Startup Careers

Be a part of our family by contributing to our portfolio companies’ innovation and success. Browse open positions below with Intel Capital portfolio companies.

Machine Learning Research Internship – Apparel Technologies at Incontext Solutions
Chicago, IL, US

InContext Solutions provides cutting edge 3D simulations for the shopper insights industry. Using the latest in game technology, our products let users create life-like shopping environments to visualize and test a variety of store concepts. From signage to new product packing, to interactive displays, we allow our users to completely reimagine retail experiences.

About Our Culture & People

Our company is comprised of people who come together to build amazing products for our clients and partners – to do that, we hire forward-thinking individuals (innovators, thought leaders, disruptors, entrepreneurial-spirited folks) who actively want to contribute to our progressive culture.  We live and breathe our five core values and actively recognize our peers when they go out of their way to do right by them.  We #blaze the trail.  We believe #change is absolutely necessary.  We have the #courage to be vocal.  We cultivate #trust through transparency.  We are #unified.

About Our Engineering & R&D Teams

Our recent R&D efforts are focused on automated content creation in 3D using depth cameras and photogrammetry techniques. The auto-generated 3D content is optimized for retail and VR. The 3D categories include apparel items, shoes, CPG products, etc.

THE POSITION

What You Will Be Doing

We are looking for enthusiastic internship candidates who are interested in:

  • Applying/testing ML models to the problems of 3D modeling
  • Utilizing current ML processes as benchmarks and trying novel ways to improve on existing results
  • Collecting new data for unseen cases and test generalization

Machine Learning Interns will also research 3D model categories recognition utilizing ML methods, 2D images and/or 3D point clouds – as well as conducting research on our existing automated 3D content pipelines.

 

ABOUT YOU

What You Bring to the Table

  • Pursuing BS/MS in Computer Science with a focus in Machine Learning
  • Worked extensively on supervised and unsupervised ML projects
  • Proficient in prototyping ML solutions in Python utilizing Sklearn, Tensorflow/Keras/Caffe
  • Basic knowledge of Javascript and Web development
  • Basic GIT and DevOps skills
  • Curious and enthusiastic about learning and solving multi-faceted technology problems

Preferred Skills

  • Tensorflow
  • Experience with Deep Neural Networks (CNNs/ GANs/RNNs)
  • Computer Vision
  • Multi View Geometry