Build the Path Forward

At Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another. 

We are looking for a Machine Learning Engineer who is eager to find novel solutions and methods to solve challenging problems. You will report to the Engineering Manager of AI/CV/ML and will join a team of dedicated, supportive, and enthusiastic people to help create the future of manufacturing. Come solve the hardest problems with the best team on the planet!

What You’ll Do

  • Design and apply machine learning algorithms for improving robotic intelligence.
  • Create and apply new approaches to solve computer vision problems in image and 3D data domains, signal processing, reinforcement learning, offline and online motor control and path planning.
  • Develop new machine learning algorithms to improve rate of learning, generalizability, variable reduction, increase run-times, or improve applicability to different modalities of data.
  • Run machine learning test and experiments, and perform statistical analysis 
  • Collaborate with software and hardware teams to build data and model pipelines 
  • Stay up-to-date with new research and novel findings in machine learning 

Who You Are

  • You have 5+ years of experience working with machine learning algorithms
  • You have an advanced degree in in computer science, mathematics, or related discipline involving computer vision, machine learning or artificial intelligence
  • You have 2+ publications with a focus on computer vision, deep reinforcement learning, or related
  • You have research experience that may include deep learning, computer vision, reinforcement or active learning 
  • You understand Tensorflow, Theano, or Caffe and GPU-based computation in general
  • You have proficiency in Python or C/C++
  • You have experience with common image or vision processing libraries (OpenCV or PCL)
  • You are excited by the opportunity to be a part of a venture-backed startup early on, where your work will have an immediate and direct impact
  • You are passionate about what you do and enjoy working in a collaborative environment
  • You like the idea of working at a tech first company with all the perks that go with that- free lunch, unlimited time off, team events, and great benefits

Who We Are

At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

*To continue to keep our team safe as we navigate the pandemic, we are requiring all in office staff to submit and validate their vaccination status.

Why You'll Love It Here

  • Free lunch every day
  • Flexible PTO
  • Medical, Dental and Vision insurance with 100% coverage on monthly medical premiums for you and any dependents (nothing comes out of your paycheck!)
  • 6 weeks 100% paid parental leave plus an additional 6-8 weeks maternity leave for the
    birthing parent (12-14 weeks total)
  • 401K through Empower
  • Paid Referral Bonus

Job Type: Full-time

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We'd like to know a little more about you. Answering these questions is completely voluntary, but we'd be forever grateful since the information will help us evaluate and improve our recruitment and diversity efforts. Whether or not you decide to answer the questions will not affect your application with us. Any information you submit here will be kept secure and confidential and has no effect on your opportunity for employment. 

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