דרושים » תוכנה » Computer Vision Research Scientist

Requirements:
msc or phd in electrical engineering, Computer Science, or computer engineering or equivalent experience.
at least 5 years of experience.
background in data center network protocols, threat modeling, and network security, as well as common mitigation techniques.
programming and debugging fundamentals across languages such as Python, and C / C ++.
strong communication skills and a genuine passion for working together as a team are vital.
ways to stand out from the crowd:
proven security research experience and publications in top security conferences.
experience with high-scale deployment challenges, rdma networking, and Machine Learning.
architectural background in hardware and software systems codesign.

Requirements:
M.Sc. or Ph.D. in Computer Science, Mathematics, Engineering or a related technical field.
5+ years of experience in NLP, machine learning or deep learning.
2+ years of experience managing ML/AI or software engineering teams
Excellent understanding of Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents.
Hands-on experience with deep Learning frameworks (Pytorch, Tensorflow or JAX) and other relevant libraries (HuggingFace, vLLM, etc.).
Experience with LLM fine-tuning and deployment at scale on distributed GPU clusters.
Familiarity with STT / ASR models and common audio / speech processing methods.
Strong software engineering skills in Python.

Requirements:
Bachelors or Masters degree in Computer Science, Mathematics, or related field
5+ of experience in programming languages such as Python and experience with putting machine learning code into production
Experience in training LLMs, such as Llama, DeepSeek or similar
Experience in designing benchmarks and evaluating LLM applications
Passion for exploring new technologies and techniques to enhance improve algorithm performance and product features
Strong communication, collaboration, and problem- solving skills

Requirements:
what we need to see:
msc or phd in electrical engineering, Computer Science, or computer engineering or equivalent experience.
5+ years of experience.
background in memory forensics, introspection, operating systems, and file systems as well as common malware patterns and mitigation techniques.
programming and debugging fundamentals across languages such as Python, and C / C ++.
strong communication skills and a genuine passion for working together as a team are vital.
ways to stand out from the crowd:
demonstrated security research experience and publications in top security conferences.
experience with high-scale deployment challenges, networking, and Machine Learning.
architectural background in hardware and software systems codesign.
we are widely considered to be one of the tech worlds most desirable employers. we have some of the most forward-thinking and talented people in the world working for us. if you're creative and autonomous, we want to hear from you.

Requirements:
minimum qualifications:
bachelors degree or equivalent practical experience.
2 years of experience programming in C ++, JAVA, go or Python, or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies.
preferred qualifications:
1 year of experience in applied Machine Learning (e.g., computer vision, generative ai, llm).
1 year of experience in data science with a focus on analytics, Machine Learning, and visualization.

Requirements:
5+ years of experience in Windows internals, low and high-level attack-oriented development, penetration testing, and offensive security.
3+ years of experience in Python development.
Demonstrated skill in writing cyber-related code optimized for performance, memory, and stealth.
Experience with attack frameworks and tools such as Metasploit, Nmap, Cobalt Strike, Impacket, Burp, Pacu, and similar.
Proficiency in reverse engineering and debugging (e.g., IDA, Radare2, WinDBG) for low-level research.
Familiarity with cloud ecosystems and hybrid environments, specifically AWS, Azure.
Ability to apply AI or machine learning concepts and models to decision-making processes within the automated attack platform.
Excellent teamwork, adaptability, and a quick learning mindset.

Requirements:
Programming: Advanced proficiency in Python for backend development and AI applications
GenAI Mastery: Deep understanding of large language models (LLMs) and experience with major model APIs (OpenAI, Anthropic, Google, etc.)
Multi-Agent Systems: Expertise in designing and implementing GenAI multi-agent architectures
Prompt Engineering: Advanced skills in prompt design, optimization, and engineering techniques
Cloud Platforms:
Required: Hands-on experience with AI services in at least one major cloud platform (GCP, Azure, or AWS)
Advantage: Experience across multiple cloud platforms (AI Search, Vertex AI, SageMaker, etc.)
Development Frameworks: Experience with GenAI frameworks like LangChain and cloud-based retrieval services
Software Engineering: Strong background in microservices architecture, API development, and production system design
AI/ML Fundamentals: Solid understanding of deep learning principles and GenAI techniques
Containerization (Advantage): Experience with Docker and Kubernetes for deployment and orchestration
OCR Technologies (Advantage): Experience with Optical Character Recognition systems and document processing
Data Pipelines (Advantage): Experience building and maintaining data processing pipelines
Professional Experience:
Mid+ Level Experience: 2+ years in AI/ML development with significant GenAI project experience
Production Systems: Proven track record of deploying and maintaining AI solutions in production environments
Client-Facing Experience: Comfortable with technical presentations and requirement gathering sessions
Education & Background:
Preferred: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related technical field
Alternative: Demonstrated industrial experience in developing deep learning and GenAI solutions (degree not required with strong portfolio)
Soft Skills:
Problem-Solving: Excellent analytical and creative problem-solving abilities
Communication: Strong technical communication skills for both technical and non-technical audiences
Collaboration: Proven ability to work effectively in cross-functional teams
Adaptability: Thrives in fast-paced environments and eager to learn emerging technologies
Consulting Mindset: Ability to understand client needs and provide strategic technical guidance

Requirements:
what we need to see:
hold a m.sc. or ph.d. in Computer Science, electrical or computer engineering from a leading university (or equivalent experience).
5+ years of industry experience (or equivalent) in ai pipelines architecture or related fields.
industry experience building and shipping ai-powered tools or ml pipelines (not just training models - end-to-end delivery).
strong understanding of llm capabilities and limitations - prompt engineering, fine-tuning, rag, agent architectures.
experience with at least two of: reinforcement learning, classical ml, NLP /information retrieval, evaluation framework design.
can reason about trade-offs: when to use which approach, with real reasoning backed by shipping experience.
strong programming skills ( Python required; familiarity with ml frameworks - pytorch, huggingface, etc.).
ability and flexibility to work and communicate effectively in a multi-national, multi-time-zone corporate environment.
ways to stand out from the crowd:
experience with llm-based code generation, code review, or Developer tooling.
familiarity with eval frameworks and feedback loop design (online and offline evaluation).
experience with ai agent orchestration (multi-agent systems, tool use, planning).
shown research track record (publications, open-source contributions).
knowledge of ai-assisted development tools and their underlying architectures.

Requirements:
what we need to see:
b.sc, m.sc, or ph. d degree in Computer Science, Computer Engineer, or electrical engineer.
at least 5 years of industry or research experience in computer networks.
excellent understanding of large-scale networks behaviour and the effect of distributed computing workloads effect on the network.
experience in development of simulation environments.
possess strong managerial, problem solving and critical thinking skills.
ability to work and operate in a highly dynamic environment.
partner with multiple groups in the organization.
ways to stand out of the crowd:
strong understanding in network protocols - such as infiniband, ip, tcp and roce and network topologies.
good knowledge in Python, C ++.
good knowledge with ai models.
familiarity with hpc environments, routing algorithms, omnet++ and ns3 simulation environments.

Requirements:
B.Sc in Computer Science from top Universities. (GPA above 85)
3+ years experience in C/ C ++ development
Experience in user space applications.
Hands-on experience with some of the following build systems: Yocto, Meson, CMake, Make, Builldroot
Hard-working, committed, and self-reliant
Great interpersonal skills and a team-player
Fluent English
Advantages:
Python programming, scripting on Linux
Knowledge with GStreamer
Knowledge in Open-source software
Familiarity with Docker.