דרושים » מדעים מדוייקים » Machine Learning - Algorithm Developer

The road algorithm team is responsible for the critical and challenging task of detecting the drivable lanes on the road. We focus on Deep Learning algorithms, classical Computer Vision and Geometric Modeling algorithms. We are looking for an Algorithm Developer to help us advance our technology and push the boundaries of what's possible in autonomous driving.
What will your job look like:
Research and develop state-of-the-art computer vision and deep learning algorithms for ADAS and autonomous driving.
Participate in the entire development cycle, from initial research and prototyping to deployment on real-time embedded systems within the vehicle.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.
Analyze large datasets to improve algorithm performance and robustness.

You will join a collaborative team dedicated to researching and developing advanced neural networks critical to our companys key products. We are recruiting for several teams, offering you the opportunity to work on vision-related tasks such as segmentation, object detection, classification, regression, as well as 2D and 3D vision technologies. In this role, you will be responsible for the full cycle of deep learning R&D, including modeling new solutions, enhancing the performance of existing ones, and participating in innovative, cross-organizational initiatives. This position offers the opportunity to be part of a fast-paced, forward-thinking environment while leading projects with a strong emphasis on cross-functional collaboration, ensuring that our solutions meet the needs of our autonomous vehicle technologies, external customers, and advanced driver-assistance systems (ADAS).
What will your job look like:
Design, develop, and implement deep learning algorithms to solve complex problems in computer vision.
Take ownership of deep learning projects: Compose product requirements, design solutions, oversee execution, and collaborate with talented Algorithm Developers.
Collaborate with cross-functional teams to understand requirements and develop solutions.
Research the latest advancements in deep learning, multi-task learning, AI architectures, and apply them to enhance our algorithms.

we are seeking talented Algorithm Developers for a range of positions focused on shaping the future of autonomous driving and advanced driver-assistance systems. You will develop and optimize cutting-edge computer vision and mapping algorithms that help vehicles perceive their surroundings, detect drivable lanes, and create high-definition maps from large-scale, crowd-sourced data. This work requires creativity, strong algorithmic thinking, and software engineering skills to deliver real-time solutions on dedicated hardware. Join us in making roads safer and driving smarter for everyone.
What will your job look like:
The role combines algorithm development with hands-on software implementation.
The algorithmic development is done in Python and C++, and tasks often require solid foundations in mathematics and geometry.
We work with image-based data and focus on extracting and representing spatial information accurately and efficiently.
You will take initiative in identifying and solving complex algorithmic challenges in a fast-paced development environment.
Collaborate with engineering and research teams in Computer Vision, Machine Learning, and Data Engineering to solve real-life problems.

we are looking for a skilled and driven Algorithm Team Lead to tackle real-world challenges using cutting-edge Computer Vision and Machine Learning techniques. Our work directly supports our companys mission to revolutionize autonomous driving and contribute to saving lives. Youll lead a fast-paced, hands-on team, contributing to the full development cyclefrom early research to deploying production-ready solutionswhile collaborating with teams across the organization.
What will your job look like:
Lead and mentor a team of algorithm developers focused on solving complex perception problems.
Drive the development and implementation of machine learning models for real-world automotive applications.
Focus on algorithmic development with a strong emphasis on Computer Vision and Image Processing.
Work with large-scale data to design, train, and evaluate deep learning models.
Program primarily in Python using modern tools and frameworks.
Research, prototype, and refine new ideas to address evolving perception challenges.

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.

The Core Generative AI team at our company Research is a unified group of researchers and engineers dedicated to developing our generative foundational models that serve LTX Studio, our AI-based video creation platform. Our focus is on creating a controllable, cutting-edge video generative model by merging cutting-edge algorithms with exceptional engineering. This involves enhancing machine learning components within our sophisticated internal training framework, crucial for developing advanced models. We specialize in both research and engineering that enable efficient and scalable training and inference, allowing us to deliver state-of-the-art AI-generated video models.
As a Large Scale Training Engineer, you will play a key role in enhancing the training throughput of our internal framework and enabling researchers to pioneer new model concepts. This role demands excellent engineering skills for designing, implementing, and optimizing cutting-edge AI models, alongside writing robust machine learning code and deeply understanding supercomputer performance. Your expertise in performance optimization, understanding distributed systems, and bug elimination will be crucial, as our framework supports extensive computations across numerous virtual machines.
This role is designed for individuals who are not only technically proficient but also deeply passionate about pushing the boundaries of AI and machine learning through innovative engineering and collaborative research.
Key Responsibilities
Profile and optimize the training process to ensure efficiency and effectiveness, including optimizing multimodal data pipelines and data storage methods.
Develop high-performance TPU/CPU kernels and integrate advanced techniques into our training framework to maximize hardware efficiency.
Utilize knowledge of hardware features to make aggressive optimizations and advise on hardware/software co-designs.
Collaboratively develop model architectures with researchers that facilitate efficient training and inference.

Following the success of LTX-Video, our widely adopted open-source text-to-video model, we are expanding our efforts to develop cutting-edge video generation models and are hiring Research Scientists to join our LTX-Video Core team.
At our company, weve been at the forefront of innovation in text-to-image and text-to-video generation, with LTX-Video driving our flagship product, LTX Studio, and gaining significant traction in the research and open-source communities, including integrations with platforms like ComfyUI and Diffusers.
This role focuses on pioneering model architecture and pre-training algorithms, shaping the next generation of our foundational generative AI models.
What you will be doing
Pre-train and fine-tune video and image generative models to pursue state of the art results.
Publish papers and open-source models to benefit the research community and advance the field.
Design and implement machine learning models for text-to-video generation.
Collaborate with data engineers to curate and preprocess text and video data.
Optimize models for high performance, ensuring efficiency in training and inference phases.
Build new controls and capabilities into generative text-to-video models.
Stay updated with the latest developments in Generative AI, particularly in the field of image, video, and audio.
Work closely with product teams to integrate AI models into applications and services.
Conduct experiments and prototype new concepts to advance the capabilities of our AI tools.

You will be part of our company's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our company's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.

You will be part of our company's REM department. our companys Road Experience Management (REM) is an end-to-end mapping and localization engine which is used for full autonomy capabilities and services. Generating validation process and methodologies for such a technology giant is challenging, sufficient & enriching work. Since we are dealing with a complex system based on machine learning and image processing, the analysis and validation processes require deep thinking as well as advanced technical and analytic abilities. You will be responsible for defining and developing validation infrastructure, tools and methods using cutting edge technology and cloud-based application.
What will your job look like?
Participate in planning and implementation of advanced validation Processes
Define and implement end-to-end validation tools and methods with advanced geometric calculations, logics, and heuristic
Integrating new features into existing Validation Processes
Improving sensitivity, efficiency, effectiveness, and quality of validation processes
Management and prioritization of daily tasks
Integration of tools and algorithms from different departments in the company and applying them into our validation infrastructure.

We're seeking a Developer Advocate to build and nurture the developer community around our open-source model, LTX Video. This role sits at the intersection of technical development, community engagement, and product strategy, requiring someone who can speak the language of developers while fostering meaningful connections within the AI community.
What you will be doing
Establish and manage community presence across key platforms including Discord, GitHub, Hugging Face, and Reddit
Create and moderate technical discussions around model development, implementations, and fine-tuning
Organize and host AMAs (Ask Me Anything) sessions and other educational webinars
Build and maintain relationships with key community members and developers
Identify and recruit beta testers for new features and implementations
Program Management
Develop and manage a community sponsorship program for outstanding contributors
Create documentation and resources to support community development efforts
Track and analyze community metrics and engagement
Establish best practices for community contribution and collaboration
Coordinate with internal teams to align community initiatives with product roadmap.