לוח משרות דרושים Deep learning researcher משרה מלאה

We are looking for an experienced and talented Computer Vision Researcher to take part in building our AI products.
The candidate should demonstrate a deep understanding of Computer Vision and Deep Learning. As a Computer Vision Researcher, youll take part in innovation efforts to become the market leader in sports tracking and analytics solutions.

We are looking for an experienced Deep Learning Researcher to join our elite research department. The position aims to explore and implement cutting edge computer vision algorithms in order to solve in the wild problems in the highly challenging environment of physical retail stores.
A day in the life:
Address real-world problems for which no off the shelf solutions exist. Harness the latest advances in multi-view video recognition, foundational models for computer vision, and sensor fusion
Rely on huge data continuously harvested from stores empowered by our system
Collaborate with fellow researchers specializing in an array of different disciplines
Write production-grade code; Work side-by-side with top notch engineering teams in order to integrate your solutions into our system
See the bigger picture; take the system as a whole into account while designing algorithmic solutions.

Develop Large Language Models as part of our applied research projects and in support of Platform, including designing, implementing and training massive-scale deep language models
Implement, optimize, scale and test new cutting edge ideas and architectures
Perform large-scale evaluations and comparisons of trained models across a range of benchmarks, as well as adding support for new benchmarks

We are looking for a deep learning engineer experienced with computer vision to join our DL algorithms Team.
We are dealing with a variety of tasks such as regression, segmentation, classification and detection while editing millions of images every week for professionals, and holding tens of millions edited images by professionals used as datasets.
Responsibilities
Design, development and bring to production novel, robust and efficient deep learning algorithms in the field of computer vision.
Create proofs of concept for new products and technology.
Evaluate and benchmark different algorithms for unique, proprietary datasets.
Collaborate with team members to define future technology and features.

We are on a mission of taking the world into a new future, connecting it, and enabling new ways of seeing it. By the power of curiosity and passion, using technology, and in full partnership - we lead change day by day. Our vision is built by individuals, connected to one another. We are in the business of creating our own reality when its the daily effort that counts for an exciting future, one we wish to live in.

The DNN group is a dynamic and innovative team developing solutions for the development, optimization and deployment of AI (DNN)-based applications. We deal with a wide range of activities and technologies, bound tightly together to form our cutting-edge solutions, integrated with Sony's world-leading image sensor products, and the AITRIOS smart-camera platform. Our vision is to continuously push the boundaries of technology and setting the bar for advanced edge AI (DNN) solutions.

Computer Vision Researcher
We are seeking a highly motivated individual to join our team as a Computer Vision and Machine Learning Researcher. The research team is focused on conducting scientific innovative research for publication on a variety of fundamental AI challenges in vision, as well as serving as an AI knowledge center for the organization. The areas of research include, but are not limited to, inverse problems, watermarking, raw images, domain adaptation, transfer learning and multi-task learning.

The ideal candidate will have a strong background in computer vision, machine learning, and deep learning, with a passion for research and a desire to be a knowledge center for the organization. The primary responsibility of this role is to conduct cutting-edge research in computer vision and machine learning, with a focus on producing high-quality academic publications. The candidate will be expected to lead his research as well as collaborate with other researchers in the team.

Conduct advanced and creative research in computer vision and machine learning to address challenges in different application areas
Collaborate on exploring research directions that align with product vision and have the potential to enhance its development and integration 
Publish research work in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML
Collaborate with other research scientists to brainstorm ideas
Attend relevant conferences and workshops to present research findings and stay up-to-date with the latest trends in the field

Role Description:
Develop and implement deep learning models for autonomous vehicle motion planning, utilizing expert demonstrations. You will design, evaluate, and optimize Machine Learning models for safe and efficient real-world navigation.
Responsibilities:
* Implement, train, evaluate, and deploy deep learning models for autonomous vehicle motion planning.
* Optimize and TEST Real-Time motion planning algorithms.
* Design, conduct, and analyze experiments for both novel approaches and performance improvements.
* Process large datasets, both structured and unstructured.
* Staying up to date with relevant research and projects.

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.

Required Computer Vision Researcher- DNN
Responsibilities
Conduct advanced and creative research in computer vision and machine learning to address challenges in different application areas
Collaborate on exploring research directions that align with product vision and have the potential to enhance its development and integration 
Publish research work in top-tier conferences such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML
Collaborate with other research scientists to brainstorm ideas
Attend relevant conferences and workshops to present research findings and stay up-to-date with the latest trends in the field.

We are looking for a capable and experienced Sr. Deep Learning Engineer to join our R&D team. The engineer will work on devising, developing, and integrating novel deep vision-based Perception algorithms at the heart of our autonomous driving system, with a particular focus on object detection and tracking. This is an opportunity to work on cutting-edge deep vision methods, develop and innovate new ideas, and see them deployed on the road in our autonomous vehicles. Responsibilities:
* Work closely with deep learning engineers and tech leaders across the company, demonstrating flexibility and effective communication in a global, multi-time-zone environment.
* Supervise complex data pipelines, from the collection stage, through annotation, to models training.
* Design and optimize deep neural networks, involving innovative feature engineering.
* Take an End-to End responsibility over medium to long-term projects.
* See projects through from research to deployment.
* Devise and implement performance metrics.
* Communicate, present and visualize results.
* Align the algorithms with the product needs.

We are looking for a talented and passionate Senior Full-Stack Developer to join our Cloud Infrastructure Group, playing a key role in designing and developing solutions that protect our largest global customers. In this position, you will also contribute to the WAF product's UI and management, shaping the user experience for a cutting-edge security solution.

Join a team of creative and driven professionals dedicated to delivering innovative, high-performance solutions that address the ever-evolving threat landscape with unmatched uptime, scalability, and reliability.

Key Responsibilities
Focus on front-end capabilities, delivering solutions in an agile development environment.
Develop and own features end-to-end, from design to production, including CI/CD pipelines, monitoring, and automated testing.
Build and enhance web front-end infrastructure and work closely with design systems.
Understand customer needs and the broader business context to contribute effectively to the teams success.
Collaborate with a winning team spirit to deliver exceptional results.

Were seeking an ML R&D Engineer to play a key role in building and deploying cutting-edge AI solutions. Youll contribute to the full lifecycle of generative AI model development. This includes brainstorming new applications, creating prototypes, rigorously evaluating performance, making improvements, and working closely with a team of researchers and engineers to bring your creations to production. This is a hands-on role requiring strong technical skills and a passion for innovation.

Play a key role in developing and deploying generative AI models.
Ideate, prototype, and evaluate new applications.
Improve model performance to meet production standards.
Collaborate with researchers and engineers.