
Open since Jan 2015
Algorithm Test Engineer
AI Summary
Develops and maintains automated test suites, annotated datasets and statistical reports to qualify machine vision and biometrics estimation algorithms on noisy aerial imagery for agriculture.
About this role
Mavrx uses aerial imaging to bring the benefits of big data to the $1 Trillion agriculture industry. With our easy-to-use web and mobile interfaces, growers get real-time information on their entire farm without having to physically walk the fields. Using frequent imagery (from drones, planes, & satellites), and proprietary crop-specific analytics, we measure plant health and identify issues before they are visible to the naked eye.
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
Skills
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