Machine Learning Engineer

Job Description:

We are the client Moderation team. We help build the tools that client moderators use to do their job of moderating their subclient.

You will work with the existing engineering team and help contribute to the direction of the projection and team. The existing team is a Product team that is building ML capabilities for a user-facing product. In this hands‑on role, you will help us accelerate the ML development process, from internal tooling and helping with modeling to validation and eventual deployment and optimization in production.

Your work will directly impact how we can automate moderation actions, particularly enforcement of client rules.

• Design, build, and deploy LLM and non‑LLM based models to solve critical user‑facing classifier problems.
• Help internal team with rapid iteration of models that span a wide variety of content types (text/link/images/video).
• Build model testing/validation and other internal tools that help the team execute faster.

• At least 3+ years of end‑to‑end experience in training, evaluating, and deploying machine learning models in a production environment.
• Proficient in Python and have a solid understanding of software development best practices for rapid development.
• Experience working with Classifier problems.
• Experience in Google Vertex/Gemini LLM and its capabilities.
• Familiarity with image/video processing ML systems.
• Proven ability to work effectively with cross‑functional teams, including product managers and data scientists, to translate business needs into technical solutions.
• Track record of using machine learning to drive key performance indicator (KPI) wins and solve complex, real‑world problems.

• Experience working with Classifier problems.
• Experience in Google Vertex/Gemini LLM and its capabilities.
• Familiarity with image/video processing ML systems.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.