Deep Learning And Computer Vision Engineer Jobs

Strong coding skills in Python; experience in C/C++ a big plus

Extensive knowledge in camera processing pipeline, classical computer vision, and classical computational photography techniques

Experience with deep learning techniques for image restoration and image fusion applications (denoising/demosaicing/super-resolution)

Experience with deep learning frameworks like PyTorch or TensorFlow

Excellent verbal and written communication skills

Demonstrated ability in developing machine learning algorithms for computational photography/computer vision and image processing problems

MS or PhD degree in computer science, computer architecture, electrical engineering or related field or equivalent experience.

Experience with deep learning workloads, including performance tuning considerations such as parallelization and fusion strategies;

Experience with core deep learning kernels such as matrix multiply and convolution

Experience with GPU computing (CUDA)

Experience with deep learning frameworks like PyTorch

Programming fluency with C++ and ideally Python

Collaborate seamlessly across cross-functional teams to elucidate requirements and forge innovative technical resolutions.

• Develop evocative sketches, drawings, and schematic representations catering to diverse audiences, including Executives, Product Managers, and Engineering teams.

• Provide educational insights to the team regarding emergent technologies and their applications within the retail environment.

Boast a prolific 5+ years of experience in conceiving and materializing computer vision algorithms and solutions.

Hold practical experience in image and video processing and analysis.

• Accumulate 5-8 years of experience within a dynamic R&D product engineering environment.

Completing or recently completed a Ph.D. in Computer Science/Engineering, Electrical Engineering, etc., or have equivalent research experience.

Excellent knowledge of theory and practice of computer vision methods, as well as deep learning.

Excellent programming skills in some rapid prototyping environment such as Python; C++ and parallel programming (e.g., CUDA) is a plus.

Knowledge of common machine learning frameworks, such as PyTorch.

Research, design and implement novel computer vision and deep learning methods.

Collaborate with other team members and teams.

Remote - Must already be US-based

Highly competitive salary, leading equity package, and benefits.

- +3 yrs experience after PhD (industry or post-doctoral research)

large-scale causal inference, deep learning, generative AI, and reinforcement learning

- Have worked in the system biology, omics or single cell field

You can apply below or contact Jack Cartlidge at Cubiq Recruitment for more information.

Prior experience working on two or more of the following: autonomous vehicles, machine learning, and computer vision.

5+ years of relevant experience.

Outstanding communication and collaboration skills, as we work as a tightly knit team, always discussing and learning from each other.

Plan and implement perception software for NVIDIA Autonomous Vehicle products.

Design and implement software for NVIDIA Simulation products.

Design, execute, test, and maintain system tools for product development and product verification.

Prior experience working on two or more of the following: autonomous vehicles, machine learning, and computer vision.

5+ years of relevant experience.

Outstanding communication and collaboration skills, as we work as a tightly knit team, always discussing and learning from each other.

Plan and implement perception software for NVIDIA Autonomous Vehicle products.

Design and implement software for NVIDIA Simulation products.

Design, execute, test, and maintain system tools for product development and product verification.

Strong knowledge of C/C++, python and firsthand experience with parallel programming, ideally CUDA C/C++.

A Bachelors or Masters Degree in an engineering or computer science related field or equivalent experience

8+ years of relevant work experience. 5+ years in Machine Learning frameworks such as PyTorch, Tensorflow, ONNX Runtime, and TensorRT

Study and work on ground breaking Generative AI models. Ensure the best possible performance on current- and next-generation GPU architectures.

Architect, design and use your coding expertise to optimize, deploy and productize AI models. Write effective, maintainable, and well-tested code

Collaborate closely with the architecture, research, libraries and tools teams at NVIDIA to achieve ideal results for AI problems at hand

Manage deployment operations, including ML model training and data operations.

Cultivate strong relationships with customers, understanding their unique needs and ensuring that our products align with those requirements.

Track customer success metrics, analyze reports, and utilize insights to enhance the overall customer experience.

Possess a Bachelor's Degree in a relevant field or equivalent experience.

Have at least 3 years of experience in a similar customer success, technical support, or consulting role.

Demonstrated experience with Computer Vision and Machine Learning technologies.

Masters or PhD in Computational Linguistics (or equivalent field with computational emphasis) or equivalent experience

Knowledge of scripting languages (e.g. Python, bash)

Knowledge of grammar, language structure, phonetics/phonology, and ability to analyze/validate phonetic transcriptions

Experience with building and customizing large language models, speech recognition, and speech synthesis models

Excellent written and spoken communication skills

Experience with MLOps workflows & traceability and versioning of datasets and understanding of MLOps life cycle

Deep learning and machine learning technologies and functions for knowledge creation, deployment and applications

Working experience in machine learning and deep learning

Strong knowledge of C++/C# programming and/or python scripting

2D/3D image analysis and computer vision technologies and functions

2D/3D pattern tracking and kinetic analysis technologies and functions

Speed up and improve existing core technology algorithms and functions for optimal deployment

At least 3 years hands-on experience with deep-learning research and application.

At least 3 years programming experience (Python/C++ or any high-level language).

Research, development, and integration of vision-based road perception algorithms.

Overseeing and developing complex data pipelines, from data collection, to annotation, and generation.

Integration with C++ - based Autonomous Vehicle software.

Testing and finetuning developed algorithms/models in Imagry’s Autonomous Vehicle in Haifa.