About Us

The Data Group is responsible for the data and algorithms which fuel ActiveFence’s ability to fight online evil at scale. With the continuous and accelerated expansion of online 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 Data Engineer 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 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 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 harmful content, across media types whether in vision, text, audio or video.
• Play an active role in taking your models to production, affecting millions of requests at scale.
• Strive to constantly improve our ability to detect harmful content, in a nonstationary, adversarial environment
• Participate in code reviews, design reviews, and Agile rituals
• 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
• TensorFlow, Pytorch, Onnx, MLFlow
• Spark, Kafka, AirFlow
• Mongo, OpenSearch, dynamoDB, K8s - advantage
• Language models, LLMs, image processing, recommender systems, etc.
  
  

Skills and Qualifications:

• 5+ years of experience in at least one of the following fields - machine learning, image processing, deep learning, NLP
• PhD/MSc in Computer Science, a related technical field of study, or equivalent practical experience.
• Experience in developing ML algorithms, from POC phase to production implementation, in fast paced environments
• 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
  
  

About ActiveFence:

ActiveFence is the leading tool stack for Trust & Safety teams, worldwide. By relying on ActiveFence’s end-to-end solution, Trust & Safety teams – of all sizes – can keep users safe from the widest spectrum of online harms, unwanted content, and malicious behavior, including child safety, disinformation, fraud, hate speech, terror, nudity, and more.

Using cutting-edge AI and a team of world-class subject-matter experts to continuously collect, analyze, and contextualize data, ActiveFence ensures that in an ever-changing world, customers are always two steps ahead of bad actors. As a result, Trust & Safety teams can be proactive and provide maximum protection to users across a multitude of abuse areas, in 70+ languages.

Backed by leading Silicon Valley investors such as CRV and Norwest, ActiveFence has raised $100M to date; employs 300 people worldwide, and has contributed to the online safety of billions of users across the globe.