To apply, you must have the authorization to work within the United States and be returning to school in the fall. We have the vision of a world where each day is safer and more secure than the one before. These aren't easy goals to accomplish – but we're not here for easy. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are. Palo Alto Networks is evolving to meet the needs of our employees now and in the future through FLEXWORK, our approach to how we work. And because it FLEXes around each individual employee based on their individual choices, employees are empowered to push boundaries and help us all evolve, together.

At Edgecortix we are a deep-tech startup revolutionizing edge computing with artificial intelligence and novel high efficiency silicon on chip design. Originating from multiple years of research, our unique AI hardware & software co-design principle and the Dynamic Neural Accelerator AI processor IP are geared towards positively disrupting the rapidly growing artificial intelligence edge hardware space and bring the power of AI and machine learning to all kinds of devices. Our operations are headquartered in Tokyo, Japan, with offices in Singapore, Virginia, and California in the US. As an engineering driven company we are working to define and solve the hardest problems in AI including computer vision, speech, and natural language, geared towards real-time capabilities on small to medium form factor devices. We originated out of multiple years of research, as such at our core we value learning, intellectual curiosity, and self-starters.

The Corporate & Investment Banking Production Management Artificial Intelligence Operations has a mission to change how we support/manage the environment by leveraging new technology like AI/ML. The team applies AI to solve open ended problems that align state of the art AI solutions with enterprise scale challenges. In doing so, the team builds software systems, AI models, technology process and intelligent frameworks that minimize the technology risk, increase operational efficiency and increase the investment efficacy in general. In this particular instance, we are looking for a Data Scientist to join the team whose mission is to combine advanced analytical and quantitative techniques with technology business acumen to serve the technology portfolio of solutions. As a junior level Machine Learning Software Engineer in the Corporate & Investment Bank, you will be responsible for modeling complex problems, discover insights, manipulate terabytes of data and build cutting edge hybrid AI products that solve high impact and big scale problems through statistical modeling, machine learning, visualization and story telling that increases the operational value of our technology portfolio.

Write Python & SQL code to contribute to our internal ML pipeline; Write Python and PHP code to integrate ML outputs from our pipeline into existing tools such as Looker, our A/B testing platform, and email provider; Lead development of our internal ML pipeline’s API; Work with Marketing to implement, optimise, and evaluate ML-based email, acquisition, or nudge campaigns; Help developers, marketers, and product managers understand how to access, implement, and rigorously evaluate and optimise ML-based interventions.

There has never been a better time to indulge in the science and technology of Artificial Intelligence. We are a group of people who love what we do. Our founders have a wealth of experience working on various ground-breaking products including self driving cars, AWS AI services, GMail, Google Docs and flash storage systems. Backgrounds include key roles at Google, AWS, Uber, founding team of a startup which had a billion dollar IPO, and degrees from IIT, Stanford and Dartmouth. We are looking for talented backend software engineers, machine learning software engineers and research scientists to be part of the founding team.

Decisive Analytics Corporation is focused on developing and implementing advanced algorithms for managing large amounts of unstructured and structured data. Whether this data is in the form of text, imagery, video, or audio, we build the machine learning software that enables our customers to extract information from the sea of data produced from a multitude of sources. We are seeking applicants with strong software development skills, and a keen interest in machine learning to join our team. In this role you will have the opportunity to develop state of the art machine learning algorithms and deploy them in the big data stack of Hadoop, MapReduce, Spark, Storm, Accumulo, and Mongo DB. In this role, the successful candidate will have the opportunity to work at an employee-owned company that is consistently rated as one of the best places to work by Washingtonian Magazine and the Washington Business Journal.

TekIQ is a seed stage startup developing AI based apps. We are currently looking for a Machine Learning / software engineer to develop proof of concept for a product idea. This will be an ideal position for someone looking to work on a technically interesting and challenging problem. The position also requires the ability to lead and direct the technology development. Interested applicant should have knowledge of and experience in working with speech recognition modules of commonly used ML libraries.

We are assisting a top international company currently building a Machine Learning and Data Scientist team in Dublin source a number of Software Engineers with proven experience implementing and applying Machine Learning techniques and methodologies in a commercial environment. This is a fantastic opportunity for Software Engineers with expertise in Machine Learning and Cognitive Computing technologies join a new operation with huge expansion plans for 2016/17 and beyond. Bachelor's Degree in Computer Science, Engineering or related field Proven experience in service development (REST, API, Microservices) Familiarity (preferably experience) with some or all of the following technologies: IBM Watson, SAS, Amazon ML, Google Cloud ML, Azure ML Studio Ability to create prototypes in SAS, R, Python, Scala, Java, C or similar stack Data retrieval and manipulation experience: SQL, Hive QL, Python, Hadoop, R, Unstructured Data Strong software design and architecture skills with an eye toward avoiding and reducing technical debt Bachelor's Degree in Computer Science, Engineering or related field This is a fantastic opportunity to join a brand new Software Engineering team within a Global company which is focused on developing and implementing Machine Learning solutions for their business.

We are assisting a top international company currently building a Machine Learning and Data Analytics team in Dublin source a number of Software Engineers with proven experience implementing and applying Machine Learning techniques and methodologies in a commercial environment. This is a fantastic opportunity for a Senior Software Engineers with expertise in Machine Learning and Cognitive Computing technologies join a new operation with huge expansion plans for 2016/17 and beyond. This is a fantastic opportunity to work inside a top international company utilising cutting edge tools and techniques.