What you will Do

• Build CV and image-based neural network models for anomaly detection, classification, identification, segmentation, and more.
• Help manage and iterate on our CV/ML pipeline.
• Integrate perception models with other modalities, including radar, lidar, and IMU.
• Translate perception products into usable features seen by both internal teams and customers around the world.
• Rotate with and learn from all other teams, including farming and tractor operations
• Attend company-wide Lunch and Learn talks
• Have access to all the tools you need to do the best work possible
• Control your own destiny with respect to modeling and algorithm design
• Be encouraged to invent, to think outside the box, and to get as creative as you need to be
• Build AI for good in the truest sense - your work will run on tractors around the world and make an immediate impact on food production and food supply for all of humanity
• Get to drive a tractor! For real. They're huge. It's pretty amazing.

Who you are

• Graduate degree (MS or PhD) in Computer Science, Electrical Engineering, Mathematics or Physics or related field.
• 4+ years of experience in AI and Machine Learning in industry and/or academia.
• Strong skills in programming languages, such as Python and C/C++.
• Experience using two or more of the following frameworks: OpenCV, TensorFlow, MXNet, PyTorch, numpy, scikit-learn.
• Knowledge of low-level image analysis techniques such as FFT, wavelet analysis, edge detection, and feature encoding.
• Knowledge of standard DNN architectures including CNN, RNN, LSTM and techniques including semantic segmentation and transfer learning.
• Knowledge of statistical methods such as kernel density estimation, Bayesian methods, and probabilistic learning techniques.
• Proven experience in commercializing computer vision, machine learning, or deep learning solutions.
• Strong record of delivery, ability to handle multiple competing priorities in a fast-paced environment.

Nice to Have

• Experience coding with matrix-based operations and/or parallelizing algorithms using CUDA.
• Knowledge of decision theory and signal detection theory, including dynamic threshold estimation and ideal observer analysis.
• Experience with motion capture and structure from motion.
• Experience with hyperspectral imaging and/or remote sensing.
• Ability to explain network architectural decisions without using jargon.
• Strong communication and presentation skills.
• Strong attention to detail
• Ability to code your own algorithms from the ground up without relying on libraries, toolboxes, or frameworks.
• Research science publication background with a track record of thought leadership and contributions that have advanced the field.

Benefits we Offer

• Competitive compensation package
• Flexible Schedule
• Flexible Time Off
• 401K with company match
• Employee insurance premiums paid at 90% for employee coverage and 80% for employees with dependents
• Health & Wellness Stipend
• Cell Phone & Internet Stipend