Cyabra’s technology filters through social conversations to empower brands and uncover disinformation. Our powerful lens taps into hives of activity that are connected by common interests and passions to provide a deeper understanding of what drives consumers to help brands make smarter decisions.
We look for an experienced, hands-on Head of NLP Data science to lead our data science team and expand our algorithmic offering using our unique and rich data.
Responsibilities:
- You will lead the field of NLP, ML, LLMs. You will work together with engineering, and product to deliver measurable improvements.
- Define technical strategy and roadmap for our disinformation detection algorithms
- On a day to day, some of your responsibilities will include:
- Drive continuous improvement in model accuracy, scalability, and performance
- Explore new data sources and methods supporting the accuracy of the algorithms.
- Mentor and develop team members through code reviews, technical guidance.
- Build, deploy, and maintain production-grade NLP/ML pipelines, ensuring reliability and operational excellence
Qualifications:
- 5+ years of experience developing machine learning/NLP algorithms - Must
- 2+ years of experience leading team of data sciences - Must
- Strong Experience with Deep Learning and modern NLP fundamentals, including Transformers, LLMs, RAG and Agents - Must
- Solid foundation in NLP and ML theory, statistics, and modeling principles - Must
- Proficiency with Python and standard statistical and ML libraries (e.g., NumPy, pandas, scikit-learn, PyTorch, TensorFlow) - Must
- PHD/ M.Sc. in Computer Science/Mathematics/Physics or any other relevant field - Incredible Advantage
- Experience with time series analysis, multimodal models, and computer vision - Nice To Have