Machine Learning Engineer - OpenWeb

About the Role

OpenWeb's Data Science team is opening its gates and looking for an experienced ML Engineer.

OpenWeb’s mission is to improve the quality of online conversations and build a healthier web where content creators of all kinds are empowered to thrive. As a product company, OpenWeb partners with publishers and brands to forge strong, direct relationships with their audiences.

To achieve this, our Data Science team leads various initiatives around conversation moderation—think spam detection, toxicity, hate speech, or bot detection. We incorporate large-scale transformer models and LLMs at scale to make it happen.

In our work, we research, build, deploy, and monitor solutions using the latest and greatest tools.

When you join our Data Science team, you’ll tackle everything from NLP classification challenges, RL model training for optimizing real time bidding, detection of bots using graph networks and scaling cutting-edge transformer models in production.

If you’re ready to dive into huge amounts of data -and have fun doing it- read on!

 What You’ll do:

• Develop & Standardize ML Tooling: Build frameworks and reusable modules to streamline model deployment and code standardization.
• Innovate with NLP & LLMs: Fine-tune transformers or LLMs, train new models, and continuously explore advancements in language technologies.
• Automate Model Deployment: Train transformers to flag conversations and automate the process from training to deployment (using JFrogML & CircleCI).
• Collaborate on Big Data: Use Databricks and AWS to wrangle datasets of epic proportions.
• Develop Production-Ready Code: Leverage Python, OOP, and best practices (packaging, pre-commit, linting) to turn POCs into production ready services - while collaborating with our incredible back-end/DevOps teams.
• Stay Curious: Keep up-to-date with the latest in ML, share knowledge with the team, and keep the data (science) party going.

What you"ll bring:

• Experience: 4+ years of experience as a Machine Learning Engineer
• Knowledge in ML & NLP: Transformer & LLM is a must, Classical ML knowledge is a plus.
• Skilled Python Developer: Have a deep understanding of virtual environments like poetry and can write clean, Pythonic code. Familiar with object-oriented design, modular code, and neat code packaging.
• Production Oriented: Experience deploying models at scale (we love well-oiled machine learning pipelines!).
• Eternal Learner: Loves to learn, experiment, and turn ideas into impactful projects
• Cloud: Experience working with cloud platforms such as AWS or GCP

Bonus Points

• Experience deploying ML models using Docker, Kubernetes, or other cloud services.
• Working with advanced IDEs such as Cursor.AI
• Familiarity with MLOps best practices for continuous integration and deployment.
• Solid understanding of machine learning algorithms, statistical modeling, and deep learning.
• Hands-on experience with PySpark.
• Experience with JFrogML (Qwak) or other ML deployment platforms

Why You’ll Love It Here

• You’ll tackle real-world problems in a dynamic, medium-sized company—where you’ll see the impact of your work right away.
• You’ll join a professional, supportive team that values collaboration, creativity, and continuous growth.
• We’ll give  you the freedom to innovate and the tools to make it happen.

Ready to Join?

If you’re excited about stepping into a senior role where you can make a real impact—working on everything from standardizing text processing to building the next wave of LLM/transformer-based ML systems—then we’d love to hear from you.

We believe in finding the right people and giving them an environment where they can thrive. 

So bring your expertise, bring your curiosity, and let’s go! 

Last updated: 14 hours ago