This is us
15+ years since starting the company, we continue to foster a diverse and collaborative work environment where everyone gets a say. Our team is currently 700+ people, and we’re still growing. We have offices in New York, London, Singapore, and Tel Aviv, but our technology is all in the cloud.
Kaltura has a fast-paced environment where initiative is always encouraged. Together with our hybrid work model and flexible state of mind, you get the right conditions for creative juices to flow freely. Thanks to our long line of products, cultivation of rich collaborative culture and care for each Kalturian, you’ll never run out of room to grow and evolve.
The day-to-day:
- Develop and implement AI models and algorithms to enhance Kaltura’s video SaaS products.
- Collaborate with product managers, engineers, and designers to integrate AI features seamlessly into the product.
- Analyze large datasets to extract actionable insights and drive data-informed decisions.
- Build predictive models to improve user experience, engagement, and retention.
- Design and conduct experiments to validate the impact of AI features on product performance.
- Continuously monitor and optimize AI models in production to ensure high performance and accuracy.
- Stay updated with the latest advancements in AI and machine learning to bring innovative solutions to Kaltura.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
Ideally, we’re looking for:
- 7+ years of experience in data science, machine learning, or AI roles.
- 5+ years of management experience
- Proficiency in LLM/NLP- a must
- Proficiency in in programming languages such as Python, R, or Scala.
- Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc.
- Strong analytical skills and experience with data visualization tools (e.g., Tableau, Power BI).
- Solid understanding of statistical methods and data analysis techniques.
- Experience working with large datasets and distributed computing (e.g., Hadoop, Spark).
- Strong communication skills and the ability to work collaboratively in a team environment.
These would also be nice:
- Experience with video technology and SaaS products is a plus.
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. PhD is a plus.
The perks:
- Hybrid, flexible work environment
- Extended private health (including mental) insurance
- Personal and professional development programs
- Occasional Cross company long weekends