Intern Machine Learning, Applied Research (16WD20140)
Come join a small multi-disciplinary team of
designers, engineers, filmmakers, artists and
architects exploring what's important and
interesting in the future of conceptualization,
design, and the making of things.
The Applied Research team speculates on how
technological progress will affect the way in
which people interact with products, machines and
environments, and create prototypes of the
application of these technologies. Our main areas
of focus at the moment are Robotics, Internet of
Things, and Machine Learning, in relation to
advanced manufacturing processes, but we also
expand the field of view to general societal
issues like climate change, sea-level rise, and the future of work.
We work out of the incredible creative workshop
facility at Pier 9 in San Francisco, with a new
lab equipped with a variety of industrial robot
arms, a motion capture system, drones, boats, an
underwater ROV, a kick-ass A/V system, and a
beautiful view of the San Francisco Bay.
We're looking for someone with experience in
computer science and machine learning, who is
interested in exploring how people and
intelligent machines and systems are going to
work together to get things made. You will work
on developing strategies and prototype
applications for IoT and robotics projects that
will likely involve robot arms, generative design
software, sensor input, and vision systems. Your
work will culminate in the production of a
compelling demonstration and documentation that
tells the story of the significance of the work.
About you:
-Strong software development skills, and experience with machine learning
- Experience with robotics
- Experience with some or all of: fabrication,
sensors, animation, CAD/CAM, motion capture, virtual/augmented reality
- Work well in a team – mutual trust,
communication, and following through on commitments
- Are a motivated self-starter
- Can tell us about something you designed or
made that was not a class assignment
- Must be enrolled as a full-time student in an
accredited program in the United States with at
least one academic term to complete post
internship to be eligible for internship participation
To apply please visit:
https://autodesk.taleo.net/careersection/adsk_cmp/jobdetail.ftl?job=16WD20140
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Received on 2016-03-04 11:35:37