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Machine Learning Engineer
Machine Learning EngineerDeWinter Group • San Francisco, CA
Machine Learning Engineer

Machine Learning Engineer

DeWinter Group • San Francisco, CA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

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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