AI Researcher

Bluewhite drives the growth of resilient farms, through pioneering technology, and a friendly user experience. Our vision is to bring sustainable innovation to growers worldwide. The Bluewhite mission is to build resilient farms by maximizing the grower’s productivity and reducing their operational cost. We equip existing fleets with autonomous technology, an easy-to-use platform, and end-to-end service, supporting their journey to a more profitable and sustainable farm. Together, we will Grow Forward.

Are you looking to be a part of a team that impacts the world's future daily? Our team does that every single day. We are a global company located in TLV, Israel, and California, USA, driving the growth of resilient farms through pioneering technology and a friendly user experience.

We are looking for a passionate AI Researcher to lead end-to-end of research and development of our proprietary machine learning-based algorithms for off-road autonomous vehicles. Experimenting, designing a solution, leading a POC, implementing the training pipeline and providing an optimized, production ready AI based solution.

Responsibilities - What You Will Be Doing

• Conduct applied research in multi-modal domains to enhance our autonomous capabilities. Specifically, you will be applying SOTA Machine Learning and Reinforcement Learning techniques for tasks of perception, navigation, and planning This multi-modality includes the full sensory-stack of our vehicles (lidar, cameras, localization sensors, etc.)
• Implement pipelines to achieve robust production level models – from simulative and real data preparation, through implementing tailor-made networks or adapting and modifying existing networks, optimizing learning parameters and evaluating performance
• Deploy trained models to accelerated inference environments using various optimization and quantization techniques
• Take a meaningful part in designing and implementing our Machine Learning infrastructure, frameworks, and evaluation tools
  
  

• MSc/PhD in Computer Science or Electrical Engineering with 5+ years of experience
• Solid background in Machine Learning algorithms in the domain of autonomous systems, with proven experience of RL-based development
• Proficiency in Python programming, experienced working with relevant deep learning and Computer Vision libraries (Pytorch/TensorFlow, Scipy, OpenCV)
• Proven experience with production-level designing and implementation of SOTA algorithms
  
  

• C++ programming
• Experience in conversion and optimizing trained models to accelerate inference environments within embedded HW (TensorRT, Jetson etc.)
• Experience with working in simulative environments and dealing with Sim2Real challenges