Description
Location: Ra'anana
#Hybrid
DriveNets is looking for an AI Research Lead to join its AI-OPS project and a successful software team as part of the new and rapidly evolving project. If you're passionate about driving cutting-edge AI innovation while coordinating with multidisciplinary R&D teams, we'd love to hear from you.
Responsibilities
- Set the technical vision and roadmap for AI research initiatives aligned with organizational goals. Oversee the full lifecycle of AI model development, from ideation to deployment.
- Mentoring researchers/scientists, fostering collaboration and professional growth. Conduct performance reviews and resolve technical blockers.
- Finetune novel LLM algorithms for domain-specific applications.
- Evaluate emerging AI trends and recommend adoption pathways.
- Oversee and contribute to developing novel classical AI algorithms and techniques to enhance machine learning results.
- Work collaboratively with cross-functional teams, including Software engineers, DevOps, Network Architects, and Product Managers, to align development with business goals.
- Ensure research outcomes are practical, scalable, and can be transitioned into production.
- Represent the AI team in technical discussions, stakeholder meetings, and conferences.
Requirements
- PhD holders: At least 3+ years of experience in AI/ML research & development.
- Master’s holders: At least 5+ years of experience in AI/ML research & development.
- Leading: 1+ years in team leading.
- Strong background in machine learning, deep learning, and AI algorithms.
- Hands-on experience with deep learning frameworks such as PyTorch and TensorFlow, as well as libraries like Hugging Face Transformers.
- Proficiency in Python, C++, or other relevant programming languages.
- Experience in GPU acceleration (e.g., CUDA, Triton, TensorRT, vLLM) and scalable AI model fine-tuning.
Nice to have
- PhD in AI, Computer Science, Engineering, or related field
- Published research in AI/ML conferences
- Experience with AI APIs, prompt engineering, Multi-Agent architectures, retrieval-augmented generation (RAG), LoRA, or AI-Ops
- Experience with data stream processing pipelines and data analytics
- Knowledge of Docker and Kubernetes for containerization and orchestration
- Familiarity with CI/CD pipelines and MLOps tools such as Jenkins, GitHub Actions, GitLab CI, or MLflow for model deployment and monitoring
- Experience with computer networks (e.g., CCNA/CCNP level)
Top Skills
What We Do
DriveNets is a rapidly growing software company that has created a radical new way for service providers and hyperscalers to build their networking infrastructure. DriveNets Network Cloud and DriveNets Network Cloud-AI are new innovative networking solutions that apply the cloud architectural approach to high-scale networking. They bring together the scalability of standard Ethernet Clos architecture with the high performance and reliability of service provider networking, delivering optimal networking performance, scale and cost structure for service providers and hyperscalers.
Founded by Ido Susan and Hillel Kobrinsky, two successful telco entrepreneurs, DriveNets Network Cloud is the leading open disaggregated networking solution based on cloud-native software running over standard white boxes.
Over three funding rounds, DriveNets raised $587 million. Its solutions are used by tens of service providers globally and are in proof-of-concept and lab trials at dozens of operators and hyperscalers, consistently ranking #1 in trials for breadth of capabilities and solution quality. AT&T, the largest backbone in the US, deployed DriveNets Network Cloud across its core network, and DriveNets is currently transporting more than 52% of AT&T’s core network traffic. DriveNets is engaged with over 100 Tier-1 operators and cloud-providers on large projects in North America, Asia and Europe.
