DUST Identity: Machine Vision Engineer
1 Grant St
Framingham, MA 01702

Employee Testimonials

Video

DUST is a cutting-edge physical identity technology that provides an unbreakable bond between valuable assets and their digital records. Founded in 2018, DUST Identity is an MIT spinoff, backed by top-tier VCs, that is taking on a vast global market opportunity with government entities and enterprises. We aim high, and need self starters and problem solvers who thrive when challenges are great, and potential is greater.

We are looking for knowledge and experience, but above all care about character and cultural fit.

DUST Identity is an equal opportunity employer.

Responsibilities:

  • Develop machine vision algorithms and solutions
  • Develop performance testing and validation methodologies and reliable performance measures for algorithm evaluation
  • Drive the development of new tooling in support of the above
  • Design and implement machine learning models
  • Effectively communicate needs, challenges, and trade offs, with the rest of the engineering team

Requirements/Experience:

  • Deep knowledge of computer/machine vision fundamentals
  • BS/MS in Computer Science, Engineering, or similar fields
  • 5+ years successful track record of working on machine vision products
  • Experience writing technical reports, Standard Operating Procedures, and documentation
  • Experience with traditional machine learning, as well as deep learning, specifically models used for image classification, filtering, segmentation

Skills:

  • Feature extraction from images using established and cutting-edge deep learning approaches
  • Semantic Image Segmentation
  • Efficient and scalable image indexing and retrieval for large datasets
  • Python, OpenCV, numpy/scipy/etc., scikit-learn/image, jupyter
  • TensorFlow or PyTorch
  • Excellent mathematical reasoning skills; strong foundations in probability and statistics

Extra Credit:

  • Experience with hardware optimization and/or image sensor integration (e.g., DSPs, ASICs, FPGAs)
  • Unsupervised, learning-based feature extraction techniques
  • Sensor error modeling and propagation
  • Ph.D. in Computer Science, Electrical Engineering or a related field

Start Date: Immediately; Must be authorized to work in the United States
Location: Framingham, MA or Princeton, NJ
Compensation: Market Competitive + Stock option plan

Full-time

Employee Testimonials

Ori Spigelman
Head of Product Operations

DUST Identity is a fascinating workplace simply because it is rare for a radically new technology to garner so much real interest from the most significant players in almost every sector where physical goods are made. Walking in each day, I know that my actions will have an impact.

Nicole Canulla
Head of Marketing & Communications

I feel very lucky to have the opportunity to be a part of the DUST Identity team. It's not only an exciting company with a very cool technology (with diamonds at the core!), but it is being built by a team of super passionate, bright and fun people.  As an early-stage startup, DUST Identity empowers employees to not only shape their career paths but also shape the future of the company. There's something incredibly unique and motivating about that! 

Chris Muto
Head of Cloud Services

DUST is an amazing place to work. The team is brilliant, collaborative, and fun; the technology is staggeringly cool; and there is a palpable energy in the office about the impact of what we're doing. Since day one I have been empowered to take ownership and initiative. The team is always open to, and encouraging of, new ideas about culture, process, and implementation. I'm lucky to be a part of it!