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. Bluewhite aims to build resilient farms by maximizing the grower's productivity and reducing operational costs. 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 seeking a talented and experienced Data and ML Engineer, you’ll be leading the ML infrastructure and data processing R&D effort, taking a pivotal part in developing our proprietary machine learning-based perception and navigation algorithms.

In this position, you will report to the AI Team Lead and play a key role in a fast-growing team with significant impact and potential for professional and personal growth.

Responsibilities - what you will be doing

• Design, build, and manage the data processing pipelines and solutions used for training and testing of AI algorithms
• Collaborate closely with perception and navigation R&D team members to implement machine learning algorithms and models tailored for high-accuracy offline execution, later to be used for automatic labeling and semi-supervised training
• Profiling, analyzing, and benchmarking of models to identify areas for improvement in terms of efficiency, and accuracy emphasizing aspects of real-time performance on embedded platforms
• Stay up to date with the latest advancements in deep learning foundation models and ML algorithms, data management solutions, and cloud computing advancements
• Collaborate with the data management and cloud teams to guide and build a unified data management solution based on multi-sensors and our various data sources

Requirements - does this describe you?

• BSc in Computer Science or Software Engineering or equivalent degree
• Solid background in cloud-based workflows, acquaintance with existing data management and infrastructure frameworks, and understanding of tradeoffs and limitations of different solutions
• Proficiency in Python programming, experience working with relevant deep learning and data processing libraries (Pytorch /TensorFlow, Pandas)
• Proven experience with designing and building pipelines for Machine Learning projects based on the implementation of SOTA algorithms

Advantages – this will bring you to our front-row

•  Expertise in one or more perception-related aspects of computer vision are a large advantage (SLAM, sensor fusion, intrinsic/extrinsic calibration, 3D reconstruction, etc.
• Experience with C++ and ROS programming