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Machine Learning Research Engineer
Autodesk
San Francisco, CA, United States
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Description
Autodesk’s Applied Research team within the Digital Manufacturing Group focuses on researching how new technology might be incorporated into future manufacturing product offerings. We work collaboratively with customers and our product teams to develop projects in four key areas: machine learning, virtual reality, internet of things, and simulation. We’re a small, fast-paced, multidisciplinary group that are intensely curious and passionate about the impact of new technology.
We are looking for a skilled and energetic Machine Learning and Deep Learning expert to join a brand-new lab developing the next generation of machine learning technology for the manufacturing industry.
As a part this team, you will work in the Autodesk AI Lab applying machine learning to unique data sets such as: 3D geometric data; fluid dynamics simulations; time series sensor feedback data, and point-clouds. Our Lab utilizes cutting edge Machine Learning techniques to help our customers design, simulate and physically create the world around us. The Lab is located at our Pier 9 Workshop, where you’ll be surrounded by innovative makers and designers and see first-hand some of the challenges that need to be solved.
In this role, you will pioneer the technology that will be the backbone of this next generation of design and manufacturing software. You will work closely with Autodesk Research and product engineering to develop and test machine learning models for new AI based products. You will engage with the problems our manufacturing customers face, identify areas that AI will be most impactful, and develop prototypes for these AI solutions.
Job Title: Machine Learning Research Engineer
Job ID: 16WD21950
Location: San Francisco, CA
Requirements:
• Familiarity with various statistical and machine learning techniques including: classification, regression, dimension reduction, regularization, clustering and various multivariate methods.
• Experience in some Deep Learning techniques such as: CNNs, RNNs, and various generative networks.
• Practical experience implementing algorithms from the above areas including: data preparation, hyper-parameter selection; acceleration techniques; and optimization methods
• Good understanding of fundamental CS algorithms and their scaling behaviors
• Ability to quickly learn new tools and understand new areas of data
• Can work closely with engineering teams to gather and process data and surface new AI based features in core products
• Knowledge of some of the standard deep learning frameworks such as: TensorFlow, Theano, Caffe, TORCH, etc.
• Good coding skills covering procedural as well as data-analytics oriented languages. (Such as: Python, Scala, R, etc.)
• Good communication skills and an awareness of how to communicate data and results effectively
• Comfortable working in newly forming ambiguous areas where learning and adaptability are key skills
Preferred Qualifications:
• MS or higher in the field of Math, Statistics or Computer Science with a focus on Machine Learning
• 3 years of work experience related to the above; or extensive experience working in these fields as part of a graduate or doctorate program
• Experience in parallel distribution of algorithms using platforms such as: Spark, Hadoop, etc.
• Practical experience in developing high scale machine learning algorithms
As a global leader in 3D design, engineering, and entertainment software, Autodesk helps people imagine, design, and create a better world. Autodesk accelerates better design through an unparalleled depth of experience and a broad portfolio of software to give customers the power to solve their design, business, and environmental challenges. In addition to designers, architects, engineers, and media and entertainment professionals, Autodesk helps students, educators, and casual creators unlock their creative ideas through user-friendly applications.
Autodesk is ranked #8 on Fortune's annual list of the 25 best global companies to work.