דרושים » תוכנה » Senior Deep Learning Researcher

we are a pioneering force in the autonomous vehicles (AV) industry. If you are a bright hands-on developer with a passion for making a difference - join us to make AV a reality.
Which department will you join?
our companys AI algorithms group utilizes deep learning to revolutionize the way an AV understands its surroundings, in real-time. For that, we develop state-of-the-art multi-task deep neural networks to discern vehicles, pedestrians, and roads semantic information, that are trained on massive amounts of video data. These networks are later deployed on our companys SoC, EyeQ, as backbones for multiple AV products.
What will your job look like?
Design, develop, and implement deep learning algorithms for solving complex problems.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Conduct research, evaluate existing models and techniques, and propose innovative approaches to improve algorithm performance and accuracy.
Optimize existing algorithms to improve performance and scalability.
Research latest advancements in deep learning, multi-task learning, AI architectures and more, and apply them to enhance algorithm capabilities.

We are looking for an exceptional Deep Learning Algorithm Developer to join a new and growing team under our company's Algorithms Group. This team is building an internal AI-powered tool aimed at improving product quality by detecting edge cases and long-tail events. Were combining state-of-the-art vision and language models to revolutionize how we test, validate, and stress our autonomous systems. If youre passionate about deep learning and engineering high-impact internal tools- this is the place for you.
What will your job look like:
You will research and develop deep learning algorithms leveraging both vision and language models to automate test case discovery, identify failure modes, and mining hard data.
Youll collaborate with cross-functional teams, including algorithm developers, validation engineers, and infrastructure teams, to integrate tools into real workflows and ensure continuous improvement of our systems.
Youll have the opportunity to shape this role and the direction of the project with your initiativeany innovative approach that drives quality is encouraged.

If you're passionate about deep learning, computer vision, and real-world AI applications, and want to be part of a dynamic, innovative team, this is your opportunity to make a real impact!
What will you do?
Experience with Vision Transformers, Graph Neural Networks, or Autoencoders.
Knowledge of Projective Geometry, SLAM, or camera calibration techniques.
Hands-on experience with NVIDIA Jetson or edge computing platforms.
Familiarity with maritime technology or autonomous systems.

our companys CTO Group is looking for experienced Algorithm Researchers and Developers to join our team! Which department will you join? The CTO Group is a small, elite group, whose goal is to build next-generation algorithmic solutions powering our companys self-driving car, crowd-sourced HD maps, and advanced driver-assistance systems. The group is primarily focused on the decision-making module of our company's self-driving car. It leverages a wide range of algorithmic approaches, rigorous formal definitions, and mathematical modeling- enriched by insights drawn from large-scale data and real-world driving experience. The group is comprised of top-notch developers and researchers and is headed by world-class scientists. This is a unique opportunity for a passionate technical leader to join the CTO Group, work closely with the CTO on next-generation projects, develop POCs using cutting-edge technologies, shape our technology vision and provide thought leadership to our technical community.
What will your job look like:
Research, design and develop innovative algorithmic solutions.
Mathematical modeling and abstraction of real-life problems.
Code design, implementation, and hands-on development.

We are looking for a Senior GenAI/NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Generative AI research we are looking for you!
What youll do:
The teams main focus: NLP & Generative AI.
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.
In addition, part of the role & responsibilities will be:
Design, develop and implement state-of-the-art Generative models, prompt engineering and classical ML/NLP techniques to create high-quality solutions for demanding product-oriented NLP tasks.
Engage in collaboration with product, account, and customer success teams to establish success criteria and convert them into measurable objectives and quantitative measures.
Conduct training and evaluation of models within practical production scenarios.

We are looking for a Computer Vision / Deep Learning Algorithm Developer to join us in research and development of our next-generation automatic sports video content generation engine. If you are passionate about researching state-of-the-art solutions for video content creation we are looking for you!
What youll do:
Research and develop end-to-end real-time solutions for sports content generation using state-of-the art deep learning algorithms for video, audio, and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.

We are looking for a NLP Algorithm Developer to join us in research and development of our next-generation automatic sports video content engine. If you are passionate about state-of-the-art NLP and Multimodality AI research we are looking for you!
What youll do:
The teams main focus: NLP & Vision
Research and develop end-to-end real-time solutions for sports content automation using state of the art deep learning algorithms for text, speech, audio and data analysis.
Full R&D cycle, from problem definition and research to implementation and productization with a high level of autonomy.