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