Our partner, Bluewhite, is a Tel Aviv-based world leader in autonomous technologies and unmanned systems. Their solutions aim to optimize operations and productivity in various domains like agriculture, security, and smart mobility and to help their customers adopt new autonomous technologies to improve the efficiency and effectiveness of the existing products & services.

Bluewhite is a team of 140+ professionals composed of autonomous operation experts, system engineers, robotics experts, and optimization & AI algorithms developers.

Bluewhite is building a revolutionary RaaS (Robot-as-a-Service) platform, and on that note, together, we are building a team and looking for a:

AI Applied Researcher

to lead end-to-end research and development of 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.

Your responsibilities:

• Conduct applied research in multi-modal domains to enhance our autonomous capabilities. Specifically, you will be applying SOTA Machine Learning 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 adapting and modifying existing networks or implementing tailor-made networks or, 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

Your profile:

• MSc/PhD in Computer Science or Electrical Engineering with 3+ years of experience
• Solid background 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)
• Experience in conversion and optimizing trained models to accelerate inference environments within embedded HW (TensorRT, Jetson, etc.)

Advantages - these will bring you to our front row:

• C++ programming
• Experience with working in Reinforcement learning, working in simulative environments, and dealing with Sim2Real challenges

Our offer:

• We value work-life balance and have flexible working hours
• Lots of team activities and perks: yearly retreats, workshops, hackathons
• A chance to work with a team of experienced engineers committed to continuous learning, with opportunities for growth through knowledge-sharing sessions and webinars
• Work with an international team of world-class engineers
• Modern, sunny, and open working place with a positive and fun atmosphere.
• A stimulating work experience that will allow you to grow both professionally and personally
• Know someone who would be a perfect fit? Let them know and after the successful probation period come and collect a well-deserved referral fee!