לוח משרות דרושים פיתוח אלגוריתמים בתל אביב יפו

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:
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:
* 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:
-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

Requirements:
Ph.D. or M.Sc in computer science/electrical engineering or relevant field
A minimum of 7 years of industry experience in deep learning and computer vision
Strong programming skills in Python and experience with deep learning frameworks.
Excellent communication and presentation skills, with the ability to explain complex concepts to both technical and non-technical audiences.
2+ years of management experience in an algorithmic team (advantage)


Advantage:

Experience in the automotive industry or related fields.
Experience with deploying deep learning models to production environments

Requirements:
A Masters or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
years of experience in algorithm development, with a proven track record of successfully leading algorithm teams.
Proficiency in Python
Strong knowledge of specific technologies, frameworks, or methodologies relevant to your industry.
Excellent problem-solving and analytical skills.
Exceptional leadership and team management abilities.
Strong communication skills, with the ability to convey complex technical concepts to non-technical stakeholders

Requirements:
Education: Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
Experience: At least 10+ years of software development experience.
Experience in managing a tactical team of experienced software developers. at least +5 years.
Deep Learning Expertise: Strong understanding of deep learning algorithms and neural network architectures; experience in deploying ML/DL models into production systems or cloud platforms.
Optimization Skills: Working with optimizing neural networks for hardware platforms; experience with hardware accelerators; knowledge of fixed-point arithmetic (Advantage).
Coding Proficiency: Proficiency in Python (must) and C/CPP (advantage); experience with software tools and libraries such as TensorRT, TensorFlow, PyTorch, and Onnx.
Infrastructure Knowledge: Experience in writing software systems for machine learning infrastructure; knowledge of containerization tools like Docker and deployment frameworks like Flask, TensorFlow Serving, or Kubernetes (Advantage).
Algorithms and Data Handling: Solid understanding of ML algorithms, model evaluation, and validation techniques; experience with data preprocessing, feature engineering, and data visualization.
Parallel Processing Skills: Knowledge of distributed computing, parallel processing, and GPU acceleration.

Requirements:
MSc in Computer Science, Mathematics, Engineering or a related analytical field (PhD - advantage)
5+ years experience in developing and implementing computer vision algorithms
5+ years in leading AI research and development, preferably in a technology-driven, saas environment
Hands-on experience developing and deploying machine learning models into production
Demonstrated leadership experience, including managing and mentoring a team of engineers
Experience in leveraging large-scale compute resources, including distributed GPUs, to train, test, and evaluate models
Experience in full model development life cycle (MLops, models in production)
Strong knowledge in Python and in-depth knowledge of computer vision frameworks and libraries such as OpenCV, PyTorch, or Tensorflow
Experience with Kubernetes and AWS environments
Strong background in audio/video technologies - big advantage
Experience with real-time video and audio processing - big advantage
Excellent verbal and written communication skills
Demonstrated ability to hire, lead, and inspire a team, fostering a culture of innovation and collaboration
Publications, patents, contributions to the AI community - advantage

Requirements:
1-3 years experience leading an R&D/Data Science team

3+ years working as a data scientist, preferably for a startup/fintech company

Master of Science (MSc) or higher in Statistics, Computer Science, Mathematics, or equivalent practical experience

Fluent in Python and/or R code

Knowledge of relational and NoSQL databases

Experience working on high-scale, production-grade projects

Industry experience building fraud mitigation models is an advantage

Graph network knowledge is an advantage

Ability to work in an office environment a minimum of 3 days a week

Enthusiasm about learning and adapting to the exciting world of AI a commitment to exploring this field is a fundamental part of our culture

Requirements:
B.Sc in Computer Science, Electrical Engineering or a related field from a well known university (M.sc - advantage).
At least 3 years of industry experience in the development and productization of deep learning algorithms.
At least 3 years of industry experience using Python and working on major computer vision problems.
Experience using PyTorch, MxNet, TensorFlow, or similar tools
Experience with large scale data
Comfortable within an unexplored territory, independent and self-motivated.

Requirements:
PhD in the field of Computer Graphics, Computer Science, Physics, or Machine Learning with a proven academic track-record.
A track record of publications at leading workshops or conferences such as CVPR, ECCV/ICCV, SIGGRAPH, NIPS.
Experience leading a team in solving modeling problems using AI/ML approaches
Preferred Qualifications
Experience with real-time mixed reality software for mobile phones or head mounted VR/AR devices.
Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, or product releases.
Experience solving complex problems and comparing alternative solutions, tradeoffs, and diverse points of view to determine a path forward.