Senior NLP Researcher

5 days ago

Tel Aviv, Tel Aviv, Israel Dream Full time

Dream is a pioneering AI cybersecurity company delivering revolutionary defense through artificial intelligence. Our proprietary AI platform creates a unified security system safeguarding assets against existing and emerging generative cyber threats. Dream's advanced AI automates discovery, calculates risks, performs real-time threat detection, and plans an automated response. With a core focus on the ""unknowns,"" our AI transforms data into clear threat narratives and actionable defense strategies.

Dream's AI cybersecurity platform represents a paradigm shift in cyber defense, employing a novel, multi-layered approach across all organizational networks in real-time. At the core of our solution is Dream's proprietary Cyber Language Model, a groundbreaking innovation that provides real-time, contextualized intelligence for comprehensive, actionable insights into any cyber-related query or threat scenario.

We are seeking a highly skilled and experienced
Senior NLP Researcher
to join our AI research team and drive the development of Dream's next-generation large language models (LLMs). The ideal candidate will have a strong background in NLP, deep learning, and applied research, with a passion for innovating and pushing the boundaries of generative AI technologies.

Responsibilities:

  • Conduct cutting-edge research in natural language processing and large language models.
  • Design, train, and optimize large-scale neural network models for advanced applications.
  • Transition research projects from ideation through deployment and scaling.
  • Collaborate closely with cross-functional teams, including domain experts, product managers, and engineers, to deliver impactful AI solutions.
  • Define and contribute to the AI and NLP product roadmap.

Requirements:

  • M.Sc. in Computer Science, Data Science, Artificial Intelligence, Machine Learning, or a related field.
  • 5+ years of experience in applied AI research.
  • Strong programming skills, particularly in Python and ML frameworks (e.g., TensorFlow, PyTorch).
  • Solid understanding of NLP.
  • Experience with modern Large Language Models (LLM) and generative models.
  • Proven expertise in designing, implementing, and evaluating deep learning models in a production environment.

Preferred Qualifications

  • Experience with training Large Generative Language Models (LLM).
  • Knowledge of distributed computing and infrastructure for training large models.
  • Interest in exploring novel architectures for LLMs.

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