Machine Learning Engineer Job at DeWinter Group in San Francisco
DeWinter Group, San Francisco, CA, United States
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
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
3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
Deep expertise inPythonand 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 problemsand 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
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
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
3+ years of end-to-end experience in training, evaluating, and deploying machine learning models in a production environment.
Deep expertise inPythonand 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 problemsand 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.
#J-18808-Ljbffr