דרושים » תוכנה » Applied Scientist, Personalization

Requirements:
Basic Qualifications
- Knowledge of computer science fundamentals in data structures, algorithm design, and problem solving.
- Excellent coding and design skills, proficiency with programming languages such as Java or Python.
- Several publications at top-tier peer-reviewed research conferences or journals.
- Strong communication and collaboration skills.
- PhD, or a Master's degree and experience in CS, CE, ML or related field research.

Preferred Qualifications
- Experience in building and launching deep learning and machine learning models for business applications.
- Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.).
- Experience with information retrieval, recommender systems, natural language processing, and/or personalization algorithms.
- Publications at top Web, Machine Learning, Natural Language Processing conferences such as KDD, ICML, NeurIPS, ACL, EMNLP, etc.

Requirements:
Basic Qualifications
- PhD, or Masters degree and 6+ years of applied research experience in machine learning or a related field.
- 3+ years of experience managing Applied Scientists or ML Engineers
- Experience leading teams that own ML solutions end to end, including problem formulation, offline experimentation, online experimentation (A/B testing), and production deployment at scale.
- Proven track record of translating ambiguous business problems into ML solutions that delivered measurable customer or business impact.
- Experience setting scientific direction, reviewing modeling approaches, and raising the quality bar across a team.
- Hands-on experience applying modern machine learning techniques (including deep learning and/or Large Language Models) to real-world problems.
- Experience leading cross-team initiatives in ambiguous environments, including defining roadmaps and influencing partner teams.
- Strong communication skills, with the ability to influence senior leadership and drive alignment across science, engineering, and product teams.

Preferred Qualifications
- Experience with Large Language Models, including training, fine-tuning, adaptation, or large-scale inference.
- Experience in one or more of the following: Recommendation Systems, Information Retrieval, NLP, or personalization systems at scale.
- Experience with sequential recommendation, user intent or mission modeling, or behavioral modeling.

Requirements:
10 or more years of experience in AI, machine learning, signal processing, or related computational fields, with a proven track record of designing and operating production-grade intelligence systems.
Commercial experience designing, building, or leading agentic AI systems, including LLM-based reasoning, orchestration, tool use, and autonomous or semi-autonomous decision workflows in production environments.
Strong ability to combine classical ML, time-series modeling, and signal processing with LLMs and agentic flows to deliver reliable, explainable, and actionable outcomes.
Experience delivering AI-powered products end-to-end, from research and experimentation through deployment, monitoring, and continuous improvement in SaaS, edge, or hybrid environments.
Solid understanding of AI system concerns such as model governance, evaluation, safety, observability, and lifecycle management, particularly in customer-facing or mission-critical contexts.
Leadership and Scale
4 or more years of experience leading high-impact ML, AI, or engineering teams across both research and product execution and experience as manager of managers.
Demonstrated ability to scale multidisciplinary teams while maintaining delivery focus, technical rigor, and clear ownership.
Proven track record of building cultures of technical excellence, accountability, experimentation, and continuous learning.
Experience leading teams through architectural change or AI paradigm shifts, including the adoption of LLMs and agentic systems.
Domain and Strategic Vision
Ability to set and communicate long-term AI direction while balancing near-term delivery, technical risk, and business impact.
Hands-on experience with agentic systems, autonomous decision workflows, or LLM-driven systems applied to real-world operational problems.
Sound judgment in choosing when to apply classical ML, deep learning, LLM-based techniques, or agentic approaches based on problem context and constraints.
Strong plus: background in time-series analytics, real-time inference systems, sensor data fusion, or closely related domains.
Communicator and Influencer
Exceptional communicator with the ability to align technical and non-technical stakeholders around complex AI decisions and tradeoffs.
Strong aptitude for translating AI innovation into measurable business value, particularly in reliability, efficiency, and operational optimization domains.
Comfortable representing AI strategy and technical direction in executive discussions, customer engagements, and cross-functional forums.
Education
Ph.D. or Masters degree in Computer Science, Electrical Engineering, Physics, AI or ML, Applied Mathematics, or a related field.

Requirements:
Basic Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field.
- 5+ years of non-internship professional software development experience.
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.
- Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems.

Preferred Qualifications
- Experience building server-side rendered web experiences (SSR) and performance-oriented UI rendering patterns.
- Experience with experimentation (A/B testing), analytics instrumentation, and metrics-driven iteration.
- Familiarity with AI/ML integration and generative AI applications.
- Experience with end-to-end SDLC ownership, including operations and on-call, monitoring/metrics, and incident response/RCA.
- Experience mentoring engineers and driving engineering best practices.

Requirements:
Basic Qualifications
- Bachelors degree (B.Sc./B.A.) in Computer Science or a related technical field.
- 4+ years of professional software development experience with strong programming skills.
- Experience with Linux system programming and shell scripting.
- Experience with hardware interfaces or embedded systems.
- Strong debugging skills at the system level.

Preferred Qualifications
- 2+ years of experience in Python.
- Proficiency in object-oriented programming (OOP).
- ETH, PCIe protocols basic knowledge.
- 1+ years of experience contributing to the architecture and design of new and existing systems.
- Knowledge of professional software engineering practices across the full software development life cycle, including: coding standards, code reviews, source control management, build processes, testing and operations.

Requirements:
Basic Qualifications
- B.Sc. in Computer Science/Computer Engineering/Electrical Engineering or related field. Make sure to include a grade sheet with your CV in a single PDF.
- Knowledge of C programming language.

Preferred Qualifications
- Experience in embedded SW Development.
- Hands-on experience developing in a Linux environment.
- Experience with HW/SW interfaces at both the board and chip level.
- Understanding of computer architecture.
- Personal characteristics: team player, highly motivated, willing to work in a dynamic and demanding environment, creative, and a fast learner.

Requirements:
Basic Qualifications
- Experience in patents or publications at top-tier peer-reviewed conferences or journals.
- Experience programming in Java, C++, Python or related language.
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing.
- PhD and 3+ years of CS, CE, ML or related field experience, or Master's degree with 5+ years of CS, CE, ML or related field experience.

Preferred Qualifications
- Experience using Unix/Linux.
- Experience in professional software development.

Requirements:
5+ years of experience in high-performance software engineering
Advanced proficiency in CUDA, C/C++, and Python, especially in production environments
Deep understanding of GPU architecture, memory hierarchies, and optimization techniques
Proven track record of optimizing compute-intensive systems
Strong system architecture fundamentals, especially around performance, concurrency, and parallelism
Ability to independently lead deep technical investigations and deliver clean, maintainable solutions
Collaborative and team-oriented mindset, with experience working across functional teams

Requirements:
Basic Qualifications
- Bachelor's degree in Computer Science or related technical field.
- 1+ years of contributing to new and current systems architecture and design (architecture, design patterns, reliability and scaling) experience.
- 5+ years of professional software development experience with strong programming skills.
- Hands-on experience working and scripting in Linux environments (shell).
- Knowledge of professional software engineering practices across the full software development life cycle.

Preferred Qualifications
- Experience building test automation frameworks and tools.
- 2+ years of hands-on experience in Python.
- Strong Bash scripting skills.
- Proficiency in object-oriented programming (OOP).
- Solid understanding of Linux architecture and system structure.
- Hands-on experience in web development.

Requirements:
Basic Qualifications
- 8+ years of experience in logic design.
- 8+ years experience in chip architecture and micro-architecture.
- BSc in Computer/Electrical Engineering.
- Strong communication and collaboration skills.
- Strong leadership skills and ability to own and technically lead engineering teams.
- Strong knowledge of IO and network protocols.

Preferred Qualifications
- Strong knowledge of chip interconnect protocols (AXI, CHI).
- Experience with Network-on-Chip (NOC) architecture.
- knowledge with coherent and non-coherent fabric design.
- Comprehensive SoC development cycle expertise.
- Advanced degree in related technical field.