DUST Identity: Computer Vision Specialist
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 techniques

  • Develop testing methodologies and reliable analytics

  • Drive the development of new tooling in support of the above

  • Implement machine learning methodologies

  • Effectively communicate needs, challenges, and trade offs, with the rest of the team

Requirements/Experience:

  • Deep knowledge of computer/machine vision fundamentals

  • BS/MS in Computer Science, Engineering, or similar

  • 5+ years successful track record of working on machine vision products

  • Experience writing technical reports, SOPs and documentation

  • Experience with machine learning and classification, filtering, deep learning, segmentation

Skills:

  • Feature extraction using established and cutting-edge deep learning approaches

  • Semantic Image Segmentation

  • 3D feature matching using point clouds photogrammetry techniques

  • Efficient and scalable feature matching for large datasets

  • Python, OpenCV, numpy/scipy/etc., scikit-learn/image, TensorFlow, PyTorchExcellent mathematical reasoning skills; 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

  • Neural networks and associated toolkits for feature engineering

  • 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

Why We Work Here

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!