דרושים » הנדסה » Generative AI Engineer

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

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 hiring a highly skilled and motivated Generative AI Researcher to join our talented research team. As a Generative AI Researcher, you will be responsible for developing and implementing cutting-edge multi-modality LLMs to solve complex problems and drive innovation across our organization. You will work closely with data scientists, software engineers, and product managers to design, build, and deploy genAI-powered solutions that enhance our products and services.
A day in the life and how you’ll make an impact: Designing, developing, and implementing multi-modality generative AI models and algorithms utilizing state-of-the-art techniques
* Collaborating with cross-functional teams to define genAI project requirements and objectives, ensuring alignment with overall business goals.
* Stay up-to-date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them into our products and services.
* Publish in high profile venues such as Nature, Science, CVPR, NeurIPS, ICML or similar
* Optimizing existing generative AI models for improved performance, scalability, and efficiency.
* Developing and maintaining AI pipelines, including data preprocessing, feature extraction, model training, and evaluation.
* Developing clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI concepts to both technical and non-technical stakeholders.
* Contributing to the establishment of best practices and standards for generative AI development within the organization
* Providing technical mentorship and guidance to junior team members

We are looking for a Senior Applied Scientist to embark on our journey to build a Prime Video Sports tech team in Israel from ground up. Our team will focus on developing products to allow for personalizing the customers experience and providing them real-time insights and revolutionary experiences using Computer Vision (CV) and Machine Learning (ML). You will get a chance to work on greenfield, cutting-edge and large-scale engineering and science projects, and a rare opportunity to be one of the founders of the Israel Prime Video Sports tech team in Israel.

Key job responsibilities:
We are looking for a Senior Applied Scientist with domain expertise in Computer Vision or Recommendation Systems to lead development of new algorithms and E2E solutions. You will be part of a team of applied scientists and software development engineers responsible for research, design, development and deployment of algorithms into production pipelines. As a technologist, you will also drive publications of original work in top-tier conferences in Computer Vision and Machine Learning. You will be expected to deal with ambiguity! We're looking for someone with outstanding analytical abilities and someone comfortable working with cross-functional teams and systems. You must be a self-starter and be able to learn on the go.

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.

The worlds largest content recommendation platform, is hiring a Senior Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

The worlds largest content recommendation platform, is hiring a Staff Machine Learning Engineer.
What are some of the things you do on a day-to-day basis?
Be responsible for the entire algorithmic lifecycle in the company: data analytics, prototyping of new ideas, implementing algorithms models in a production environment and then monitoring and maintaining them
Turn algorithm prototypes into shippable products that will have a significant and immediate impact on the companys revenue
Work on a daily basis with some of the hottest trends in todays job market: machine/deep learning, big data analytics/engineering and cloud computing
Apply your scientific knowledge and creativity to analyze large volumes of diverse data and develop algorithmic solutions and models to solve complex problems
Influence directly on the way billions of people discover the internet
Work on projects such as Internet Personalization, Content Feed, Real Time Bidding, Video Recommendations and much more
Our tech stack:
Python, Java, TensorFlow, Spark, Kafka, Cassandra, HDFS, ElasticSearch, AirFlow, BigQuery, Google Cloud Platform, Kubernetes and Docker.

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

We are looking for a Machine Learning Engineer to join our Data Science group.
We are a fast-growing company that is building a multi-product platform for eCommerce brands, and the Data Science group is at the heart of our innovative solutions.
Our group works on fundamental challenges within the eCommerce space which span a variety of domains, such as Machine Learning, Deep Learning, NLP, Generative AI, Reinforcement Learning, Recommendation Systems, Computer Vision and more.
You will:
Build data pipelines & large scale solutions based on ML models.
Work with big data technologies (e.g., AWS, spark, airflow, k8s), ML technologies (e.g., pytorch, keras, mlflow) and software engineering technologies (e.g., git, docker, jenkins).
Collaborate with highly experienced developers and researchers.
Constantly learn new stuff.

We are looking for a highly skilled and motivated Senior Frontend Engineer/Architect, to join our team and contribute to the development of our complex and comprehensive Video Discovery platform.

Our platform combines five different products, including a video player, management system, CMS & asset management tool, reporting system, and dashboards.

As a Senior Frontend Engineer, you will play a pivotal role in leading the frontend development efforts and driving the rebuilding of our platform using the latest React technology, integrating multiple products into a modern and user-friendly experience.

Apply now and contribute to revolutionizing the way video content is managed, monetized, and analyzed.

Responsibilities:
Platform Rebuilding: Lead the rebuilding efforts of our platform, utilizing the latest React technology. Collaborate closely with cross-functional teams to ensure seamless integration of the five products and deliver a modern, scalable, and performant platform.
Architecture and Development: Take ownership of the frontend architecture design and development for the rebuilt platform. Work closely with the team to establish best practices, design patterns, and coding standards to ensure high-quality codebase and maintainable architecture.
Technical Leadership: Provide technical guidance and mentorship, fostering a collaborative and high-performing environment. Lead code reviews, ensure adherence to React best practices, and promote continuous improvement.
User Experience Enhancement: Utilize your expertise in React and frontend development to enhance the user experience of our platform. Collaborate with UX/UI designers to create intuitive interfaces, streamline workflows, and optimize overall usability.
Technical Excellence and Innovation: Stay up-to-date with the latest frontend technologies, frameworks, and best practices, with a focus on React. Evaluate and introduce innovative solutions to improve frontend development processes, optimize performance, and ensure scalability of the rebuilt platform.
Collaboration with Technology Leaders: Work closely with other technology leaders, including backend engineers, product managers, and data analysts, to align frontend development efforts with the overall platform strategy. Collaborate on architectural decisions, integration with backend systems, and cross-functional initiatives.
Testing and Quality Assurance: Collaborate with the QA team to establish effective testing strategies and ensure a robust and stable rebuilt platform. Participate in testing activities, troubleshoot issues, and ensure high code quality and reliability.

Our Research team is growing, and we are looking for a Senior ML Engineer to join the team.
Not Your Typical Senior ML Engineer Role
As an ML Engineer, you will play a key role in the challenge of developing our core product using cutting-edge technology and significantly contributing to our data-for-justice revolution. You possess extensive expertise in ML along with a solid foundation in models and infrastructure development.
There is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities:
Apply cutting-edge solutions while leveraging our in-house legal textual database, coupled with rich metadata of various features
Develop scalable models and tools using machine learning to extract information from unstructured text
Analyze and generate insights from legal documents using ML and GEN AI
Develop MLOps infrastructure to support our ML models and pipelines.
Work alongside machine learning experts, technologists, product managers, and legal domain experts from across the organization to solve complex problems.