The iTunes big data engineering team is looking for talented server-side engineers to build and enhance social features such as those underpinning Apple Music. This is your opportunity to contribute to key Apple services built using massively scaled systems, on a team located in San Francisco and working closely with Cupertino and London. Key Qualifications Minimum of 5 years professional software engineering experience. Proficiency in building Node.js applications. Experience with building RESTful APIs. Experience with a NoSQL solution, document store, or key-value store (e.g. Cassandra, Redis, MongoDB, Couchbase). Comfortable with Linux command line tools and basic shell scripting. Description Our team is responsible for architecting and delivering services such as those central to Apple Music Connect that allow users and artists to interact with each other. To build these features, we create server-side applications that employ a combination of microservices, message-passing, caching layers, and distributed databases. We serve our data over cleanly designed RESTful HTTP endpoints used by multiple client platforms making a massive number of requests per second at millisecond response times. This is a great opportunity to join a small but growing team of motivated engineers, with wide responsibility and high-profile feature ownership. Whether you’re interested in architecture, data modeling, plumbing data pipelines, or designing endpoints, there are numerous possibilities for building new features from scratch and enhancing the existing infrastructure. Education Education: BS or MS in Computer Science, or equivalent experience Additional Requirements Experience with building highly scalable services using a microservices architecture. Experience with message-based architectures using Kafka or other another message broker. Experience with Agile software development methodologies including Scrum and TDD (test-driven development). Ability to collaborate with cross-functional teams. Familiarity or experience with Java or another object-oriented programming language. Experience with Git.

Etsy is committed to advancing the fields related to E-commerce related fields by building technologies that help Etsy buyers and sellers discover and celebrate handmade goods from all over the world. We are seeking individuals passionate in areas such as Machine Learning, Data Mining, Recommender Systems, Information Retrieval, Natural Language Processing, Computational Advertising, Deep Learning and Computer Vision. Our data scientists have the opportunity to make core algorithmic advances and apply their ideas in the dynamic world of E-commerce in strengthening Etsy’s global marketplace. Data scientists can publish their innovations at top tier conferences such as KDD, NIPS, ICML, ICLR, CVPR, ICCV, WWW, WSDM, SIGIR and etc. This position would be based in Brooklyn, New York. What We’re Working On Recommendation and Personalization Natural Language Processing and Query Understanding Deep Learning Image Processing and Understanding Text Understanding Learning to Ranking for Search and Ads Fraud and Abuse Detection Large-scale Machine Learning Who You Are You share our values (below) and are looking for a company that has a solid mission. You have strong analytical and quantitative skills. You are familiar with techniques in Machine Learning, Data Mining, Recommender Systems, Information Retrieval, Natural Language Processing, Computational Advertising, Deep Learning and Computer Vision or related fields. You have a Ph.D. degree in Machine Learning, Data Mining, Recommender Systems, Information Retrieval, Natural Language Processing, Computational Advertising, Deep Learning and Computer Vision or related fields. You have strong technical and programming skills. You are familiar with relevant technologies and languages (e.g. Python, Java, C++ and etc.). You have experience in or desire to learn Hadoop/Spark related Big Data technologies. You have demonstrated the capability to review and write technical papers. You can contribute to research that can be applied to Etsy product s. You have the ability to quickly prototype ideas and solve complex problems by adapting creative approaches. You are a strong collaborator and communicator and you make the engineers around you grow and learn. What we care about Curiosity and humility. We are dedicated to learning and constantly improving. We hope you also value things like blameless postmortems and have a natural drive to figure out how everything works. Keeping it real. Etsy’s mission and values are a part of everything we do. We care about how our work affects real people in the community and enjoy opportunities to meet them. We are motivated by this mission every day. What's Next If you're interested in joining the team at Etsy, please send a cover letter along with your CV/Resume. Tell us more about your background and why you're interested in using machine learning and AI at Etsy! Feel free to point us to your latest publication and any other online presence you may have including Github, Weblogs and others.

Up to 5 million human genomes and exomes are expected to be sequenced by the end of 2018, driven by advances in sequencing technologies pioneered by Illumina. As a consequence of this success, genomic interpretation has emerged as the chief bottleneck to clinical diagnosis and actionability. To address this challenge, Illumina is hiring a scientist with specialization in deep learning to develop new scientific algorithms and techniques to improve the accuracy, throughput, and reproducibility of clinical genome interpretation and diagnosis. Recent advances in deep learning have revolutionized diverse fields such as computer vision, language, decision support, and speech processing. The enormous amounts of data being generated in sequencing experiments represent a major opportunity to develop novel machine learning and data-driven approaches to extract clinically actionable information from genomic sequence, and apply it towards improving human health. All About You Responsibilities: Develop deep learning algorithms for distinguishing between benign and pathogenic genetic variation and extracting structure and function from sequence. Develop deep learning models that integrate across multimodal data sources, including functional genomics, conservation, and protein structure. Develop novel network architectures optimized for genomics applications. Develop visualization tools to explore neural networks and provide context on how the network made its decisions Requirements: At least 2+ years experience in deep learning, and at least 5+ years total experience in general algorithms, data mining, and machine learning. Expertise on solving novel problems with deep learning on common deep learning platforms: Tensorflow, Theano, Keras, Torch, Caffe. Experience with genomics within a biotech/pharmaceutical organization, research institute, or academic medical center, and eagerness to grow domain knowledge in biology, statistics, and human genetics. Communication and presentation skills with the ability to present complex scientific ideas to clinical, scientific, and corporate audiences. Must have a strong record of successful delivery of complex projects while under tight timelines. Willing to work in a fast paced, competitive environment. Education: Advanced degree (PhD or MS) in computer science, genomics, or statistics specializing in artificial intelligence and machine learning Illumina believes that everyone has the ability to make an impact, and we are proud to be an equal opportunity employer committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, military or veteran status, citizenship status, and genetic information.

As the world’s largest research organization, Nielsen is powered by talented creative scientists. Our Data Scientists come from diverse disciplines such as statistics, research methodology, mathematics, psychology, business, engineering and demography. These professionals drive innovation, new product ideation, experimental design and testing, complex analysis and delivery of data insights. This position is responsible for independently analyzing, developing, testing, and supporting moderate to highly complex application software as they relate to Statistical Methods and Models. These software algorithms, prototypes and tools must be developed as part of a statistical team and maintained with high-quality standards and minimal defects. Analyzes, designs, and documents software tools as they relate to big data sets : Investigates and analyzes verbal and written requests for software, interpreting application requirements to construct moderate to highly complex tools. Designs moderate to highly complex software code and test plans, ensuring software developed meets requirements. Writes technical documentation for routines and tools, facilitating their maintenance. Work directly with cross functional teams to define and implement analytical models as part of the overall product: Parse and manipulate raw, complex data streams to prepare for loading into analytical tools. Work with senior statisticians to define and implement analytical models as part of the overall methodologies being implemented. Design and implement models that scale and perform well in large scale, data heavy applications. Develop and tests algorithms, prototypes and technical specifications that will be used for new products and enhancements to existing products. Strong analytical skills including analysis, data collection, process mapping and troubleshooting for root cause. The ability to work in a fast-paced multidisciplinary environment as in a every changing landscape where new data keeps flowing in rapidly. Provides support to internal users and support staff: Investigates tool incidents for missing or incorrect functionality. Assesses incident resolution and estimates application changes. Applies resolutions, leading to timely, error free revisions in applications. Participates on project teams: Participates in ensuring the project team is following and continuously improving the information technology (IT) software development lifecycle (SDLC) as they relate to prototypes and tools. Conducts and participates in technical reviews of moderate to highly complex software tools, evaluating the proposed technical solutions and recommending appropriate revisions for efficiency and maintainability. Investigates and develops application impact and cost estimates for new tools and models enhancements, providing input into the project work plan. Contributes to measuring application size and effectiveness by participating in function point counting, milestone tracking, and defect tracking initiatives, ensuring assignment completion by the required dates. Assist with the transition of methodologies to Operations or Application Development. Researches, assesses, and facilitates the adoption of new technologies: Contributes to proposals and recommendations of technical innovations, which could benefit our organization. Contributes to the evaluation of new methods and technologies. Qualifications Requirements Bachelor’s degree in computer science or statistics, or equivalent work experience. Minimum of two years’ experience in software development as it relates to data mining or model development. Experience in some of these technologies: C++, Java or any similar object oriented language. Experience with data-intensive applications: SAS, R or Python. Minimum of two years’ experience in software development as it relates to SQL, Java, R or Python. Desire to analyze large data sets, find the truth in data, and develop efficient processes for data analysis. Expert ability to apply analytical and problem-solving skills to solve complex design and coding problems. Advanced knowledge of one or more software development languages and proficiency in the use of utilities, batch processing, and online processing. Advanced knowledge of one or more file access methods and database management systems. Working knowledge of the appropriate operating systems and communication interfaces. Advanced understanding of and the ability to apply software design and testing principles. Good interpersonal skills. ABOUT NIELSEN Nielsen is a global performance management company that provides a comprehensive understanding of what consumers Watch and Buy. Nielsen's Watch segment provides media and advertising clients with Total Audience measurement services across all devices where content — video, audio and text — is consumed. The Buy segment offers consumer packaged goods manufacturers and retailers the industry's only global view of retail performance measurement. By integrating information from its Watch and Buy segments and other data sources, Nielsen provides its clients with both world-class measurement as well as analytics that help improve performance. Nielsen, an S&P 500 company (NYSE: NLSN), has operations in over 100 countries that cover more than 90% of the world's population. Nielsen prides itself on being a place where employees can be themselves, make a difference, and grow their careers with the company. It has been named one of the “Top 50 Companies for Diversity” by DiversityInc for three years running and was selected as one of the “Top 35 Companies for Leaders who want Flexibility” by FlexJobs. For more information visit www.nielsen.com . Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Job : Data Science Primary Location : North America-US-IL-Schaumburg Other Locations : North America-US-FL-Tampa Bay Organization : Data Science Schedule : Full-time Shift : Day Travel : Yes, 20 % of the Time

Spun out of Dell’s Digital Innovation Lab in 2013, Predictive Science has benefited from $40M in total R&D investment to become one of the fastest growing tech startups in the United States. Predictive Science is helping companies such as Verizon, NFL, Neiman Marcus, Dell, VMware and many others unlock the power of their data by creating algorithms that are changing the world. Predictive Science is looking for a Data Scientist who can work with Fortune 1000 companies and other companies around the world to help them take on challenging data problems that can provide high impact results. This is a freelance data scientist position who will work with other senior data scientists to consult with executives and data scientists who are a part of the Predictive Science network. Desired Experience Advanced Experience with programming scripts such as Python, Java, Scala, C++ in Linux/Unix, and R. Preference that you are highly knowledgeable in numerous languages. Experience in creating and implementing machine learning algorithms and advanced statistics such as: regression, clustering, decision trees, exploratory data analysis methodology, simulation, scenario analysis, modeling, and neural networks. Experience with web services such as AWS ,DigitalOcean, Redshift, S3, and Spark. Also the ability to connect data using web API, REST API, and web crawling techniques. Experience with SQL querying and knowledge of PostgreSQL, MySQL, MSSQL databases. Experience in analyzing data from business line data applications and data providers such as Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook Insights, Nielsen, Comscore, Simmons, MRI and etc Experience in visualizing data to stakeholders in a simple and concise manner through visualization software such as ggplot, D3,Tableau Qlinkview, Periscope, Business Objects, or other similar software. Ability to analyze data, draw insights, and prepare reports in a cohesive, intuitive, and simplistic manner to the client. Strong communication skills Excellent organization and prioritization skills About the Opportunity Work with our Data Science team to implement big data solutions for the client Mine massive amounts and perform large-scale data analysis to extract useful business insights Identify actionable insights, suggest recommendations, and influence the direction of the business by effectively communicating results to cross functional groups Job Perks Being part of Predictive Science means more than just working on challenging projects. There are other benefits you will receive as well. Free Conference Passes: Join data science experts from all around the world for amazing learning events. The events are free for Predictive Science network members. Special Offers and Free Products: Predictive Science partners provide special offers and free products for network members. Get your hands on early-release products and get the opportunity to be an influencer. Recruiting Services: Looking to take the next big step in your career? Predictive Science offers headhunting services to network members. You will receive career and resume feedback, and head hunters will help you get placed. Leadership Opportunities: Not getting the leadership experience you want from your current job? Trying to grow your leadership abilities? Predictive Science offers industry leadership opportunities for network members. Continue to expand your skills and build your resume. Network Opportunities: Build relationships with other data scientists, vendors, and company executives. Expand your network and opportunities as you partner with network members on projects. Training: Predictive Science helps you get hands-on experience as a data scientist while you get paid and sets you on a high-growth-trajectory path. Your skills will be challenged all along the way, and opportunities will be provided through conferences and online training to help you learn new skills that will make you more valuable. Time Commitment Predictive Science gives you the flexibility of working remotely and picking what hours you want to work. Already have a job but want to earn more money? Predictive Science can be flexible to accommodate your situation. Want a lot of flexibility? Sign up for a project that pays you per task or per hour. If you want more dependability and a full time commitment, we can provide contractor or full-time position. We Want You to Succeed Predictive Science is committed to helping you grow your career and get the experience you need to become successful. Our goal is to build the largest network of data scientists and place them in the most successful positions. Your skills will be challenged all along the way, and opportunities will be provided through conferences and online training to help you learn new skills that will make you more valuable and get promoted. Additionally, to support your career growth, we have our own recruiting team that works hard for you to find a position either with Predictive Science or somewhere else. No other company cares more about your career progression than Predictive Science. About Predictive Science Predictive Science is the fastest growing data science network focused on building the largest data science platform that can help businesses turn data into actionable results while significantly creating cost savings. Challenging data problems that were too expensive, risky, or resource limited to solve, can now be solved with the help of Predictive Science and its global network of data scientists. Predictive Science is helping companies such as Verizon, NFL, Neiman Marcus, Dell, VMware and many others unlock the power of their data by creating algorithms that are changing the world.

Rocket Fuel is a leading programmatic marketing platform that learns. Through artificial intelligence at big data scale, we optimize performance, awareness, and lift across channels for agencies and marketers. At over 1,000 employees strong, our bold and innovative team continues to reach new frontiers while fueling incredible success for our customers. Are you a dynamic, solutions-oriented and experienced HR professional with exceptional interpersonal skills and a passion to deliver a flawless and exceptional experience for our global workforce? This position is responsible for day-to-day HR operations including on-boarding, employee records and changes, and terminations.

We seek a Computer Scientist with a focus in in applied mathematics, computer science, or information sciences who has a passion for applying their research and development skills to challenging problems. We need people to join a team focused on working with experts in machine learning and analytics across Sandia and universities to adapt and design innovative algorithms. In addition, we are looking for a candidate with strong software design and development skills and experience, with the ability to think broadly and deeply in the design and implementation of software applications and to apply machine learning techniques to enterprise applications, including mobile applications. Successful staff are expected to demonstrate technical leadership and the ability to work with experts across Sandia. The ability to interact and cooperate with a diverse set of colleagues is a strong advantage in this position.

Affectiva is an MIT Media Lab spin-off focused understanding human emotion. Our vision is that technology needs the ability to sense, adapt and respond to not just commands but also non-verbal signals. We are building artificial emotional intelligence (Emotion AI). As you can imagine, such an ambitious vision takes a great team with a strong desire to explore and innovate. We are growing our team to improve and expand our core technologies and help solve many unique and interesting problems focused around sensing, understanding and adapting to human emotion.

NXP Semiconductors enables secure connections and infrastructure for a smarter world, advancing solutions that make lives easier, better and safer. As the world leader in secure connectivity solutions for embedded applications, we are driving innovation in the secure connected vehicle, end-to-end security & privacy and smart connected solutions markets. NXP's Automotive business unit offers sensor and processing technology that drives all aspects of the secure connected cars of today and the autonomous cars of tomorrow. Job Summary: A 2017 summer internship Projects include: Detecting defective product outliers by applying statistical methods and machine learning algorithms to evaluate test data Analyze customer product returns through statistical methods and algorithms to determine preventive actions Develop a compilation of self-checking microcontroller flash tests that can be automated to run in its entirety or individually for bench evaluation board applications Job Qualifications: Working on a BS or MS in Electrical Engineering or Computer Science/Engineering Software: Python and C Solid understanding of Statistics and Machine learning Other skills will be supported through on the job training NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.

Location: US, Central Region OR Toronto, Canada Talend is a 600 employee, recent IPO, big data integration software company with deep open source roots. Well-funded, with over $100 million raised to date and continued rapid growth, Talend is the second largest independent open source company in the world. We are hiring Pre Sales Engineers to continue to build a proactive, customer-facing organization that ensures customers are getting value from Talend's products and solutions. We are seeking Engineers to join the sales team and support the increasing demand from our direct sales. Our portfolio of products has expanded from purely Data Integration to include Data Quality (DQ), Master Data Management (MDM), Enterprise Service Bus (ESB) and Big Data.