Deep Learning Engineer
Job Description:
Join our team and experience Workday! It's fun to work in a company where people truly believe in what they're doing. At Workday, we're committed to bringing passion and customer focus to the business of enterprise applications. We work hard, and we're serious about what we do. But we like to have a good time, too. In fact, we run our company with that principle in mind every day: One of our core values is fun. Job Description What you will be doing? Do you enjoy solving computer vision problems such as Optical Character Recognition (OCR), object detection and recognition, image classification, and visual question answering (VQA)? Do you love learning and trying out new state of the art machine learning and deep learning algorithms? Are you passionate in building computer AI products and applications? You will work on problems and data sets across Workday enterprise products: expense receipts, invoices, resumes, academic transcripts, learning videos, survey responses, just to name a few. You will design and build AI products that will impact millions of users, on both mobile and desktop. In addition to projects, you will be able to learn from fellow top notch machine learning engineers and data scientists, follow and share cutting edge research, publish academic papers and file patents. What you should have. Understanding of state of the art deep learning techniques Solid understanding of CNN, RNN, supervised and unsupervised learning, optimization techniques Experience with one or more deep learning frameworks such as Caffe, Theano, Torch, TensorFlow, DL4J Experience using GPU programming such as CUDA or OpenCL is a plus Proficiency in at least one high level programming language such as Python, C++, Java, or Scala PhD/MS in Computer Science, Electrical Engineering or a related field (mathematics, physics or computer engineering), with a focus on computer vision and/or deep learning Excellent written and verbal communication skills Take a look at the videos below for a view into Deep Learning applications at Workday! Meetup Video 1: Deep Learning in Production with Skymind and Workday, Part 1: Walk through Deeplearning4j (DL4J) In this talk, Jim Stratton, VP of Software Engineering at Workday, gives an introduction of Workday's machine learning and deep learning initiatives. Then David Kale of Skymind presents a walk through of DL4J, one of the promising deep learning frameworks that's been gaining traction in production environments. Meetup Video 2: Deep Learning in Production with Skymind and Workday, Part 2: DGX-1 AI supercomputer preview In this talk, Leo Tam of NVIDIA previewed DGX-1, the world's first purpose-built system for deep learning. About Workday Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday. Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, or sexual orientation. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us.Estimated Salary: $20 to $28 per hour based on qualifications.
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