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. Qualifications 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. Additional Information 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