Software Engineer - Computer Vision & Machine Learning

RFA Engineering•Johnston, IA

88d•Onsite

About The Position

RFA Engineering is seeking passionate, talented engineers to work on exciting projects using the latest tools and technologies including robotics, computer-vision, machine learning, IoT, cloud computing, and much more. Collaborate with a team of industry experts onsite at our client's world-class engineering center and contribute to developing innovative solutions that drive sustainable agriculture practices. This is a full-time position with a full benefit package that includes opportunities for professional growth, direct hire by our customers, and additional opportunities within our own organization. RFA Engineering is seeking a Software Engineer in the field of Robotics, Perception, Vision Processing and Machine Learning to architect, develop and integrate new intelligent features into the next generation of agricultural and off-highway equipment.

Requirements

Experience with data visualization, data management, data querying (eg SQL, Tableau, PowerBI, matplotlib)
Experience developing and understanding computer vision and machine learning algorithms (models development in pytorch, tensorflow, experience with linear algebra, optimization etc.)
Ability to quickly learn state of the art technologies, state of the art research in the domains of computer vision, AI, robotics and be able to implement.
Competent in generating, interpreting, and communicating statistical data well and measuring the right statistics to answer the right questions
Comfortability reading documentation to read and write good code
Proficiency in C++ and/or Python.
Experience with Databricks, AWS, cloud
Exceptional work ethic and willingness to learn.
Trailblazing spirit: Eager to solve problems in the autonomous robotics and AI space that have never been solved before.
Passionate about artificial intelligence, machine learning, robotics, autonomy, and automation.
Eager to OWN work fully and to make decisions with autonomy to deliver.

Nice To Haves

Technical expertise matters less in comparison to intelligence, work ethic, and willingness to learn.

Responsibilities

Develop machine learning and computer vision algorithms for automation and autonomy product development.
Design, implement, and optimize machine learning algorithms and computer vision solutions for production intent hardware. Work with Stereo, monocular cameras, Lidar, radar, edge compute devices.
Data collection and processing for CVML algorithms development. Utilize data-driven insights to inform your development process and improve models/algorithms.
Quickly learn new technologies, tools, and methodologies in the fields of computer vision and machine learning. Stay abreast of the latest research and trends, applying this knowledge to your work and sharing insights with the team.
Primary needs relating to theoretical geometric computer vision - involving concepts like singletons, SLAM (localization, mapping), triangulation, projective geometry, feature detection, depth estimation, camera models/calibration/rectification
Secondary needs relating to Machine Learning algorithm development. All aspects of model architecture development including: problem definition, data collection/prep, model selection, architecture design, training , evaluation, optimization, deployment, monitoring/maintenance.