Machine Learning Engineer

Title: Machine Learning Engineer

Job Type: Contract

Contract Length: 6 months

Target

Start Date:

ASAP

Work Location/Structure: Remote

Our client, a leader in Social Media and Content Platforms, is looking for a skilled Machine Learning Engineer to join their team for a six-month engagement. This project involves building ML capabilities for a user-facing product, including accelerating the ML development process from internal tooling and modeling to validation, deployment, and optimization in production, with a focus on automating moderation actions and Subreddit rule enforcement.

This is a high-impact role that requires a self‑motivated professional who can hit the ground running and deliver results quickly.

• Design and Deployment: Design, build, and deploy LLM and non-LLM based models to solve critical user-facing classifier problems.
• Model Iteration: Help the internal team with rapid iteration of models that span a wide variety of content types (text/link/images/video).
• Tooling: Build model testing/validation and other internal tools that help the team execute faster and accelerate the ML development process.
• Production Impact: Your work will directly impact the automation of moderation actions and enforcement of community rules.
• Collaboration: Work with the existing engineering team to contribute to the direction of the project and the team.

• 3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
• Deep expertise in Pythonand a solid understanding of software development best practices for rapid development. This isn't a learning role—you need to be a subject matter expert.
• Experience working with classifier problems and building ML capabilities for user-facing products.
• Familiarity with image/video processing ML systems.
• Demonstrated ability to work autonomously and manage your own time effectively to meet project goals.
• 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.
• Strong communication skills to provide clear and concise status updates to the project team.

• Experience in Google Vertex/Gemini LLM and its capabilities.