Machine Learning EngineerDeWinter Group • San Francisco, CA

Machine Learning Engineer

DeWinter Group • San Francisco, CA

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Title : Machine Learning Engineer

Job Type : Contract

Contract Length : 6 months

Target Start Date : ASAP

Work Location / Structure : Remote

About the Opportunity :

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.

Key Responsibilities & Deliverables :

This role is focused on the successful completion of specific tasks and deliverables. Your responsibilities will include :

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.

Required Skills & Experience :

We are looking for someone with a proven track record of successful contract engagements. The ideal candidate will have :

3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.

Deep expertise in Python and 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.

Bonus Points :

Experience in Google Vertex / Gemini LLM and its capabilities.

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Machine Learning Engineer • San Francisco, CA