לוח משרות דרושים פיתוח אלגוריתמים במרכז

Requirements:
B.Sc. from a known university (85+) in Electrical Engineering / Mathematics / Physics with Mathematically oriented courses.

M.Sc. from a known university in Electrical Engineering.

Extensive knowledge and experience with MATLAB must.

C/C++ & other programming languages - advantage.

Knowledge and experience in digital signal processing advantage

Experience with physical layers (PHY) of MODEMs - advantage.

Good interpersonal skills, team work, ability to work with dynamic environment.

Creative, open to absorb and share knowledge and ideas.

Fast self-learning capabilities.

Requirements:
M.sc student for Electrical Engineering - from a known university.
Mathematical orientation
Knowledge and experience with MATLAB advantage
C/C++ & other programming languages - advantage.
Good interpersonal skills, teamwork, ability to work in a dynamic environment.
Creative, open to absorbing and sharing knowledge and ideas.
Fast and self-learning capabilities.

Requirements:
Degree in Computer Science/Electrical Engineering/related field with a focus on AI/NLP/Computer Vision/ML from a well-known university
A strong background and 3+ years of industry experience are required in Machine Learning and Deep Learning algorithms.
Practical NLP experience.
Proficiency in Python programming language.
Strong analytical and problem solving skills.
Independence and ownership, ability to come up with innovative solutions and evaluate them quickly.
Preferred Qualifications:
M.Sc or PHD.
Experience with Generative AI (mainly LLMs).
Full cycle development: research to production.

Requirements:
To be successful in this role, were seeking the following:
Ph.D. in Computer Science, Computational Linguistics, or a related field, with a specialization in natural language processing (NLP), machine learning, or a specific focus on Large Language Models.
Optional but highly desirable: Postdoctoral research experience or industry research experience in the area of Large Language Models or closely related fields.
Significant years of research experience in the field of natural language processing, machine learning, or data science, with at experience specifically focused on Large Language Models.
Experience in utilizing a range of machine learning frameworks and tools, such as TensorFlow, PyTorch, or similar, for the development and testing of language models.
Proven ability to collaborate effectively with multidisciplinary teams, including data scientists, engineers, and product managers, in bringing research concepts to prototype or production stages.
Familiarity with current ethical considerations related to Large Language Models, including issues of fairness, transparency, and bias.

Requirements:
Bsc in computer science
At least 5 years of experience with backend engineering in one of the following languages: Python/C++/Java/C#/Go/Rust
Passion for biology and solving complex problems
A team player, with an ability to work independently
Advantages:
Knowledge of statistics, ML and data science experience
Biology or bioinformatics background
Cloud computing experience

Requirements:
Independence and resourcefulness, ability to come up with innovative solutions and evaluate them quickly
2+ years of hands-on industry experience in Machine Learning/Deep Learning (utilizing standard frameworks such as TensorFlow, PyTorch, Hugging Face, etc...)
Experience writing production-grade code
M.Sc. in Computer Science, Software Engineering, Electrical Engineering, Mathematics, Physics or equivalent research experience
Understanding of Machine Learning and Deep Learning fundamentals
Proficient in Python development
Proficient in data exploration, manipulation and visualization
Advantage for practical NLP experience

Requirements:
M.Sc. degree in computer science or a similar technical field
Comprehensive knowledge of machine learning and deep learning
In-depth knowledge of at least one of the major frameworks (TensorFlow/PyTorch)
3+ years deep learning research experience in industrial settings
Publication in a top-tier peer-reviewed venue
Excellent team player with strong communication skills in verbal and written English
Extensive knowledge of OOP, design patterns, and solid software development principles in Python

Requirements:
MSc in Electrical Engineering/Computer Engineering or equivalent from a leading academic institution.
5+ years of end-to-end algorithms development experience - research, from POC level to production level, in Image Signal Processing / Computer Vision / Computational geometry / Machine learning fields.
Experience in the field of Deep Learning
2+ years of technical/team leading, including supporting several development tasks simultaneously.
Full proficiency in Python with proven experience
Real-time programming experience - an advantage
Experience in writing algorithmic reports
Fluent in English, both verbal and written.

Requirements:
M.Sc degree from a prominent academic institute (relevant fields: Electrical engineering/ Computer Science / equivalent)
Proven industry experience in deep learning and machine learning for computer vision tasks
Excellent programming skills
Proficiency in python and deep learning platforms (e.g. keras / tf /pytorch)
Strong independent work and self-learning abilities.
Advantage:

Proficiency in C++ (or equivalent OOP)
Big
Advantage
Experience with video and real-time algorithmic development
GPU computing (e.g., OpenCV), with parallel considerations

Requirements:
* A Masters or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
* 5+ years of industry experience in developing and productizing computer vision and deep learning algorithms.
* 3+ years of experience working on major AI vision problems in detection, classification, and segmentation with a proven track record of successfully leading algorithm teams
* Hands-on research and industry experience with a proven track record
* Experience in managing different algorithm team members such as ML & CV developers
* Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.).
* Experience in the fields of: Semi-supervised learning/ Unsupervised learning/ Active learning/ Reinforcement learning/ Radiance fields/ Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR - Advantage
Attributes
* Comfortable in unexplored territory
* Possess the skill to break down intricate problems into manageable parts, followed by proposing effective and actionable solutions
* Maintain a steadfast focus on delivering not just insights but actionable results that have a measurable impact on the project or the organization
* Good communication skills with a can-do attitude.
* Agility and multitasking, Independent and self-motivated.
* Good time management, task prioritization skills, and accountability.
* Excellent English.

Why us: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, Machine Learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Requirements:
At least M.Sc./BSc. in one of: Computer Science, Mathematics, Physics, Electrical engineering
5+ years of experience in developing and debugging in C++ and Python.
3+ years of experience in one or more of the following fields: 3D, Computer Graphics, Computer Vision, Machine Leaning, Image processing.
High performance computing, GPU - advantage
Inquisitive fast self-learner
Good team player, open to new ideas.

Requirements:
At least M.Sc./BSc. in one of: Computer Science, Mathematics, Physics, Electrical engineering
8+ years of experience in developing and debugging in C++ and Python.
6+ years of experience in one or more of the following fields: 3D, Computer Graphics, Computer Vision, Machine Leaning, Image processing.
High performance computing, GPU - advantage
Inquisitive fast self-learner
Good team player, open to new ideas

Requirements:
-Ph.D. or MS in Geophysics or Physics.

-Five years of experience in a relevant industry, working with real data.

-Results-oriented, high levels of curiosity, independence, and creativity.

-Outstanding teamwork capabilities.

-High level of proficiency in geophysical signal processing (seismic, ground penetrating radar, ERT, FDEM)

-Proficiency in numerical modeling of elastic and EM wave propagation.

-Proficiency in optimization methods to solve inverse problems.

-Experience with Linux-based systems and Python programming language

-Previous experience with the development of acoustic surveying tools and technology is highly desirable.

-Demonstrated ability to conceive of and develop creative/innovative technology.

-Demonstrated teamwork, strong communication skills, and collaboration in complex projects.

-Advance depth imaging (FWI, RTM, LSRTM) and velocity model building experience.

-Propose when relevant new processing, inversions and seismic acquisitions.

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Requirements:
+5 years of proven experience as a Data Engineer or Machine Learning Engineer
+2 years experience working with Deep Learning.
Strong experience in developing, deploying, and maintaining machine learning models in a production environment.
Construct and maintain data pipelines for model training and serving.
Experience with cloud-native architectures, preferably AWS.
Experience in recommendations, ad-tech, or highly imbalanced data- an advantage
Experience with Embeddings - an advantage
Experience with real-time inference - an advantage
Experience with GPU - an advantage

Requirements:
MSc/PhD in relevant disciplines (e.g., EE/CS/Applied Math/Physics/Bio Engineering/Computational Biology/etc.)
3+ years of industry or research experience (e.g. MSc thesis) in algorithm development, machine learning, data science, or statistical modeling
Excellent coding skills, with at least 5 years of experience in Python
Strong background in C++ - advantage
Self-learning academic background - advantage
Understanding of Machine Learning and Deep Learning fundamentals
Experience with at least one of the following: Deep Learning frameworks, such as Tensorflow, PyTorch, Open CV