לוח משרות דרושים Deep learning researcher, לחיפוש זה נמצאו 14 משרות

We are looking for a highly motivated Algorithm Intern to join our cutting-edge AI team. This is a unique opportunity to work on real-world deep learning challenges, contribute to production-level systems, and collaborate with top-tier engineers and researchers.

This is a full-time, 3-month internship, with the potential to transition into a full-time Algorithm Engineer position upon successful completion.

Responsibilities
Design, implement, and improve deep learning models.
Work on real-world AI problems using large-scale data.
Collaborate closely with experienced engineers and researchers.
Run experiments, analyze results, and optimize model performance.
Take ownership of projects and drive them forward independently.
Stay up to date with the latest trends in AI and deep learning.

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.

Rail Vision is a multidisciplinary company headquartered in Ra'anana. We are the leading provider of obstacle detection & classification systems in the railway industry around the globe, supporting Autonomous Train Operations. With our unique cognitive sensor fusion technology, based on advanced electro-optic sensors and deep learning, Rail Vision systems detect objects and obstacles on and along the tracks from up to 2 k”m away, in real-time, and in diverse weather and lighting conditions. We provide systems capable of operating in various environments: On mainline and high-speed rail, in urban environments, and in challenging switchyards. Rail Vision offers a range of complementary features based on collected and analysed data: Image-based Navigation, GIS Mapping and Predictive Maintenance. We’re looking for an experienced Deep Learning & Computer Vision research engineer to join our Algorithms group. What will you do: Be a researcher of the core deep learning algorithms and partnering with other teammates. Developing our next generation 2D/3D perception models that utilizes CV in complex environment. Work across full ML cycle: data, design, train and debug, solvIng complex problems that aligned to customer KPIs.

We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact.
Responsibilities:
Develop and implement state-of-the-art econometric and machine learning models for demand forecasting.
Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability.
Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production.
Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives.

We are looking for a highly capable and experienced Deep Learning Researcher to lead and develop advanced deep learning solutions for metrology challenges within our CTO group.
Responsibilities
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're looking for a Senior Algorithm Developer with a strong algorithmic background in both classical and deep learning methods.

What Youll Do
Develop, release and improve algorithms and models for recommending the best machining operations that balance customer valued KPIs such as machining time, machining tolerances and tool wear.
Dive deep into the CNC machining domain to cultivate intuition to inform your algorithm development decisions.
Collaborate with the Product team to discover and drive improvements in our human-AI interface.
Own your models in production. Validate your solutions against real-world machining scenarios and customer parts.
Research novel approaches to continuously improve our core technology.

We are looking for an experienced Senior Deep Learning Engineer with proven capabilities to lead the development of state-of-the-art computer vision products from concept to production. In this role, you will be a part of a highly talented R&D team driving the core of inspection portfolio, while researching and implementing diverse Machine and Deep Learning algorithmic solutions to solve complex, real-world visual challenges.
A day in the life and how youll make an impact:
Design and Development of novel, robust and efficient Machine Learning/ Deep Learning algorithms for major Vision challenges.
Create Proof of Concepts (PoC) for new products and technologies, transitioning research-grade ideas into scalable, production-ready systems.
Evaluate, benchmark, and profile different algorithms on unique, large-scale proprietary datasets, while driving data-centric AI methodologies (active learning, data curation).
Collaborate with infrastructure, MLOps, and hardware teams to define future technology, features, and optimize models for real-time inference constraints (on Edge/Cloud devices).

We're looking for an Experienced Performance Researcher to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing us as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and build high-performance distributed inference pipelines for LLMs, focused on large-batch, non-real-time scenarios.
- Optimize GPU memory usage, kernel execution, and communication across nodes (NCCL, MPI, etc.).
- Own CUDA kernels, compiler-level tricks, and multi-GPU scheduling logic.
- Lead profiling and performance tuning for throughput, and cost- down to the kernel level.
- Collaborate with infra, product, and research teams to define SLAs, resource allocation logic, and runtime behaviors.
- Help build the core infrastructure that will run LLM workloads across hybrid GPU environments (cloud/on-prem/self-hosted).

We are looking for highly motivated, experienced, and passionate wireless algorithm experts for the research and design of advanced cellular communication algorithms, leveraging neural networks and machine learning techniques, for our 5G and beyond products.
What you'll do:
Conduct algorithmic research, balancing performance, implementation cost, real-time constraints, and time-to-market, with a strong focus on ML-based approaches for PHY layer processing.
Design and train neural network models for PHY tasks such as channel estimation, signal detection, beamforming, and decoding, targeting real-time inference on embedded platforms.
Develop algorithms from initial research and simulation through to official customer releases, including literature reviews, ML model prototyping using Python, PyTorch, and TensorFlow, MATLAB modeling, specification writing, and support throughout implementation and end-to-end integration.
Evaluate and benchmark ML-based solutions against traditional DSP approaches, considering accuracy, latency, computational cost, and overall system performance.

Required Student Researcher, 2027
Please complete your application before December 13, 2026. We encourage you to apply as early as possible as we review applications on a rolling basis.
About the job:
The Student Researcher Program fosters academic collaborations by hiring students onto research projects aligned to company priorities in scientific advancement. The program offers placements on teams across, for research, engineering, and science roles. As a Student Researcher, you will have the opportunity to participate in research projects focused on developing solutions for real-world, large-scale problems.
Student Researcher projects are exploratory and direct experiences that drive scientific advancement across a multitude of research areas. Students will work collaboratively on projects that explore innovative research challenges and support the creation of breakthrough technologies.
The program is open to students enrolled in a Bachelors, Masters, or PhD program. Projects vary in duration and location based on team and student requirements. It is required that you are located in one of the specific country locations identified for this role for the full duration of the engagement. When you apply, you will be considered for Student Researcher positions across all of our research teams - including DeepMind, Research, Cloud and more. This allows us to find the right project match for your skills and interests.
Researchers across the company are working to advance the state of the art in computing and build the next generation of intelligent systems for all our products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
Our Research is building the next generation of intelligent systems for all our products. To achieve this, were working on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Our Research teams collaborate closely with other teams across, maintaining the flexibility and versatility required to adapt new projects and foci that meet the demands of the world's fast-paced business needs.
Responsibilities
Participate in research to develop solutions for real-world, large-scale problems.

Were looking for an experienced Deep Learning & Computer Vision research engineer to join our Algorithms group.
What will you do:
Be a researcher of the core deep learning algorithms and partnering with other teammates.
Developing our next generation 2D/3D perception models that utilizes CV in complex environment.
Work across full ML cycle: data, design, train and debug, solvIng complex problems that aligned to customer KPIs.

We are looking for an experienced, creative with an exceptional mathematical thinking and highly motivated C++ Team Leader for Machine Learning & Computer Vision implantation, to join our top-notch software group.
In this position, you will lead a team of developers designing and implementing high-performance DSP, Image Processing, Deep Learning and Computer Vision algorithms, using the most advanced technology such as the newest Nvidia platforms, advanced C++, and modern development procedures and tools.
The team works intensively with the algorithms engineering teams, converting algorithms, and making them suitable to be used on real-time system.

We are now looking for a Solution Architect - Deep Learning based in Israel. The individual will collaborate with brand-new Agentic and Physical AI tools alongside Machine learning, Deep Learning, and Data analytics to improve workflows and develop groundbreaking solutions. We are widely considered to be one of the technology worlds most desirable employers. We have some of the most dedicated individuals in the world working for us. If you're creative and autonomous, we want to hear from you!

What You'll Be Doing:

Assisting field business development in guiding the customer through the sales process for GPU Computing products, owning the technical relationship and assisting the customer in building innovative solutions based on our technology.

Be a motivating leader in integrating our technology into HPC architectures to support scientific and engineering applications.

Be an internal champion for Deep Learning and Data Science among the technical community.

Develop demo solutions and showcase to the AI ecosystem.