About this role
We are looking for a self directed, critically minded engineer/scientist/statistician to develop and maintain test suites for a line of machine vision and biometrics estimation algorithms.
Responsibilities include
Develop automated system to run continuous regression tests against ground truth annotated images. Work with algorithm developers to design tests that qualify algorithms to perform in a robust and well characterized manner on real world noisy images. Generate statistical reports highlighting failure modes, frequencies, error distributions, etc. Gather, curate and annotate large development and test data sets. Work with domain experts to understand proper annotations and target values. Develop annotation tools. Annotate some data and manage contract annotators. Exploit opportunities for automation using simulators, approval of algorithm generated annotations, etc. Write simulations; de novo and various simulated distortions and corruptions of real data. Instrument algorithm code, white box testing. Aid in the design of metrics that indicate algorithm failure.
Education:
BS or greater in math, engineering, physics, statistics, etc. Required Experience:
Proficient in at least one programming language, ideally a statistical analysis language like Matlab, R, etc. Desired Experience:
Statistically analyzing large data sets, ideally in a QC setting. Skilled with JMP, Statistica, SAS, or similar. Image processing, Machine vision, machine learning. Estimation theory. Familiarity with various standard image and data formats, databases. SQL, XML, JSON, HTML, etc. GIS, remote sensing. Position Details
This is a full-time salaried position with stock options and benefits.
How to Apply
Please send the following to jobs AT mavrx.co
Tell us why you’re interested in Mavrx.
Your CV/resume