דרושים » AI » Research Scientist, Computer Vision & GenAI

We are seeking a Research Scientist to join our Llama Large Language Model (LLM) Research team. We are looking for recognized experts in VLLMs; with experience in areas like vision encoders, data filtering/curation for pre and post-training, RLHF, responsible AI and model controllability. The ideal candidate will have an interest in producing and applying new science to help us develop and responsibly release vision large language models.
AI Research Scientist - Generative AI Responsibilities
Lead, collaborate, and execute on research that pushes forward the state of the art in multimodal reasoning and generation research.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Directly contribute to experiments, including designing experimental details, writing reusable code, running evaluations, and organizing results.
Work with a large team.
Contribute to publications and open-sourcing efforts.
Mentor other team members. Play a significant role in healthy cross-functional collaboration.
Prioritize research that can be applied to our product development.

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 close to $400M 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 Research Scientist - 3D Generative AI to join our talented algo team. As a Research scientist, 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 algorithm s 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 seeking Research Scientists, at all experience levels, to join our Fundamental AI Research (FAIR) team, an organization focused on making research breakthroughs in AI.
Individuals in this role are expected to be world-leading experts in research areas such as ML theory, responsible AI, reinforcement learning, computer vision, audio, and/or NLP.
Research Scientist - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines.
Perform research that enables learning the semantics of data (images, video, text, audio, codegen, and other modalities).
Work towards long-term ambitious research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.

We are looking for researchers and applied scientists to join the Central Applied Science team.
Central Applied Science is an interdisciplinary team of quantitative scientists that aims to deliver research and innovation that fundamentally contribute to our success. By applying your expertise in quantitative methods, you will be empowered to drive impact across a range of products, infrastructure and company operations. Individuals in this role are expected to have expertise and publications within research areas in the board field of machine learning. The ideal candidate will have a passion for building data-driven products and forming research frameworks to solve challenging, real-world problems.
Research Scientist, Central Applied Science Responsibilities
Work with vast amounts of data, generate research questions that push the state-of-the-art, and build data-driven products.
Develop novel quantitative methods on top of our unparalleled data infrastructure.
Learn new tools, systems, and programming languages quickly as required by the particular project you are working on.
Work towards long-term ambitious research goals, while identifying intermediate milestones.
Communicate best practices in quantitative analysis to partners.
Work both independently and collaboratively with other scientists, engineers, UX researchers, and product managers to accomplish complex tasks that deliver demonstrable value.
Publish research results in top-tier conferences and at leading journals.
Actively identify new opportunities within our long term roadmap for applied science contributions.

We are seeking Research Engineers to join Fundamental AI Research (FAIR). We are committed to advancing the field of artificial intelligence by making fundamental advances in technologies to help interact with and understand our world.
We are seeking individuals passionate in solving systems challenges to sustainably accelerate our reach to human-level intelligence. Candidates will have an opportunity to make fundamental advances in systems and apply their ideas at an unprecedented scale. The mission of our CodeGen research is to advance the state of AI through open science innovations. We explore, design, and conduct fundamental research on Code Generation and Computational World Modeling at scale with usability, efficiency, and sustainability as design principles.
Research Engineer, CodeGen - FAIR Responsibilities
Perform research to advance the science and technology of intelligent machines. Specifically, Contribute research that leads to innovations in Code Generation, Code World Modeling, Agentic Code Generation, Math Reasoning, etc.
Perform research that enables learning the code data (images, video, text, code, audio, and other modalities).
Devise better data-driven models of AI code generation systems.
Work towards long-term research goals, while identifying immediate milestones.
Influence progress of relevant research communities by producing publications.
Open source high quality code and produce reproducible research.
Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

We're looking for a AI Research Scientist to join us in spreading our power and push the boundaries of AI in cybersecurity.
You'll be at the forefront of developing novel AI modelsfocusing transformers and LLMsthat advance how cybersecurity operates. Contribute to the wider AI and cyber communities through publications and conference presentations, establishing us as a thought leader at the intersection of AI and cybersecurity.
WHAT YOULL DO
Develop and research novel AI models, focusing on transformers and deep learning. Lead mid- to long-term projects aimed at advancing AI-driven features in the cybersecurity domain for our products.
Conduct experiments and evaluate the performance of AI models, algorithms, and techniques using real-world datasets and simulated environments.
Stay informed about cutting-edge AI methodologies, frameworks, and tools and apply them to improve security solutions accuracy, efficiency, and scalability.
Collaborate with engineering teams to design, build, and maintain production pipelines. Work closely with the Security Research and Product teams to define research goals.
Publish research findings and AI thought leadership content and present at leading conferences such as NeurIPS, ICML, or CVPR.

Fast-growing startup with a mission to use the power of Artificial Intelligence (AI) to get everyone access to higher quality healthcare at more affordable costs. Were looking for mission driven individuals to join our team and help us eliminate healthcare inequalities to build a better and healthier future.

Featured most recently in Forbes and Business Insider as a leading AI startup, a telehealth company that harnesses the power of technology to help provide the smartest digital healthcare platform to patients, hospital systems, and providers across the United States. Our AI powered application helps bring together the knowledge of thousands of doctors and anonymous medical data to provide the highest quality care to our patients. We offer a free symptom checker, 24/7 access to board-certified doctors, ability to refill prescriptions from your phone, and more. All within one application - no insurance or preauthorization required.
was founded in 2016, and has partnered with visionary and leading hospital systems and providers such as Cedars-Sinai, Mayo Clinic, and Elevance Health. Join us on our mission to help provide better healthcare for less.

About the role:
Our data science team is looking for a strong researcher with proficiency in modern AI methods (Computer Vision/ML/ Deep / Gen AI), a passion for innovation and ingenuity in defining and turning theoretical problems into products.
In this role, you will utilize our unique clinical data (tabular, visual and textual) to plan and build game-changing based solutions that will provide immediate medical benefit for millions of people around the world. You will have an end to end responsibility for your models - from ideation and research to full productization and monitoring.
Collaborating in research and production environments, you must have proven experience in researching and developing machine learning algorithms and good interpersonal skills. We highly appreciate independent thinkers and doers.

What you'll be doing:
Lead the research and development of new product features backed by state of the art clinical AI
Develop and advance our AI algorithms to drive our Ks clinics medical workflows - both on provider and patient side
Integrate AI algorithms with ML solutions tailored to a specific clinical need
Design and build scalable and efficient pipelines for data preprocessing, information extraction, and model training
Collaborate with our MLE and AI engineering teams to deploy scalable solutions
Stay up-to-date with the latest AI research and best practices, and integrate them into our products
Communicate technical concepts and solutions to non-technical stakeholder

As a Senior Data Scientist, you will be part of a multidisciplinary AI team, working on AI-driven solutions in audio and text fields. You will apply machine learning and deep learning techniques, with a strong emphasis on Deep Learning for Time-Series Analysis, to develop scalable AI models that directly impact senior care. You will collaborate closely with R&D teams, leveraging real-world data to build high-performance AI solutions. This is an opportunity to tackle complex, real-world challenges, drive cutting-edge AI research, and develop innovative solutions tailored to the needs of caregivers and healthcare providersall within a dynamic, fast-paced environment.

Key Responsibilities:
Develop and optimize data pipelines and machine learning models, with a focus on Deep Learning for Time-Series Analysis.
Take ownership and lead end-to-end delivery, from innovation, experimentation, and research to full development and deployment to production.
Lead research initiatives to solve complex data science challenges, applying deep learning techniques.
Continuously monitor and refine model performance, ensuring high accuracy, efficiency, and reliability.
Work closely with Product, Business, and R&D teams to align AI innovations with company objectives.
Solve non-trivial, non-classical data science challenges using creative and outside-the-box thinking.
Work in a fast-paced startup environment, contributing to the development of cutting-edge AI-driven solutions.

We are seeking PhD Students through fixed-term contracts to join the Generative Modeling Foundations Team within Fundamental AI Research (FAIR).
PhD students in Israel will work in collaboration with research labs at the departments of Computer Science at a university, jointly supervised by academics at these labs and research scientists at FAIR. In the spirit of FAIRs general mission, we expect the work to come out of the PhD, both and the academic partner, to be open science and open source.
Research Assistant (PhD) Responsibilities:
Perform research to advance the science and technology of intelligent systems.
Perform research that improves state of the art of generative models.
Influence progress of relevant research communities by producing publications.
Collaborate and increase productivity on existing research projects.

Join our AI & Innovation group as a Senior Data Scientist to enhance our Data-Science & Innovation team.

The team consists of highly talented individuals overseeing Data-Science, Security Research, Advanced Development and Architecture across all Threat Prevention products and services - Cloud, Mobile, End-Point and Network.



In this role, you'll focus on integrating AI technologies into our cutting-edge products, such as Copilotan AI-driven chat assistant designed for security administrators. Copilot is embedded across most of solutions, providing an exciting opportunity to drive impactful advancements throughout the company.

This position offers a great chance to contribute to the #1 global Cybersecurity Company, deepen your expertise, and leverage the vast data resources available within our Cybersecurity Products.



Key Responsibilities
As a Data-Scientist youll:

Design and develop a novel data-driven solutions that have the potential to deliver game changing results involving advanced AI and Algorithms.
Push the solutions all the way to a large scale production systems. Understand the architectural constraints of such systems and work with a cross-organizational engineering and product team to quickly transition from prototype to a scalable robust implementation.
Enjoy the work and knowledge of Cyber Researchers, Analysts, Fellow programmers and Data-Scientist to deliver machine learning and analytics solutions.
Youll enjoy:

A fun environment where work-life balance is valued.
Exploring THE BEST Cyber Security Data source to be found.
Working in a start-up environment within a corporates stability.
Sharing your day with fun, passionate, brilliant people.