We are looking for an experienced Algorithm Engineer to join our Vision Processor Unit (VPU) algorithm team.
In this role, you will be responsible for developing and optimizing both traditional image processing algorithms and AI-based solutions. You will take part in the full lifecycle of algorithm development, from research and prototyping to real-world implementation and optimization for high-performance systems.
Responsibilities
Develop and optimize image processing algorithms, including both traditional methods and AI-based approaches
Implement algorithms efficiently, ensuring high performance, scalability, and robustness in production systems.
Conduct performance analysis and identify areas for improvement in both algorithmic efficiency and system integration.
Work closely with cross-functional teams, including software engineers and system architects, to ensure optimal performance of algorithms on target platforms.

a leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our algorithmic scope and products. This is your chance to be part of a groundbreaking company at the forefront of automous driving, safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.

As an algorithms developer, you'll be at the forefront of creating and optimizing advanced algorithms for autonomous driving - creating a perception for the 3d world, and performing actions to make your way in this environment. This is a hads-on role, involving machine-learning, mathematical modeling, control-theory and algorithmic solutions to a varietly of problems, all to ensure our systems perform flawlessly in real-world conditions.

Youll collaborate with cross-functional teams to decide on the correct data, create algorithms, and act as a technical expert during developement and testing. Your contributions will directly impact the abilites of autonomous driving technologies.

Responsibilities
As an algorithms developer, you will be responsible for:
Write algorithms to improve our 3d perception of the environment, such as computational geometry, object detection, tracking and prediction
craft new evaluation methods to measure the effect of your models
Diagnosing and solving algorithmic issues that are affecting our performance.
work with large amounts of data, taking part in data-pipeline designs
take ownership of the developement life-cycle: defining the target kpi's, developement and testing, release and integration
extract insights from large amounts of data, contributing to the developement decision making process.
Integrating algorithms with existing frameworks in collaboration with cross-functional teams.

We are now hiring a Senior Deep Learning Researcher, with experience, skills, and data-driven reasoning to take a leading role in solving our core data science challenges. To meet these, you will be expected to exhibit outside-of-the-box thinking and leadership skills, while collaborating with the engineering, hardware, data, and field application teams.

As a member of our ML team, you will tackle unique challenges in the domain of Optical Fiber Sensing. Fiber Sensing measures the acoustic signal along an optical fiber and is interpreted as a continuous acoustic signal originating from tens of thousands of microphones spanning hundreds of kilometers. You will cultivate a deep familiarity with this domain and research novel Deep Learning approaches that address domain-specific challenges in detecting, classifying, and tracking spatiotemporal events.

Responsibilities:
Spearhead deep learning projects that tackle real-world challenges, pushing the boundaries of what is possible.
Harness advanced data analysis and visualization tools to gain insights from complex real-world data.
Proactively seek new directions for tackling hard-to-crack problems, including devising real-world experiments and data collection, and collaborating with fellow physicists and engineers.
Develop multidisciplinary expertise in physics, engineering, and other adjacent expert fields.
Stay at the forefront of your field with continuous learning and in-depth research into cutting-edge topics.
Thrive in a dynamic setting where rapid prototyping and fast-paced project turnovers are the norms.

a leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
As a Principal Deep Learning Engineer & Team Lead , you will be responsible for designing and implementing state-of-the-art deep learning algorithms that support our vision-based projects. You will collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions. Additionally, you will analyze and optimize neural network architectures for speed, accuracy, and robustness, and stay up-to-date with the latest research in the field to bring new ideas and techniques to the team. Your role will also include mentoring junior team members and contributing to the growth of the team's skills and capabilities.

The ideal candidate should have a strong background in deep learning, machine learning, and programming, with a proven track record of developing and deploying successful deep learning models.

Responsibilities
Develop and implement state-of-the-art deep learning algorithms for computer vision applications in the automotive industry.
Collaborate with cross-functional teams to solve complex computer vision challenges and deliver high-quality solutions.
Analyze and optimize neural network and SOC architectures for speed, accuracy, and robustness.
Stay up-to-date with the latest research in the field and bring new ideas and techniques to the team.
Mentor team members and contribute to the growth of the team's skills and capabilities.
Work with co-architect on creating new NN from scratch and leading the team technologically

looking for a brilliant, independent AI Software Developer to join our CTO office!
a SaaS B2B solution that tackles one of the biggest challenges in financial departments: the overflowing amount of data that, up until now, was managed by tons of Excel sheets. All those financial reports, forecasts, expenses, analytics? takes all this data and integrates it into a one, simple, smart report. It consolidates the information, enables the finance professionals to follow it, manage it, and create the ever-needed order within the realm of finances. If this isn't enough, it enables thorough analysis of consolidated data for the creation of business and financial insights. Its cloud-based, so nothing gets lost, its brilliant, so almost every feature can be added.

What You'll Do
Own end-to-end development of backend features, from design through implementation to deployment and monitoring.
Work closely with Product, Data Science, and other cross-functional teams to deliver AI-powered features and solutions.
Take initiative to identify and resolve blockers across teams to ensure smooth and timely delivery.
Design and implement robust, scalable, and maintainable backend services in a microservices architecture.
Write clean, efficient, and testable code, and participate in code reviews and design discussions.
Contribute to improving development processes and engineering best practices.
We offer a supportive, agile, creative work environment with brilliant colleagues!
Competitive compensation, ongoing recognition, and a chance to learn, contribute, and develop your skills.
Opportunity to join an explosive industry, a successful and growing organization, and an unmatched leadership team passionate about their employees!

A leading AI Company in the Automotive Industry, is expanding! Following recent major design wins with leading global OEMs, we're scaling up our operations and innovation efforts. This is your chance to be part of a groundbreaking company at the forefront of automotive safety and intelligence.
We are looking for passionate individuals who want to make a real impact, working on state-of-the-art AI solutions that save lives and transform the driving experience. Join us in shaping the next generation of automotive technology.
Responsibilities
As part of the algorithm team for the next generation of autonomous driving, you will:
Understand deeply, implement, train, and evaluate recent state-of-the-art algorithms in computer vision (e.g. object detection, semantic segmentation, self-supervised learning, vision transformers) for various domains, including ground-view images and satellite/aerial images.
Adapt algorithms into robust and scalable production-ready algorithms. Write clean and efficient code, ensuring compatibility with existing systems and frameworks and real-time needs. Take full responsibility for your algorithms end-to-end until deployment on the edge device for production.
Develop and implement new computer vision algorithms (architectures, loss functions, post processing, training and evaluation methods) that surpass SOTA algorithms and achieve desired performance levels in our domain.

We are looking for experienced, creative and impact-oriented Algorithm Developers to join our team!

As an Algorithm Developer you will be responsible for building state of the art algorithms powering LLMs and agentic frameworks. You will be part of a multi-disciplinary team that also includes engineers and product professionals, all working together to bring our products to life.

You will take part in the full life cycle of our development process, deeply understand the problem we are solving, come up with algorithmic approaches for solving these problems, devise strategies for collecting necessary training data, train and evaluate large language models and other machine learning models and also be in charge of deploying these solutions in production.

Role and Responsibilities
Build the algorithms that power our various products
Develop production-grade solutions to challenging product-driven NLP tasks by combining language models, RL and classical ML/NLP.
Collaborate with product, sales and customer success teams to define success criteria and translate them into quantitative measures and objectives
Devise innovative strategies for collecting training and evaluation data
Train and evaluate models in realistic production scenarios
End-to-end ownership of the algorithmic components of our products, from design, through implementation and monitoring in production

As a Tech Leader in the AI Algorithm Engineering group, you will play a pivotal role in both managing end-to-end AI research and development efforts and hands-on involvement in key-initiatives. Your responsibility will include design, implementation, guidance and mentoring for team members, and representing the AI considerations in cross-team discussions. You will leverage your extensive experience to lead multiple AI projects, and will be a key figure in leading successful execution and in finding creative solutions to difficult bottlenecks, across data, AI, engineering and product considerations.
Responsibilities:
Lead the design, development, and implementation of accurate and robust AI algorithms for medical data with a hands-on approach.
Collaborate with cross-functional teams, including data scientists, software engineers, product managers and clinical data experts, to ensure AI considerations have a profound impact on R&D and Product decisions across the projects.
Design and conduct research and experimentation to improve algorithm performance and accuracy.
Stay at the forefront of the latest advancements in AI and machine learning, particularly in the medical domain, and drive their adoption within the team.
Oversee multiple projects, ensuring successful execution, timely delivery and alignment with product and business objectives.
Provide strategic direction and technical mentoring to elevate the capabilities of the AI team.