דרושים » מדעים מדוייקים » Senior GenAI/NLP Algorithm Developer

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.

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.

Required GenAI Team Leader
As an NLP team lead, you will solve hard business problems using SOTA NLP models, in the realm of text generation, text classification, question answering, information retrieval and more. You will pretrain, fine-tune and deliver to production large language models (LLMs), in multiple languages, and use your knowledge and creativity to answer business problems using real data. Youll also work with the Product team to shape our product roadmap, and contribute to brainstorming sessions on NLP projects.
What youll do:
Lead a team of exceptional NLP researchers.
Teach, mentor, and counsel the team, supporting their growth and professional development
Initiate, plan, prioritize, and manage ML projects, solving a real business problem for the largest sports organizations.
Translate business challenges into ML projects, brainstorm to identify optimal approaches, and conduct hands-on research to integrate data, product insights, and algorithms, generating business value.
Supervise production deployment, monitoring, and continuous learning of NLP models to ensure their optimal performance and adaptability.
Continuously evolve and help others evolve professionally, through joint work and mentoring, contributing to weekly brainstorming sessions, and staying up-to-date with the latest ML developments
Collaborate closely with Product and BizDev teams to align NLP initiatives with business objectives and product strategies.

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.

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.

Together with our customers, were helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary
Product Manager - Generative AI (Prompt)
Dynamic Yield, were on a mission to shape the future of personalization. As a global leader in experience optimization, we help hundreds of brands deliver tailored content and product recommendations to millions of users in real time.

We are now hiring our first Product Manager to lead the development of GenAI-powered experiences. Youll work across multiple product lines to design and implement production-grade prompt architectures, embed AI agents into the user journey, and scale experimentation with cutting-edge LLM tools.

Product Team Member Prompt Engineer

This role blends hands-on AI development with product integration strategy. Youll collaborate with product managers and engineers to design, evaluate, and iterate on generative AI solutions including multi-step prompt chains, agent workflows, and LLM selection frameworks. Your work will shape how personalization evolves across the Dynamic Yield platform.

All About the Role
Bring experience delivering products in SaaS startups or enterprise environments, with a deep understanding of market dynamics, customer needs, and the competitive landscape.
Design and refine context and prompt architectures (e.g., few-shot, chain-of-thought, tool use) that drive our LLM-powered features
Select and evaluate models, frameworks, and orchestration tools (e.g., OpenAI, Claude, LangChain, RAG)
As part of the product team you will collaborate cross-functionally with developers, UX, BI, and Product Marketing to ensure product success across the board
Collaborate with engineers to implement scalable agent-based workflows and integrate GenAI into the product
Partner with Product Managers to define user-facing use cases and influence product direction with AI capabilities
Develop internal tooling and evaluation frameworks to test prompt quality, model behavior, and UX alignment
Act as a thought leader on prompt best practices, model safety, and responsible AI design across product squads

we are a pioneering force in the autonomous vehicles (AV) industry. Join us to build the brain behind the car a large-scale, multi-task neural network that powers the core of our companys autonomous stack. Youll design and train cutting-edge deep learning models tailored for our custom EyeQ chip, tackling end-to-end challenges and deploying real-world solutions. From novel architectures and advanced training techniques to performance tuning under tight constraints, youll work closely with software and hardware teams to turn research into high-impact, production-ready systems. If youre a brilliant, hands-on researcher with a passion for shaping the future this is your launchpad.
Why us?
Our team is at the forefront of our companys most advanced AI efforts.
As a central hub for deep learning innovation, were trusted with designing the core neural network architecture that powers the companys flagship products.
If youre seeking a high-impact role among top-tier researchers and developers this is the place to be.

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.

Were seeking a forward-thinking team leader to lead a growing team building our next-generation Agentic AI Platform. This platform empowers cross-functional teams across the company to design and deploy AI-agent-based products, fueled by cutting-edge advancements in generative AI, cloud-native architectures, and rapid innovation cycles. In this role youll oversee a multidisciplinary team, that includes Full-Stack developers, Front-End /back-end specialists, DevOps, QA Automation, and data scientists. Your mission: scale this team, build a high-performing culture, and own the technical and strategic roadmap for a platform thats core to our AI-first Product Strategy.
What Youll Do: Lead and mentor a diverse team developing a scalable, cloud-based (AWS) Agentic AI platform. Define the technical direction, architecture, and operational standards for the platform. Continuously integrate cutting-edge AI developments into the platforms capabilities. Collaborate with internal product and engineering teams to support their AI-agent use cases. Foster agile processes, engineering best practices, and a high-ownership culture. Scale the team by hiring, onboarding, and mentoring future team leaders as the group expands. Translate business needs into technical solutions with clarity, speed, and quality. Create and own metrics that track performance, adoption, and impact.

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.