דרושים » מדעים מדוייקים » Senior Deep Learning Algorithm Engineer

At UVeye, we're on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the world's first fully automated suite of vehicle inspection systems. At the heart of this innovation lies our advanced AI-driven technology, representing the pinnacle of machine learning, GenAI, and computer vision within the automotive sector. With over $200M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, UVeye stands at the forefront of automotive technological advancement. Our growing global team of over 200 employees is committed to creating a workplace that celebrates diversity and encourages teamwork. Our drive for innovation and pursuit of excellence are deeply embedded in our vibrant company culture, ensuring that each individual's efforts are recognized and valued as we unite to build a safer automotive world.
We are looking for an experienced Deep Learning Team and Computer Vision Leader with proven capabilities to lead the development of new products from concept to production. In this role, you will be leading a highly talented team, while creating diverse algorithms based on computer vision and deep learning.
A day in the life and how you’ll make an impact:
* Lead a team of algorithm/DL engineers developing novel and efficient computer vision and deep learning algorithms from concept to production
* Combine the proper algorithm method to the problem - computer vision & deep learning respectively.
* Evaluate and benchmark different algorithms on unique proprietary datasets.
* Collaborate with team members to define future technology and features.
* Stay abreast of the latest advancements in algorithmic research and implement best practices in algorithm development

Our Tel-Aviv-based team is committed to spearheading innovative projects using cutting-edge technologies such as Large Language Models (LLM) to create novel hiring solutions for global clients. As part of our team, you'll be at the forefront of our mission, directly influencing the hiring experiences of millions of candidates worldwide.

Sound like your perfect fit? We want to hear from you!

In this role as a Senior Software Engineer, you will:

Dive deep into Large Language Model (LLM) technologies, actively researching and experimenting with new solutions to drive innovation in hiring practices.
Implement practical applications of LLM research findings into end-user-facing applications, creating scalable and impactful tools that directly impact clients.
Adopt lean methodologies to swiftly meet business objectives, swiftly iterating based on client feedback and being unafraid to take risks and learn from failures.
Deeply understand product challenges to make intelligent and efficient software-building decisions.
Collaborate closely with our global R&D, Product, and Design teams located in the US and Vietnam. This role includes the exciting opportunity for international travel once or twice a year, fostering cross-cultural cooperation and growth.

Join the forefront of innovation as a fullstack Generative AI Engineer, where cutting-edge technology meets transformative solutions.
we're not just developing products; we're revolutionizing the accessibility domain with the power of generative AI.
Our mission is to make digital products universally accessible, leveraging the latest advancements in AI technology.
This is your chance to be part of a groundbreaking journey, creating end-to-end products that are not only technologically advanced but will also make the digital world accessible to everyone.
Your Impact & Responsibilities:
Design, develop and implement products that incorporate generative models, knowledge retrieval and task specific prompt engineering
Find creative solutions to bypass existing LLM blindspots and weakness
Research and stay updated with the latest trends and advancements in Generative AI
Deliver solutions to production in collaboration with backend and frontend teams

As a senior computer vision engineer, you will be part of an elite group in the field of AI microscopy and hematology. Our computer vision team is responsible for solving the most challenging tasks in microscopy image analysis. You and your colleagues will research and develop new AI models to analyze thousands of cells, build new infrastructure for on-premise inference, and collect vast labeled data to provide a clinical-grade solution that runs in real time.

Your responsibilities will include:

Continually bringing new knowledge, experience, ideas, and best practices to the team
Implementing AI based on classic computer vision and deep learning, writing clear and efficient code in Python for smooth productization
Continually improving the teams internal research methods and tools
Supporting team members with their research
Take part in defining team data needs
Collaborating with physics, software, and data teams

We are seeking a talented and experienced Data and ML Engineer, youll 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

Were in search of a Prompt Engineer with a Data Science background to join our Tel Aviv-based team and help shape our Large Language Model (LLM) capabilities. In this pivotal role, you will immerse yourself in the world of Large Language Models, diving deep into their intricate mechanisms and potentials. Through your work in shaping prompts and refining conversational AI performance, you'll play a crucial part in elevating the hiring experience for millions worldwide., you'll find an opportunity to explore the exciting frontier of conversational AI, directly influencing its evolution and application. Join us on this transformative journey and let's redefine the landscape of recruitment technology together!

Sound like your perfect fit? We want to hear from you!

As a Prompt Engineer, you will be responsible for developing and refining Large Language Model (LLM) prompts to strengthen and scale conversational AI capabilities. In this role, you will:

Dive deep into the potential of Large Language Models (LLMs), specifically aiming to enhance the conversation quality of our AI-driven hiring assistant. Experiment with different techniques and methodologies to optimize the interaction between users and AI.
Craft, test, refine, and optimize prompts to effectively communicate with existing AI models, aiming for improved clarity, efficiency, security and user satisfaction.
Implement and assess practical applications of LLM research findings in user-facing applications, creating scalable, impactful tools.
Develop scalable testing methods for LLMs, allowing for rigorous and systematic evaluation of different models, parameters, and techniques.
Work closely within our global R&D team to drive the evolution of prompt strategies, fostering a collaborative and innovative environment

At our company everything starts and ends with our mission:
Being the cybersecurity partner of choice, protecting our digital way of life.
Our vision is a world where each day is safer and more secure than the one before.
We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are.
Our Approach to Work:
We lead with flexibility and choice in all of our people programs.
We have disrupted the traditional view that all employees have the same needs and wants.
We offer personalization and offer our employees the opportunity to choose what works best for them as often as possible - from your well-being support to your growth and development, and beyond!
We are seeking a highly motivated and experienced Senior software engineer, passionate about writing tools and implementing new frameworks from the ground.
You will play a crucial role in our mission to prevent, detect and respond to threats across endpoint, network and cloud data in order to ensure the best security our customers.
Your Impact:
* You will be responsible for the complete software development life cycle including requirement analysis, design, development and deployment.
* Take part in integrating the newest features, create tools and frameworks for researchers and working with Big Data pipelines.
* Produce elegant, generic, modular and extendable code.
* Actively influence the processes and methods for researchers.

Additional Information:
The Team:
Our engineering team is at the core of our products and connected directly to the mission of preventing cyberattacks.
We are constantly innovating challenging the way we, and the industry, think about cybersecurity.
Our engineers don't shy away from building products to solve problems no one has pursued before.
We define the industry instead of waiting for directions.
We need individuals who feel comfortable in ambiguity, excited by the prospect of a challenge, and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.
Our Commitment:
We're trailblazers that dream big, take risks, and challenge cybersecuritys status quo.
Its simple: we cant accomplish our mission without diverse teams innovating, together.

Required Algorithm Engineer
Are you a visionary Algorithm Engineer with a passion for leading cutting-edge research and implementing innovative solutions in a production environment? If you have a proven track record of developing algorithms in a fast-paced environment, a knack for NLP, and the ability to inspire your colleagues, we want to hear from you!
Responsibilities:
Lead and conduct advanced research in algorithm development, focusing on automatic knowledge-based understanding, entity recognition, and innovative algorithmic models.
Collaborate with a multi-disciplinary team of researchers, data engineers, software developers, and product specialists to solve complex problems.
Take ownership of major building blocks of groundbreaking algorithmic solutions for the world's first multi-dimensional people-skills-jobs AI product.
Lead selected initiatives, taking ownership of the end-to-end agile process from ideation to production-grade implementation, continuously improving the companys algorithmic products.
Work closely with stakeholders to understand business requirements and translate them into actionable algorithmic projects.

we are on the lookout for a Director Of Infrastructure, one who lives and breathes DevOps & security principles and methodologies, with a developer and business objective mindset.
Role:
Lead, support, and mentor a group of four teams: DevOps, DevSecOps, SRE, and Infra. Currently overseeing 15 engineers, directly managing the team leads of the DevOps and DevSecOps teams, and providing both technical guidance and management leadership
Build a new Site Reliability Engineering (SRE) team that will be in charge of the health of the production environment. This team will be a central part of our production operations strategy, working hand in hand with our Operations team, DevOps, and R&D.
Build an R&D infrastructure team to develop and support applicative infrastructure components such as databases, web servers, logging mechanisms, and any other low-level infrastructure required by the R&D team to achieve their objectives.
Plan the team's roadmap to meet our business objective
Work closely with tech leads to define, design and implement infrastructure needs
Responsible for all DevOps and security areas: infrastructure and cloud environments, CI/CD, observability, SAST, SCA, SSDLC and Cloud Security
Lead a developer/development experience culture make developers more efficient and productive by addressing their pain points, ensuring the reusability of tools among all development teams, maintaining consistent standards for testing and monitoring, and continuously improving developer tools.
Accountable for the architecture and technical leadership of the complete DevOps infrastructure and stack
Implement and maintain security best practices and standards, leading the security issue remediation process as part of the integration with Mastercard
Oversee DevOps tasks, perform code reviews and provide development assistance
Optimize operation efforts and adopt new tools
Design, implement, and continually improve everything the team does to accelerate performance and efficiency
Serve as an escalation point for the team and other stakeholders within the organization
Collaborate closely with stakeholders in designing, implementing, and troubleshooting production services
Recruit new candidates for the team and retain talents

we are seeking a skilled Data Scientist to join our dynamic team.
As a Data Scientist specializing in image analysis and text reading, you will play a pivotal role in developing and enhancing our AI-driven solutions for quick and accurate component inspection in electronic manufacturing.
Responsibilities:
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.