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SALIN 247 SOLUTIONS
OUR COLLABORATORS
OUR COLLABORATIVE GROWERS
Thank you to all of the growers who helped us with field testing this spring and summer
DAVE KROG
Founder | CEO
B.S. in Agronomy, Iowa State University
Ph.D. in Economics, Iowa State University
Working 7 decades in agriculture
Founded three startups
Two family farm operations
More about me
More about me
SAEED ARABI
Founder | Software Lead
Ph.D. in Intelligent Infrastructure, Iowa State University
Team Lead, Autonomous vehicle, Iowa State University
Autonomous vehicle engineer, SmartAg
More about me
More about me
BEN KROG
Founder | Mechanical Engineer
Staff Scientist/ Engineer, SynderBio
More about me
More about me
MAHMOOD RAMEZANI
Full Stack Developer
M.Sc. in Human Computer Interaction
Full Stack Developer, Nebullam
Full Stack Developer, Handrail
Full Stack Developer, Saltech
More about me
More about me
SHAWN SCHAFFERT
Advisor
Ph.D. in Electrical Engineering and Computer Science, University of California, Berkeley
Working 2 decades in robotics
Founded AI-based analytics startup
Research scientist, MIT computer science and artificial intelligence laboratory
Director of artificial intelligence and data science, GreyOrange
More about me
More about me
DESIGN | DEVELOPMENT
WE CAN HELP
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WHAT WE DO
WHAT WE DO
OPEN POSITIONS
Let’s build the future of agriculture together
A machine learning engineer would have the following responsibilities:
– Develop and implement machine learning models for agricultural applications
– Analyze data from field tests and other sources to inform model development and improve system performance
– Collaborate with cross-functional teams to integrate machine learning models into the overall system design
– Evaluate and compare different machine learning algorithms and techniques to determine the best solution for a given problem
– Debug and optimize machine learning models in real-world scenarios
– Stay up-to-date with the latest machine learning research and technologies
– Participate in field testing to gather data and evaluate system performance.
Job skills and requirements for this position include:
– Bachelor’s or Master’s degree in Data Science, Machine Learning, or a related field
– Strong background in machine learning, including supervised and unsupervised learning, deep learning, and reinforcement learning
– Familiar with programming languages such as Python, R, and MATLAB
– Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn
– Familiarity with agricultural equipment and understanding of farming operations
– Strong analytical and problem-solving skills
– Excellent communication and collaboration skills to work with cross-functional teams
– Ability to debug and optimize machine learning models in real-world scenarios.
* To apply send your resume to “saeed (AT) salin247inc (DOT) com”
A computer vision engineer would have the following responsibilities:
– Design and develop computer vision algorithms for agricultural applications
– Implement image and video processing techniques to extract information and control equipment
– Conduct experiments to improve the accuracy and robustness of computer vision systems
– Collaborate with cross-functional teams to integrate computer vision algorithms into the overall system design
– Debug and optimize computer vision systems in real-world scenarios
– Stay up-to-date with the latest computer vision research and technologies
– Participate in field testing to gather data and evaluate system performance.
Job skills and requirements for this position include:
– Bachelor’s or Master’s degree in Computer Science, Computer Vision, or a related field
– Strong background in computer vision, including image processing, object detection and recognition, and 3D reconstruction
– Familiar with programming languages such as Python, C++, and MATLAB
– Experience with computer vision libraries and frameworks such as OpenCV, TensorFlow, and PyTorch
– Familiarity with agricultural equipment and understanding of farming operations
– Strong analytical and problem-solving skills
– Excellent communication and collaboration skills to work with cross-functional teams
– Ability to debug and optimize computer vision systems in real-world scenarios.
* To apply send your resume to “saeed (AT) salin247inc (DOT) com”
A robotics engineer would have the following responsibilities:
– Design, develop and test robotic systems for agricultural applications
– Integrate hardware and software components to create efficient and effective farming equipment
– Conduct field tests and gather data to inform design and performance improvements
– Collaborate with cross-functional teams to ensure smooth implementation of equipment in farm environments
– Maintain and repair equipment to ensure optimal performance
– Stay up-to-date with industry developments and new technologies to inform design decisions and improve equipment.
Job skills and requirements for this position include:
– Bachelor’s or Master’s degree in Robotics, Electrical or Mechanical Engineering or related fields
– Strong understanding of robotics and control systems, including sensor technologies and autonomous navigation
– Familiar with programming languages such as C++, Python, and MATLAB
– Experience with hardware design and integration, including electrical, mechanical, and control systems
– Familiarity with agricultural equipment and understanding of farming operations
– Ability to conduct field tests, collect and analyze data, and make informed design decisions
– Strong problem-solving and analytical skills
– Excellent communication and collaboration skills to work with cross-functional teams.
* To apply send your resume to “saeed (AT) salin247inc (DOT) com”
