לוח משרות דרושים Deep learning researcher, לחיפוש זה נמצאו 13 משרות

Were looking for a talented Applied Algorithms & Operational Researcher to join our innovative team. As a member of our team, you will be responsible for analyzing extensive data, developing new metrics for our customers' vast data sets, and creating tools to classify and analyze the data effectively.
Responsibilities
Conduct comprehensive performance analysis of automotive radar systems, including data collection, processing, and interpretation. Evaluate system performance in various scenarios.
Develop and implement algorithms and tools to process and analyze radar data. Extract relevant performance metrics and provide meaningful insights into system behavior and limitations.
Collaborate with the development team to identify areas for improvement and optimization.
Conduct radar system performance tests and validation procedures. Create test plans, define test cases, and analyze results to ensure system performance meets specified requirements. Identify potential issues, troubleshoot problems, and propose solutions.
Create concise reports, technical documents, and presentations summarizing performance analysis results and recommendations. Effectively communicate findings to cross-functional teams, including engineers, managers, and other stakeholders. Contribute to product documentation and technical specifications.

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.

Were looking for a brilliant Deep learning research engineer to join our Algorithms group.

What will you do?
Be a researcher of the core deep learning algorithms and communicate with other researchers.
Design and implement advanced algorithms to solve complex problems.
Developing the next generation algorithms including different CNN architectures, CV algorithms and algorithms that utilize Physics in complex environment.

A deep-tech startup building real-time vision intelligence systems, is looking for a senior applied researcher to take full ownership of a core domain - from research to production. The company is tackling one of the hardest perception challenges - early detection of low-visibility targets such as drones and vessels. The systems are deployed in real-world environments and have direct impact on safety and life-saving operations.
Responsibilities:
Own a computer vision / AI domain end-to-end - from problem definition to production deployment
Develop new algorithms and improve existing models with measurable performance impact
Design and execute experiments, analyze results, and iterate rapidly
Integrate research directly into production systems and codebase
Collaborate closely with researchers and engineers to deliver real-world solutions

Were on a mission to redefine vehicle safety and reliability on a global scale. Founded in 2016, we have pioneered the worlds first fully automated suite of vehicle inspection systems, with advanced AI at the core, spanning Machine Learning, GenAI, and computer vision across the automotive sector. With close to $400M in funding and strategic partnerships with industry giants such as Amazon, General Motors, Volvo, and CarMax, we stand at the forefront of automotive technological advancement. Our growing global team of over 300 employees is united around a culture of innovation, excellence, and teamwork as we build a safer automotive world.
We are looking for an experienced Research Scientist, Sensing to push our inspection beyond todays sensing stack. You will evaluate, prototype, and develop AI models for new sensing modalities such as thermal, hyperspectral, acoustic, radar, structured light, and event cameras, surfacing vehicle defects that todays systems cannot see.
A day in the life and how youll make an impact
* Survey emerging sensing technologies and identify the modalities most likely to expand our defect coverage.
* Prototype with new hardware, build small-scale datasets from scratch, and train modality-specific models.
* Run controlled experiments that benchmark new modalities against todays inspection stack on shared defect scenarios.
* Develop multi-modal fusion approaches that combine new and existing sensors for stronger detection.
* Recommend which modalities graduate into product and partner with R&D and product on integration.

we are looking for a highly capable and experienced Deep Learning Researcher to lead and develop advanced deep learning solutions for metrology challenges within CTO group.
What you will be doing:
Lead feasibility studies and proof-of-concept investigations for advanced deep learning solutions addressing complex metrology challenges.
Design, develop, and evaluate deep learning infrastructure for early-stage metrology technologies.
Propose and drive new deep learning directions, research ideas, and innovative approaches in collaboration with the CTO group.
Work closely with multidisciplinary teams to translate research concepts into practical metrology solutions.
Stay up to date with state-of-the-art deep learning methods and apply them to novel semiconductor metrology problems.

We are seeking a Senior Deep Learning Researcher for an excellent opportunity! This role provides an outstanding opportunity to engage in groundbreaking innovation and contribute to advancing diffusion-based technologies. You will work with pioneering methodologies and tools, crafting solutions that push the boundaries of AI capabilities.
Joining us means being part of a phenomenal team renowned for its inventions, such as our Cosmos, Llama-Nemotron, Sana, and contributing to impactful work that influences various applications. We offer a collaborative environment that fosters professional growth. You will have the opportunity to collaborate with some of the brightest minds in the field, both within our global network and with leading companies worldwide, making this role perfect for those passionate about advancing AI technology and eager to make a significant impact on the future of the field.
What you'll be doing:
Invent and build ground-breaking techniques for efficient multi-modality model creation and publish the findings in leading journals and conferences.
Combine traditional diffusion technologies with the latest and greatest LLMs.
Contribute to our AI enterprise software to ensure robust and scalable solutions.
Collaborate with internal and external teams worldwide to drive research and development in multi-modal learning, using different professions and resources across the company.
Partner with leading scientific organizations and industry pioneers to remain at the forefront of technological advancements and integrate the latest innovations into practical applications.

We seek a versatile Senior Software Engineer who is passionate about performance optimization and generative AI. Our team brings the latest research in LLM inference - from novel decoding strategies to quantization schemes - into production across Our hardware lineup, from large data center servers to powerful edge devices. We work on the most advanced architectures in the field, with a focus on our own.
What you'll be doing:
Implement and optimize inference algorithms for LLM and omnimodal architectures, including hybrid Mamba-Transformer and mixture-of-experts models
Profile inference pipelines using our profiling and simulation tools. Correlate simulation predictions against real hardware across data center and edge devices
Write and tune GPU kernels (CUDA, Triton) for operators like fused MoE layers, SSM state updates, and quantized GEMMs
Solve distributed inference problems: expert parallelism, communication-compute overlap, collective tuning, multi-node deployment
Build production-grade software inside major open-source libraries - vLLM, SGLang, Dynamo, FlashInfer
Own optimization features end-to-end, from scoping through delivery, collaborating with research, product, and engineering teams worldwide.

Our unique research team is expanding, we are looking for smart and humble team members to join the team and solve complex problems.
Our technical challenges include developing new trading strategies, , improving the performance of our algorithms, finding new ways to beat the markets.
As an ML researcher you will collaborate with our R&D team to execute live trading strategies. If you are looking to make an impact by putting into practice successful ideas and seeing immediately the outcome, make influence on financial performance this is a great opportunity.