer Stanford Preview begins on March 14, 2019 Recommendation Letters: Recommendation letters from someone familiar with your previous research and/or graduate level research potential (PIs, research program directors, etc.) are strongly encouraged. Recommendation letters should touch upon your capacity and motivation to conduct research at the graduate level. Preview 2019 & Stanford Summer Research Program (SSRP) Applicants who wish to be considered for both Stanford Preview and the  Stanford Summer Research Program (SSRP)  can apply to both programs. Selection for Preview does not guarantee an offer to participate in SSRP (or vice versa). Questions? Feel free to contact supreview@stanford.edu

Dates:  January 7-9, 2019  Prices:  starting from USD 695 Location:  Orlando, the United States Citrix Summit 2019 Citrix Summit ’19 will give you the tools and inspiration you need to  grow your business  and help you succeed in a world of rapid digital transformation. Why attend? Maximize your Citrix partnership and join us at Citrix Summit for exclusive access to: 300+ hours of critical training, hands-on learning, and a free certification exam Build relationships with Citrix experts and business leaders Gain a clear vision and insight into Citrix strategy Citrix Summit Certification Center Enhance your professional status, advance your career and stand out from the competition with a Citrix certification. At Summit, you can take your certification exam for free, a savings of up to $300. You can also take additional exams using a major credit card or any valid, unexpired exam vouchers you may have. It pays to be certified Citrix certifications carry real value in the IT industry. According to the 2018 Global Knowledge IT Skills and Salary Report, two Citrix certifications—Expert certification in Virtualization and Professional certification in Networking—are listed in the top 20 highest-paying IT certifications. Associates in Networking and Professionals in Virtualization are near the top 20. Passing a Citrix certification exam entitles you to add your Citrix credentials to your signature and you receive a digital badge to use on your social media profiles. 3 virtualization certifications At Summit, you can take exams for all three Virtualization levels: Associate, Professional and Expert. Virtualization certifications focus on the design, deployment and management of XenDesktop 7.15 solutions. 4 networking certifications Four Networking exams will be available at Summit: two Associate-level exams, the Professional-level exam, and the new Expert-level exam. Associate candidates can take either exam to become a certified Networking Associate. Networking certifications focus on Citrix ADC, including implementation for app and desktop delivery, networking performance and optimization. Marketing track for Citrix Partners @ Summit Get up-to-date fast on the latest marketing trends, strategies and tactics, and how to leverage them for success in 2019 in our exclusive marketing track. Learn from top experts how to make better connections with your customers resulting in more leads and revenue. Thrive as a marketing leader in the digital marketing era Join two days of interactive sessions and workshops to develop new skills and new ways to keep your pipeline filled with qualified leads. When you get back to business, you’ll hit the ground running with actionable next steps regarding: Marketing strategy and planning Marketing for mid- and small-sized companies Social media marketing Content marketing planning Revenue marketing Outbound and inbound digital marketing Partner marketing update on our Citrix Partner KickStart program, Strategic Development Funds and MarketingIQ for 2019

Are you passionate about the Open Web? Do you want to help protect the Internet’s tremendous socioeconomic benefits through policy and advocacy? Mozilla works with our users and developers to provide products and services that make the Web more robust, and takes action when the Open Web is threatened. We engage in public policy matters when and where Mozilla can make a difference through both advancing and defending the Web. Our Internet policy portfolio is diverse and includes a broad range of issues and geographies. So it’s impossible to predict what you’ll be working on in advance, but as a Policy Intern at Mozilla you will… Research and analyze complex Internet public policy issues. Plan strategies and initiatives to create measurable change. Help the policy team track and monitor policy issues that could affect Mozilla and relate to our mission and manifesto, and make recommendations on positions on these issues. Develop and draft policy messaging and framing for external audiences including policy makers, NGOs and other key groups. Participate in strategic coalitions and organizations to help advance the image and visibility of Mozilla. Your Professional Profile Ideally, you’re a graduate student in law, computer science, public policy, or political science, with some interest in all four of those areas, with a graduation date starting December 2019 and onward. But maybe you’re an undergraduate instead! You should have a deep understanding of the Open Web, its history and what makes it work. You should have some level of technical depth as well as familiarity with applicable technology-related policy issues as well as legal and regulatory environments. We’re looking for someone with a strong work ethic and stellar interpersonal and communication skills. We want you to be able to talk to and work with a range of individuals at Mozilla and other organizations, and to come up with ideas and execute them with lightweight management and guidance (but ample support!). We are an equal opportunity employer and value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

We're LendingHome. We're on a mission to revolutionize the world of mortgages and put the power, and the keys, where they belongin your hands.   A summer internship at LendingHome's San Francisco Office offers you unparalleled networking and mentorship to kickstart your career in Silicon Valley. We're a product and technology-led company that values building a diverse and inclusive team who treat each other with respect and empathy. We're entrepreneurial, diligent, and emphasize a culture that promotes creativity and merit. We've been featured in Wealthfront's 2018 Career Launching Companies, as well as Forbes' Fintech 50. Come meet your future colleagues, investors, and even co-founders!  Get Things Done   We believe in hiring the absolute best, and strive to achieve quality over quantity. Because we move millions of dollars in transactions every day, we value finding the right balance between speed and stability. Our team engages in all dimensions of the business, from sales and marketing to capital markets and underwriting.  We are looking to find the next wave of data scientists and machine learning engineering interns to help building sophisticated predictive models and draw insights from large data sets and make an immediate impact on the company.  Work and Play   At LendingHome, we believe in challenging our employees, while also having fun. We are a highly cross-functional organization with a strong culture of collaboration that focuses on maximizing impact.  Our team regularly spends time together outside of the office, whether it's playing bubble soccer in the Presidio, going on weekend adventures in the Bay Area, or getting drinks at the SF Ferry Building. You'll attend company all-hands meetings and get first-hand experience in a company that's growing rapidly and sustainably. Our office is located close to BART and MUNI, so you'll spend less time commuting and more time shipping code.  Skills   The ideal candidate for this role would have the following skills: Strong coding skills (Python, Scala, etc.) Good foundational understanding of statistics Fluent in SQL Strong communication and collaboration skills Experience with data visualization tools is a plus (Tableau, Superset, Matplotlib/Seaborn, D3, etc) Mortgage experience not required - just general curiosity and a willingness to learn and make a difference Send us a link to your GitHub / LinkedIn, or apply using the link below. We look forward to hearing from you!  Forbes 2017 - Top 30 Under 30  $3 Billion in Mortgage Originations  We've combined an all-star team with groundbreaking technology. Come join us on our mission to fill the path to homeownership with confidence, clarity, and candor. Welcome Home.  LendingHome is an Equal Opportunity Employer   San Francisco Fair Chance Ordinance Police Code, Article 49

Zendesk is looking for smart, creative software development interns who enjoy building great software to join us in our San Francisco office. As a Zendesk intern, your project will be a real feature that delights our 125,000+ customers, not wasting a summer away on miscellaneous bug fixes. You'll work closely with a mentor to ship production code during and by the end of your internship that is used by real customers every day. You'll learn to develop in a Ruby on Rails & JavaScript stack operating at high scale, and will be involved in all phases of the software lifecycle, from specification to design, coding, and deployment.  This internship will focus on building applications, enhancing your skills and giving you on-the job training to further develop your engineering knowledge.   Requirements: Pursuing a Computer Science or equivalent experience (preferably in your 2nd or 3rd year of college) A genuine passion for the web and new technologies Experience with Web application development using Ruby on Rails and/or Javascript Github projects a plus Must be authorized to work in the United States The best customer experiences are built with Zendesk. Zendesk’s powerful and flexible customer service and engagement platform scales to meet the needs of any business, from startups and small businesses to growth companies and enterprises. Zendesk serves businesses across a multitude of industries, with more than 125,000 paid customer accounts offering service and support in more than 30 languages. Headquartered in San Francisco, Zendesk operates worldwide with 15 offices in North America, Europe, Asia, Australia, and South America. Learn more at  www.zendesk.com .   Interested in knowing what we do in the community? Check out the  Zendesk Neighbor Foundation  to learn more about how we engage with, and provide support to, our local communities.     Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster  diversity & inclusion  in the workplace. Individuals seeking employment at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law.   By submitting your application, you agree that Zendesk may collect your personal data for recruiting, global organization planning, and related purposes.  Zendesk's  Candidate Privacy Notice  explains what personal information Zendesk may process, where Zendesk may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Zendesk’s use of your personal information.  

Deadline:  January 22, 2019 00:00 (CET) Eligibility:  The Challenge is open to any nonprofit organization, public charity, or for-profit business from around the world, provided that they apply for a project that has a charitable purpose. Unfortunately, individuals without organizational affiliation are ineligible. Individuals and organizations that ordinarily reside or are located in Crimea, Cuba, Iran, North Korea, or Syria are not eligible to apply. Google AI Impact Challenge 2019 Google.org  is issuing an open call to organizations around the world to submit their ideas for how they could use AI to help address societal challenges. Selected organizations will receive support from Google’s AI experts, Google.org grant funding from a $25M pool, credit and consulting from Google Cloud, and more. Challenge overview Google believes that artificial intelligence can provide new ways of approaching problems and meaningfully improve people’s lives. That’s why the company is excited to support organizations that are using the power of AI to address social and environmental challenges. The challenge aims for projects across a range of social impact domains and levels of technical expertise, from organizations that are experienced in AI to those with an idea for how they could be putting their data to better use. Benefits of applying Selected organizations will receive customized support to help bring their ideas to life: coaching from Google’s AI experts, Google.org grant funding from a $25M pool, credit and consulting from Google Cloud, and more. Application criteria Impact.  How will the proposed project address a societal challenge, and to what extent? Is the application grounded in research and data about the problem and the solution? Is there a clear plan to deploy the AI model for real-world impact, and what are the expected outcomes? Feasibility.  Does the team have a well-­developed, realistic plan to execute on the proposal? Does the team have a plan to access a meaningful dataset and technical expertise to apply AI to the problem? Have they identified the right partners and domain experts needed for implementation? Use of AI.  Does the proposal apply AI technology to tackle the issue it seeks to address? Scalability.  If successful, how can this project scale beyond the initial proposal? Can it scale directly, serve as a model for other efforts, or advance the field? Responsibility.  Does the proposed use of artificial intelligence align with Google’s AI Principles? See Google’s Responsible AI Practices for practical guidance.

As a 2019 Corporate Summer Intern with FIS, you will benefit from on the job training and mentoringalong with participation in team projects, social events,charity work, and professional development seminars. This is a full time (40hrs/week) paid internship that will begin on June 3, 2019 and conclude on August 9, 2019.  Interns will receive the opportunity to build professional relationships and enhance their interpersonal skills. As an intern, you should expect to own the following roles and responsibilities: Contribute individually and/or as a team member to support a designated functional area, analyze business processes, and work towards goals and objectives assigned byan experienced manager. Interns will also interact with and support business partners and participate in projects that directly impact business value. General Duties & Responsibilities: Build predictive models using statistical and machine learning methodologies Create analyses for internal stakeholders as well as clients Create reporting Summarize and present findings to peer groups, senior management, and clients Determine relevant quantitative methods for solving client issues Share knowledge and learn from other members of analytics team Evaluate and improve internal tools and processes Qualifications: Enrolled in a Masters Program for Statistics, Economics, Machine Learning/AI, or some other quantitative discipline Experience using analytical software such as SAS, R, Python, H20, KNIME, Tableau Understanding of statistical modeling techniques Ability to present results to decision makers in a clear and understandable fashion  With a 50-year history rooted in the financial services industry, FIS™ is the world's largest global provider dedicated to financial technology solutions.  We champion clients from banking to capital markets, retail to corporate and everything touched by financial services. Headquartered in Jacksonville, Florida, our 53,000 worldwide employees help serve more than 20,000 clients in over 130 countries. Our technology powers billions of transactions annually that move over $9 trillion around the globe.  FIS is a Fortune 500 company and is a member of Standard & Poor’s 500® Index.  FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the  FIS Online Privacy Notice.   FIS is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, marital status, genetic information, national origin, disability, veteran status, and other protected characteristics. The EEO is the Law poster is available here:  www1.eeoc.gov/employers/upload/eeoc_self_print_poster.pdf  and here: www.dol.gov/ofccp/regs/compliance/posters/pdf/OFCCP_EEO_Supplement_Final_JRF_QA_508c.pdf For positions located in the US, the following conditions apply. If you are made a conditional offer of employment, you will be required to undergo a drug test. ADA Disclaimer: In developing this job description care was taken to include all competencies needed to successfully perform in this position. However, for Americans with Disabilities Act (ADA) purposes, the essential functions of the job may or may not have been described for purposes of ADA reasonable accommodation. All reasonable accommodation requests will be reviewed and evaluated on a case-by-case basis. As part of the selection process this role may require an assessment to determine suitability Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company. Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.

Where good people build rewarding careers. Think that working in the insurance field can’t be exciting, rewarding and challenging? Think again. You’ll help us reinvent protection and retirement to improve customers’ lives. We’ll help you make an impact with our training and mentoring offerings. Here, you’ll have the opportunity to expand and apply your skills in ways you never thought possible. And you’ll have fun doing it. Join a company of individuals with hopes, plans and passions, all using and developing our talents for good, at work and in life. Job Description Machine Learning Engineer - Intern This role is responsible for leading the use of data to make decisions. This includes: The coding/development of tools that use machine learning/predictive modeling to make business decisions, searching for and integrating new data (both internal and external) that improves our modeling and machine learning results (and ultimately our decisions), and discovery of solutions to business problems that can be solved through the use of machine learning/predictive modeling. Key Responsibilities: The following are the areas of responsibility the Machine Learning Engineer Intern will be exposed in some capacity: Uses best practices, with limited coaching, to develop statistical, machine learning techniques to build models that address business needs Utilizes effective project planning techniques to break down basic and occasionally moderately complex projects into tasks and ensure deadlines are kept Uses and learns a wide variety of tools and languages to achieve results (e.g., R, SAS, Python, Hadoop) Collaborates with the team in order to improve the effectiveness of business decisions through the use of data and machine learning/predictive modeling Innovates on projects by using new modeling techniques or tools Contributes on a wide variety of projects Executes on modeling/machine learning projects effectively Communicates findings to team and leadership ensure models are well understood and incorporated into business processes Works with leaders to ensure the project will meet their needs Maximizes personal professional development to ensure continuation of a personal contribution to the team and Allstate Reviews and evaluates on appropriateness of techniques, given current modeling practices, to senior leadership Target Start Date : May/June 2019 Job Qualifications Qualifications Currently pursuing a degree in a quantitative field (e.g. mathematics, statistics, computer or physical science). Skills and Experience: Ability to solve problems, think critically, and communicate clearly. Knowledge of statistical modeling, machine learning, mathematical optimization, and/or data mining Experience with programming. An understanding of algorithmic scaling and complexity a plus. Experience with big-data tools (e.g. hadoop) a plus. Careers @Allstate We are insurance. We are financial services. We are also so much more. We are lawyers, writers, web developers, accountants, building engineers, application developers, project managers and human resource specialists. We are creative, driven, passionate, fearless and curious. Our unique culture of inclusion helps us maximize innovation and creativity. We believe that welcoming differing ideas, cultures and backgrounds gives us a competitive advantage in a diverse, global marketplace. At Allstate, it's our differences that drive our success — as individuals and as a company. We celebrate creative problem-solving as we work together to make a difference in our communities. We believe in providing the very best tools and resources available to help keep our customers — and our employees — in Good Hands®. Connect with us on Twitter, Facebook, Pinterest and LinkedIn to find out for yourself... or hear from some of our employees in We Are Allstate The candidate(s) offered this position will be required to submit to a background investigation, which includes a drug screen. Good Work. Good Life. Good Hands®. As a Fortune 100 company and industry leader, we provide a competitive salary – but that’s just the beginning. Our Total Rewards package also offers benefits like tuition assistance, medical and dental insurance, as well as a robust pension and 401(k). Plus, you’ll have access to a wide variety of programs to help you balance your work and personal life - including a generous paid time off policy. Learn more about life at Allstate. Connect with us on Twitter, Facebook, Instagram and LinkedIn or watch a video. Allstate generally does not sponsor individuals for employment-based visas for this   position. Effective July 1, 2014, under Indiana House Enrolled Act (HEA) 1242, it is against public policy of the State of Indiana and a discriminatory practice for an employer to discriminate against a prospective employee on the basis of status as a veteran by refusing to employ an applicant on the basis that they are a veteran of the armed forces of the United States, a member of the Indiana National Guard or a member of a reserve component. For jobs in San Francisco, please click "here" for information regarding the San Francisco Fair Chance Ordinance. For jobs in Los Angeles, please click "here" for information regarding the Los Angeles Fair Chance Initiative for Hiring Ordinance. It is the policy of Allstate to employ the best qualified individuals available for all jobs without regard to race, color, religion, sex, age, national origin, sexual orientation, gender identity/gender expression, disability, and citizenship status as a veteran with a disability or veteran of the Vietnam Era.

Don’t Just Build Tech. Change Tech Innovation is at the heart of everything we do. Every day, our technologists enable our customers around the globe to achieve their goals. They design and deliver American Express infrastructure and applications across all markets and business units. To meet these demands, we’re looking for problem solvers who can drive results through precise analysis and programming methodologies, individuals with a strong intellectual curiosity and a passion for innovation, and team players who can convert their ideas into execution.　 Technology opportunities are available in Phoenix, AZ, Ft. Lauderdale, FL, and New York, NY.　 Join the team and make an impact right away Write code with one or more programming languages (e.g., Java, JavaScript, .NET, Python) Function as a core member of an agile team working on API specs, conducting code reviews and testing in ongoing sprints, or doing proof of concepts/automation tools Design and develop new customer-facing applications on multiple channels like native iOS, Android, web, social integration and Java services/APIs, Design and implement web-enabled systems for data collection Qualifications We have the know-how, technology and global reach to make nearly any idea a reality. All that's missing is you! Do you meet the below requirements? Passion for coding Ability to identify opportunities to adopt innovative technologies Hunger to learn new technologies and translate them into working software Ability to effectively communicate with internal and external business partners Creative and digital mind-set　 Educational Requirements Must earn Bachelor's or Master's degree in Computer Science, Computer Engineering, or other technical discipline by June 2019

At Uber, we ignite opportunity by setting the world in motion. We take on big problems to help drivers, riders, delivery partners, and eaters get moving in more than 600 cities around the world.  We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let’s move the world forward, together. With the Career Prep Program, we ignite opportunity by setting careers in motion for all. Our goal is to raise transparency around the steps necessary for embarking on a STEM career for traditionally underrepresented groups in tech and increase their representation in the industry.  We welcome people from all backgrounds who endeavor to further this mission to apply.  About the role   As a Career Prep Fellow, Uber will help you take your skills to the next level in partnership with experts in the field. This year-long program consists of six Thursday / Friday workshops. Topics will vary for each session covering a range of competencies such as: technical interview skills, insights into how top engineers succeed, communication and self-marketing skills, engineering competencies, and so much more. Homework assignments are included in the program to expand on learning from workshops, and prepare for the following session. One on one mentorship from Uber engineers and members of Uber's employee resource groups will also be a huge part of your success in this one of a kind experience.  Where will instruction be delivered? We will determine this once we know where our participants are located. Some instruction will take place at Uber HQ in San Francisco, but we will also make use of our New York Office and virtual classrooms as needed. Who will cover expenses? For those outside SF and NYC, there will be some portion of the program that requires program participants to travel. Uber will cover all expenses in those cases (travel, lodging, meals). Qualifications College Students in a U.S. based 4-year program Community College Transfer Applicant (Will start a 4-year program by Fall 2019) Major or concentration in Computer Science or another closely related field Demonstrate a commitment to furthering the Career Prep Program’s mission Passion and drive to be successful in the tech industry Application Process Applications Due - Feb 14, 2019 including resume, transcript, and essay questions) Interview Day-Feb 23, 2019 Program start day-March 15, 2019

Responsibilities may be quite diverse of a software technical nature. Experience and education requirements will vary significantly depending on the unique needs of the job. Job assignments are usually for the summer or for short periods during breaks from school. Qualifications Candidate pursuing a Master or PHD degree in Computer Science, Electrical Engineering or any related fields (Statistics, Applied Math, Computational Neuroscience). Candidates should have 6 months + of experience in the following areas: Background in deep learning, machine learning, big data or Data Science Experience designing professional software using Python, C++, Tensor Flow, Neon, CUDA. Drive to solve customers’ problems using technical creativity and hard work  Preferred Qualifications: Familiarity with DL, ML frameworks Comfortable manipulating representations of programs  Inside this Business Group Intel AI, leveraging Intel's world leading position in silicon innovation and proven history in creating the compute standards that power our world, is transforming Artificial Intelligence (AI) with the Intel AI products portfolio. Harnessing silicon designed specifically for AI, end to end solutions that broadly span from the data center to the edge, and tools that enable customers to quickly deploy and scale up, Intel AI is inside AI and leading the next evolution of compute. Other Locations US, California, San Diego; US, Washington, Multiple Cities; US, California, Santa Clara; US, California, Folsom; US, Arizona, Phoenix; Posting Statement All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance....

THE WILLIAMS SONOMA, INC TECHNOLOGY INTERNSHIP -- GRADUATE STUDENT (ARTIFICIAL INTELLIGENCE / MACHINE LEARNING)  Williams Sonoma, Inc. is in search of summer technology interns who are strategic thinkers and problem solvers, ready to innovate, and have a passion for retail and technology. As an intern here, you can develop your skills alongside a team of supportive mentors and inspiring leaders. Williams Sonoma Inc. is a global, multi-channel retailer of home furnishings and housewares (our family of brands includes Williams Sonoma, Williams Sonoma Home, Pottery Barn, Pottery Barn Kids, PBteen, west elm, Mark & Graham, and Rejuvenation), but we operate within smaller teams, giving each person an opportunity for hands-on experience. Together, our brands represent a strong, diverse and growing portfolio that allow us to reach customers in a new way every day -- and we'd love your help. OUR PROGRAM We're looking for a talented Artificial Intelligence / Machine Learning (AI/ML) intern to help us create data driven products and experiences. We, at Williams Sonoma, apply AI/ML in areas such as personalization, recommendations, supply chain optimization, search, forecasting and many more. OUR VALUES We are in the business of enhancing the quality of our customers' lives at home. We take pride in our values, as they drive us towards our mission of being the world's leading specialty multi-channel retailer in home furnishings and housewares. ― PEOPLE FIRST ― CUSTOMERS ― QUALITY ― SHAREHOLDERS ― INTEGRITY ― CORPORATE RESPONSIBILITY Requirements/Qualifications YOUR EXPERIENCE  We designed our internship program to be a game-changing step in your career journey. During your internship, you will be a part of an intern cohort working at one of our San Francisco, CA office locations. Throughout the program, you will attend technology and business critical meetings, lead projects, gain experience working with cross-functional teams, attend professional trainings, and have the chance to brainstorm with our leadership team. YOUR IMPACT Williams-Sonoma, Inc. places high value on our interns' ideas for our business and our brands. During your internship, you will work on a project and will present your final project to the executive leadership team towards the end of the internship program. Many of our interns' project proposals have been implemented in new business strategies, as we value the fresh perspective our interns bring to the business. WHEN The nine-week program begins on Monday, June 17, 2019 and ends on Friday, August 16, 2019. WHERE ― SAN FRANCISCO, CA  REQUIREMENTS AND QUALIFICATIONS   YOU . . . Currently enrolled in a Master's degree graduate program in Computer Science, Data Science, Applied Math or similar field with concentration in AI/ML. Strong software engineering skills in Python, Java, or Scala. Experience with scientific libraries such as NumPy, Scikit-learn, Pandas, and deep learning frameworks like TensorFlow, PyTorch, and Keras. Strong communication skills Enjoys launching new ideas and solving problems Thrives in a fast-paced environment Globally minded Team player and can adapt and lead change Have a passion for our products Expertise in the following areas will be a big plus: Practical experience with recommender systems and time series forecasting Hands on experience in ML and modern CNN and RNN architectures

Are you looking for a high energy and fast paced position as a 2019 Summer Internship - Analytics Intern?  Join Relias, the company changing lives throughout the world by helping healthcare organizations improve their clinical outcomes! Relias provides a blended approach of learning, assessments and analytics for approximately 6,000 healthcare providers, covering both physical and mental health needs, as well as public safety organizations. Relias offers unrivaled course content and allows staff and organizations to demonstrate skill and performance, all in a singular, powerful learning management system.   The Analytics group regularly receives data from clients in the form of flat text files.  These files are then run through an ETL process to land them in our database.  Although there are standardized file specifications, the files rarely conform perfectly to the specification.  Matching these files to the appropriate file type and mapping the correct fields is currently a manual activity that is a prime candidate for a machine learning solution.  For the 10 week program, the Analytics Engineering Team would require the intern to build a proof of concept coding project to demonstrate how Relias can use the Python programming language to automatically detect file types and load data into the appropriate destination tables.  WHAT CAN RELIAS OFFER YOU?  Paid internship   Comprehensive 2-day onboarding program – a great introduction to our company, customers and culture!  Growth and career advancement opportunities! One of Deloitte’s 500 fastest growing tech companies One of The 2014 Inc. 5000 fastest growing companies  WHAT YOU’LL BE DOING:  For the 10 week program, the Analytics Engineering Team would require the intern to build a proof of concept coding project to demonstrate how Relias can use the Python programming language to automatically detect file types and load data into the appropriate destination tables.  Use Python natural language programming (NLP) libraries to obtain file metadata (identify data field names and corresponding data types). Use Python machine learning libraries to build classification models for identifying file type based on file metadata. Use Python scripting to automatically connect to a SQL database, map source data fields to target landing tables, and then load data. Store code in Bitbucket source control platform using Git model. Create process for versioning and storing trained machine learning models in source control. Document process, requirements, and methods for project in team wiki (Confluence).  YOU HAVE WHAT IT TAKES IF YOU HAVE:   1+ years of experience with Python natural language programming (NLP) Pursuing a Computer Engineering or related degree Strong desire to learn!  Relias is an Equal Opportunity Employer and a Drug-Free workplace    

Data Scientists at Microsoft help to improve the quality of experiences on our devices and services. We are looking for highly motivated and passionate Data Scientists to apply rigorous scientific methodology and algorithms to data in order to improve Microsoft’s devices, operating systems, and services. As a Data Scientist, you will provide unique insight into business and customer scenarios that cut across organizational boundaries and lead the growth of a data-driven culture within Microsoft.      Do you want to work on a meaningful and impactful project and make a difference?   Are you willing to learn from others and open to new ideas?   Do you want to support others to succeed and operate in a highly-collaborative and global environment?   If this sounds like you, Microsoft would like to invite you to come join us as you are, where you can find more than just a job.     Read on to learn more about opportunities and apply online!     Applications to these opportunities are considered for all available Data & Applied Sciences intern roles including the ones described below, depending on education level and/or location. To be considered for an internship or college student position, you need to be enrolled full-time as a student majoring in an applicable field.     Responsibilities   As a Data Scientist, you will formulate approaches to solve problems using well-defined algorithms and data sources. You will incorporate an understanding of product functionality and customer perspective to provide context for those problems. You will use data exploration techniques to discover new questions or opportunities within your problem area and propose applicability and limitations of the data. Successful Data Scientists will interpret the results of their analysis, validate their approach, and learn to monitor, analyze, and iterate to continuously improve.      You will engage with peer stakeholders to produce clear, compelling, actionable insights that influence product and service improvements that will impact millions of customers. As a Data Scientist, you will also engage in the peer review process and act on feedback while learning innovative methods, algorithms, and tools to increase the impact and applicability of your results.     Qualifications   Currently pursuing a bachelor’s or master’s in Computer Science, Mathematics, Economics, Statistics, Applied Sciences like Biostatistics, Physics, Chemistry, Computational Neurology and or other quant-focused field with at least one semester/quarter remaining after internship.    Some Engineering experience and or project course work using large data systems on SQL, Hadoop, etc.   Proficiency using one or more programming or scripting language to work with data such as: Python, Perl, or C#.   Some experience and or project course work performing data analysis and applying statistics working with tools such as: Excel, R, MATLAB, AMPL, or SAS.   Some experience and or project course work with product and service telemetry systems.   Some A/B Testing or experimentation (this can be from conducting real life science experiments, hypothesis testing in stats etc.) Not required but ideal.   Some experience or course work applying basic ML to a type of data and or used algorithms to conduct experiments on data. Machine Learning strongly encouraged.   Passion to learn from your peers, manager, and other stakeholders in the Data Science domain.    Ability to interact with peers and stakeholders to drive product and business impact.   Strong interpersonal and communications skills.     Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.  Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.