Computer Vision Engineer
Company: Genus PLC
Location: Hendersonville
Posted on: January 27, 2023
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Job Description:
Genus strives to provide beef, dairy and pork producers with
superior breeding stock to enable theproduction of affordable and
nutritious animal protein for consumers. PIC is the swine division
with amission to pioneer animal genetic improvement to help nourish
the world.PIC currently supplies over 70% of the world's top pork
producers. We directly employ people in 18countries worldwide and
our products are available in more than 50 countries across the
globe. We area diverse team, ranging from scientists to sales
teams, production personnel to customer service, andare all united
by a passion for producing nutritious, affordable pork and a
commitment to continuousimprovement.The Computer Vision Engineer
will be responsible for advancing PIC's high-throughput digital
phenotyping platform, leveraging images/video, social network
analysis (SNA), and machine learning. This person will ultimately
be responsible for assisting in and leading efforts that transform
the way phenotypic data is collected and utilized within the
genetic improvement program.Actively identify disruptive and
innovate digital technologies to improve genetic selection
processes or customer success.Solve challenging problems by
utilizing an ecosystem of sensor technology such as video,
infrared, RFID, temperature/RH and others, combined with machine
learning algorithms, to measure animal behavior, physiology, and
health.Engage and collaborate with experts across
multi-disciplinary fields and organizations to drive innovative
technologies.Manage immediate need for technology application
within the business with long-term digital platform vision.Utilize
all evolving digital technologies to assess movement, behavior, and
health in livestockDesign, organize and execute projects that lead
to development of monitoring tools for automatic detection of
behavior, phenotypic and performance traits.Utilize existing and
new RFID technology to improve the efficiency of data
recording.Effectively communicate the status and results of
research projects to stakeholders.The successful candidate will
collaborate with a team of statisticians skilled in prediction
methodologies using AI and machine learning.Anticipates internal
and or external business challenges and recommends process,
product, or service improvements.Communicates complex ideas and
influences others to adopt a different point of view.Advanced
degree in Computer Science, Electrical Engineering, or related
field.A minimum of 2 years of experience in precision
agriculture.Experience applying social network analysis (SNA) to
large-scale datasets that quantify interactions between individual
animals.An understanding of statistics, signal processing, time
series data, and machine learning.Experience building new
large-scale datasets used to train and evaluate deep neural
networks.Familiarity with commonly used methodologies for
evaluating neural network performance, e.g., training, testing,
validation, leave-one-out, precision-recall, mAP.Willingness to
learn and apply new techniques to capture, transfer, and interpret
large commercial datasets.Strong analytical skills with the ability
to efficiently collect, organize, analyze, and disseminate
significant amounts of information with attention to detail and
accuracy.Ability to work in and maintain performance expectations
in a fast-paced environment.Strong project management and
communication skills with the ability to communicate in an
organized and concise manner.Proficient in Microsoft Office and
other relevant software applications, including C, C++, Python,
Java, MATLAB, and R.Ability to travel approximately 15%
Keywords: Genus PLC, Hendersonville , Computer Vision Engineer, Other , Hendersonville, Tennessee
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