לוח משרות דרושים מתמטיקאים משרה מלאה

Requirements:
B.Sc. in Computer Science, Mathematics, or similar.
4+ years of hands-on experience in applied data science or machine learning roles.
Experience with building solutions based on agents, LLMs, generative AI, and advanced AI/ML frameworks.
Proficient in writing clean, maintainable, and efficient Python code.
Optional (preferred):
Experience with additional languages such as Java or C#.
M.Sc. in Computer Science, Mathematics, or similar.
Independent, proactive, and agile.
Skilled at problem-solving and creative solution-finding.
Strong teamwork and communication skills; thrive in highly collaborative, diverse teams.
Innovative and committed to continuous learning and staying up-to-date with the latest technologies.

Requirements:
B.sc or M.sc in Engineering, Mathematics, Physics, or Computer Science or equivalent experience
5+ years of experience in software development or extensive data analytics, CUDA experience highly desirable.
Experience working with modern Deep Learning software architecture and frameworks including PyTorch, VLLM, Triton
Proven Exposure to GPU technology and CUDA programming
Demonstrable experience in strategy, research, communications.
Capable of working in a constantly evolving environment without losing focus.
Committed with strong analytical and problem solving skills.
Strong time-management and organization skills for coordinating multiple initiatives, priorities and implementations of new technology and products into very complex projects.
Direct experience participating in communities (expertly or as highly engaged developer).
Ways To Stand Out From The Crowd:
Technical knowledge of developer digital platforms and their trends.
Experienced working with containers, Kubernetes and MLoPS tools
Exposure to C, C++ and Python.
Research background.
Good presentation skills.

Requirements:
BSc in Electrical/Computer Engineering or MSc in Mathematics, or equivalent experience.
5+ years of relevant experience.
Excellent analytical, logical reasoning and problem-solving skills.
Strong debugging and analytical skills.
Strong communication and interpersonal skills are required.
Ways to stand out from the crowd:
Formal verification work experience.
Knowledge of digital logic.

Requirements:
BSc in Electrical/Computer Engineering or MSc in Mathematics
5+ years of relevant experience in chip design field (design/verification/formal).
Excellent analytical, logical reasoning and problem-solving skills
Strong debugging and analytical skills.
Strong communication and interpersonal skills are required
Ways to stand out from the crowd:
Formal verification work experience
Team Player
Knowledge of digital logic.

Requirements:
B.Sc. in Computer Science, Electrical Engineering, Mathematics or Physics.
3+ years of experience in algorithm development.
Hands-on experience with Python or C++.
Proven ability to solve complex problems.
Advanced degree (M.Sc. or Ph.D.)- advantage.

Requirements:
3+ years of experience in modern web-scale runtimes/languages, specifically Node (Typescript/JavaScript).
Ability to write and reason about clean and modular code.
Experience with front-end web development including component development - advantage.
Experience with accessibility - advantage.
Experience working with data science/research/AI teams - advantage.
BA / BSc in computer science or a quantitative field (Industrial Engineering and Management / Information Systems / Economics / Statistics / Mathematics / Biology / Physics / Chemistry) or an equivalent experience.

Requirements:
Previous experience in Data Analysis.
Bachelors Degree in Economics (or PPE, Mathematics, Statistics or similar quantitative field).
Advanced analytical skills, ability to spot patterns and trends.
Excellent Excel skills.
An interest in mobile games.
Previous experience in strategic/financial consulting - Advantage.

Requirements:
Bachelors degree in a quantitative discipline such as Computer Science, Engineering, Mathematics, or Statistics.
5+ years of hands-on experience in data analysis, including at least 2 years in a team management role.
Proficiency working with SQL, and data execution frameworks or tools (Spark, Airflow, Dagster, Snowflake, etc).
Basic understanding of descriptive and inferential statistics.
Basic programming and related skills, e.g. python, git.
Can-do attitude. Problem solving skills, self-starter, proactive mindset.
High attention to detail.
Previous experience in the cybersecurity domain - an advantage.
Experience with cloud environments - an advantage.
Experience implementing automatic processes using LLMs - an advantage.

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 5 years of hands-on programming experience Must.
BSc. in Computer Science, Computer Engineering, Mathematics, or any relevant scientific field (advanced degrees are an advantage) - Must.
Experience in computer architecture, assembly language, and low-level programming concepts Advantage.
Experience working in a multidisciplinary environment Advantage.
Familiarity with MLIR/LLVM Advantage.
A motivated and resourceful problem solver with a passion for tackling complex technical challenges, especially in hardware-oriented environments.

Requirements:
Master degree or higher in Computer Science/Mathematics/Physics,/Electric engineering or equivalent is a must.
Strong theoretical background in Machine Learning.
An understanding of linguistics theory and principles (semantic relations, parsing methods, etc.).
2+ years experience with Python.
3+ years experience with conducting NLP research (Specifically: Text) using Deep Learning models (RNN, Transformers, etc) and frameworks (PyTorch, Tensorflow, etc.).
Educate our customers on new and existing features, best practices, and a variety of use cases across industries. This is achieved by planning and hosting online demos, consultations, and screen shares on both a one-to-one and one-to-many basis.

An in-depth understanding in one or more of the following will be a plus:
Optimization.
Information theory.
Probability and statistics.
Bayesian methods.
Publications at top-tier conferences (i.e, ACL, EMNLP, ICML, NeurIPS).
Experience with distributed DL.
Experience with cloud ML (GCP, AWS, etc.).

Requirements:
BSc. or MSc. In EE/CS/Math/Physics or equivalent from a leading university
Experience of at least 5 years solving problems that required the use of machine learning algorithms, statistical modeling and analysis of large data sets
Experience with Digital Signal Processing (Speech Signal Processing is a major advantage)
Strong analytical skills able to collect, organize & analyze significant amounts of information with attention to details and accuracy
High level analytical ability where problems are unusual, complex or ambiguous
Auto-didactic, able to enter new fields, explore and develop algorithms
Ability to work independently and perform well in a demanding fast-paced start-up environment

Requirements:
Bachelors degree in fields such as Computer Science, Engineering, Mathematics, Software Engineering or relevant experience.
4+ years of experience implementing or delivering software product solutions
Experience working with the Payments Acceptance product
We are English-first; however, speaking Hebrew or any other additional language would be a huge advantage

Requirements:
MSc or PhD in a quantitative field (Computer Science, Statistics, Applied Mathematics, Biomedical Engineering).
4+ years of experience as a Data Scientist or Researcher working with clinical data.
Proven ability to work with large-scale datasets, integrate multiple data sources, and build efficient processes.
A natural curiosity, eagerness to learn, and drive to lead a new knowledge domain within the team.
Ability to perform under pressure, deliver impactful insights, and think with a business-oriented mindset.