Senior AI Applied Researcher

We are seeking a passionate Senior AI Applied Researcher to lead end-to-end 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 for tasks of perception and autonomy. 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 adapting and modifying existing networks or implementing tailor-made networks, optimizing learning parameters, and evaluating performance.
Deploy trained models to accelerate inference environments using various optimization and quantization techniques.
Take a meaningful part in designing and implementing our Machine Learning infrastructure, frameworks, and evaluation tools.

Requirements:

Requirements - does this describe you?

MSc/PhD in Computer Science or Electrical Engineering with additional 5+ years of experience.
Expertise in Machine Learning algorithms in the domain of Computer vision, preferably focused on solving perception problems for autonomous systems. Proficiency in Python programming, experience working with relevant deep learning and Computer Vision libraries (Pytorch/TensorFlow, SciPy, OpenCV).
Solid background in Image Processing, Multiple View Geometry, Linear Algebra and Optimization techniques.
Experience in converting and optimizing trained models to accelerate inference environments within embedded HW (TensorRT, Jetson, etc.).

Advantages – this will bring you to our front row:

C++ programming – major advantage.
Experience developing real-time Localization and Mapping solutions.
Experience with working in Reinforcement learning, working in simulative environments, and dealing with Sim2Real challenges.

About Us:

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.

Bluewhite has 100 employees in TLV, Israel, and Fresno, USA.

Many of our team members, including founders, worked in the Israeli military developing and working with autonomous vehicles – they have brought that knowledge to the global agriculture industry to revolutionize how we farm. Blue white’s diverse team of engineers, farmers, technicians, and field operators holds decades of experience in autonomous technologies, and all follow our core values: Fellowship, love of the land, and innovation. The company has raised $50m with strong investment partners, partnered with top venture capitalists such as Insight Partners, Entree Capital, SVB, and Peregrine Ventures.