Requirements:
M.Sc./PhD Computer Science / Mathematics / Physics or similar
Significant academic research experience in relevant fields.
Extensive knowledge of algorithms, with a focus on graph theory and combinatorial optimization.
5+ years of hands‑on experience designing, developing and deploying production‑grade algorithms-must.
Analytical: you can extract the essential features of a complex real-life problem to arrive at a simple and relevant mathematical model.
Experience in Python programming - Advantage.
Fast learner: you can quickly master concepts, disciplines and methods.
Strong interpersonal and communications skills.
Hands-on: you are able to realize your ideas in code.

Requirements:
Key Qualifications:
At least BSc in EE/Communication from a known university, specializing in communications or digital signal processing. MSc/PhD is an advantage.
1-3 years of experience in algorithms research and design of high-speed modems or radio-based products.
Candidates which are outstanding MSc/PhD graduates will be considered.
Deep understanding of digital signal processing, RF fundamentals and communications theory - mandatory.
Experience with Python (Numpy/Pytorch), MATLAB.
Independent, self-motivated, and multitasking
Ability to work in a fast-paced environment.
Preferred:
Hands-on experience with RF lab equipment including spectrum analyzers, oscilloscopes, vector signal generators, network analyzer, power meters, etc.
Basic understanding of wireless standards such as LTE, Wi-Fi, Bluetooth.

Requirements:
5+ years of experience in autonomous driving / robotics / motion planning / navigation / real-time systems
Strong expertise in Path Planning and/or optimization-based planning methods
Strong C++ skills (Python is a plus)
Experience working with real-time systems and performance-critical code
Strong problem-solving skills, end-to-end ownership, and ability to work independently
Experience in automotive production environments.

Requirements:
B.Sc. in Computer Science / Software engineering / Mathematics / similar field
Minimum of 5 years of hands-on industry experience in backend development (Python)
Experience in Devops in cloud infrastructure (Kubernetes etc.) - significant advantage
M.Sc. in Computer Science / Software Engineering / similar field - significant advantage
Experience in architecture and maintaining cloud systems - significant advantage
Have a solid background in software engineering methodologies, such as git & CI/CD
Fast learner: you can quickly master concepts, disciplines and methods
Team player: you work well with people, as well as by yourself
Pragmatic: you know how to deconstruct a problem into few smaller problems
Concise: you get stuff done, in a simple, elegant way.

Requirements:
M.Sc. in Computer Science / Electrical Engineering from top-notch universities.
At least 6 years of hands-on experience in deep learning, computer vision, and machine learning in Python.
Experience in writing highly optimized, scalable and reliable code.
Experience in writing real-time code for a target hardware - Advantage
Strong knowledge of computer vision techniques, including object detection and semantic segmentation- Advantage.
Availability for a full-time position from our office HQ in Tel-Aviv.
Attributes:
Research skills: Ability to conduct independent research, stay up-to-date with the latest advancements in deep learning, and contribute to the development of new algorithms and models. Advantage - Publications in top-tier journals or conferences of computer vision or deep learning.
Team player: Collaborate with others, clearly communicate your results, and align your work with the team's goals, while maintaining your self-sufficiency.
Problem-solving skills: Ability to identify problems, evaluate alternatives, and implement effective solutions.
Adaptability: Openness to learning new techniques, adapting to changing requirements, and embracing new technologies.
Initiative: Proactive in taking on new challenges, seeking out opportunities to improve processes, and driving results.
Results-driven: We are looking for someone who is driven by results and has a strong work ethic.

Requirements:
M.Sc. or PhD. in Computer Science, Mathematics, Engineering or a related field
6+ years of hands on experience with coding Deep learning / Machine learning / Reinforcement-learning / Statistical modeling based solutions
4+ years Experience modeling auction dynamics in first-price environments (bid shading, market price modeling, win-rate prediction, clearing-price / floor-price estimation)
Strong knowledge in Python
Good knowledge in Java, Scala or C#
Experience in data analysis and visualization and strong knowledge in SQL
Possess strong problem solving and critical thinking skills
Bonus points if you have:
Deep understanding of RTB ecosystems and standards (OpenRTB), header bidding (Prebid client/server), and ad-exchange integrations
Hands-on experience with budgeting/pacing, frequency capping, throttling, and guardrails to meet margin/CPA/ROAS targets
Strong grasp of measurement and calibration (CTR/CVR calibration, eCPM modeling, lift studies) and experimentation (A/B tests, multi-armed bandits)
Experience in developing models using deep learning techniques and tools
Experience in developing software within a distributed computation framework.