Algorithm Test Engineer

Mavrx; San Francisco (CA); On-site; USD 80,000 - 120,000; Full time

Benefits offered by this job

Stock options

Benefits

Job summary

Mavrx in San Francisco is looking for a self-directed engineer/scientist/statistician to develop and maintain test suites for machine vision algorithms. The successful candidate will execute various responsibilities, including automated regression testing and statistical reporting on performance.

Qualifications include a BS or greater in a relevant field and proficiency in programming, especially with statistical analysis tools. This is a full-time salary position with stock options.

Qualifications

• At least 1 programming language proficiency, preferably in statistical analysis.
• Experience with large data sets in a QC setting.
• Familiar with standard image formats and databases.

Responsibilities

• Develop automated systems for continuous regression testing.
• Design tests with algorithm developers.
• Generate statistical reports on algorithm performance.
• Curate and annotate large test data sets.
• Develop annotation tools and manage contract annotators.

Skills

Proficient in a programming language

Statistical analysis

Image processing

Machine vision

Machine learning

Education

BS or greater in math, engineering, physics, statistics

Tools

Matlab

R

JMP

Statistica

SQL

XML

JSON

HTML

Job description

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.

Job Description

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

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

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