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דרושים Senior Data Scientist בתל אביב

 \ 

Senior Data Scientist

 

11/11/2025

 תל אביב

 ActiveFence

The Data Group is responsible for the data and algorithms which fuel ActiveFence’s ability to fight online evil at scale, ensuring trust & safety and robust AI security. With the continuous and accelerated expansion of online and GenAI threats, we are seriously scaling up our operation to deal with an ever more complex online landscape. If you love varying challenges, can move fast, and are not afraid of tackling uncharted territories with your code, you might be a good fit here. We're looking for a Senior Data Scientist to take our mission to the next level, at scale.

**The team

**You’ll be joining a collaborative and inclusive team of Data Scientists and ML Engineers. We love thinking together, building great products together, and having a good time together. It’s important for us that each team member grows and evolves while providing a significant impact on our product and our clients.

**Primary Responsibilities

**We are looking for a senior data scientist who will collaborate with fellow data scientists and developers, loves getting their hands dirty with data, code, and experimentation, and is not afraid of taking their code to production and learning from the real world.

  • Design and implement models and algorithms for detecting AI security vulnerabilities and exploits and harmful content, across media types whether in vision, text, audio or video.
  • Play an active role in taking your models to production, affecting high throughput and low latency, while not compromising on accuracy and correctness.
  • Strive to constantly improve our ability to detect harmful content, in a nonstationary, adversarial environment
  • Participate in code reviews, design reviews,etc.
  • Explore new technologies and enrich other team members with your knowledge
  • Use best practices to write clean, maintainable code, and create a high performant, delightful experience for customers
  • Find the bad guys, feel proud, inspire your team to do the same

Requirements:

Technologies:

  • Python, Notebook environments (Databricks, Jupyter)
  • ML frameworks: TensorFlow, Pytorch, Onnx, MLFlow (we use Pytorch).
  • PySpark
  • Large Language models, LLMs, RAG systems.

Skills and Qualifications:

  • 5+ years of experience
  • PhD/MSc in Computer Science, a related technical field of study, or equivalent practical experience.
  • Experience in either NLP or Computer Vision, preferably both.
  • Experience in developing ML algorithms, from POC to production
  • Proven Python code development skills
  • Experience with large scale production systems and pipelines.
  • Worked with ML frameworks, algorithms and MLOps
  • Experience with agile practices and SaaS development.
  • Self learner, independent, team player with great communication skills.

You’ll be a great fit if:

  • You’re energetic and love data
  • You are proactive, enjoying taking full ownership of your deliverables, and have a can-do approach
  • You’re curious and always eager to learn more, no matter what level you’re at
  • You’re a team player with great interpersonal skills
  • You’re passionate about preventing online harm.
  • You want to learn and advance how companies use LLMs safely

About ActiveFence:

ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day.

As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

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