Machine Learning Engineer (6 Months Contract)
Remote
AI Summary
Design, build, and deploy machine learning models to solve critical user-facing classification problems. Work closely with an existing engineering team to accelerate the ML development lifecycle. Contribute to the overall technical direction of the project and team.
Key Highlights
Design, build, and deploy LLM and non-LLM models
Support rapid iteration of models across a wide range of content types
Build model testing, validation frameworks, and internal tools
Technical Skills Required
Benefits & Perks
100% remote work
6 months contract
Job Description
Job Title: Machine Learning Engineer
Location: 100% Remote
Type: 6 Months Contract
Job Description (highlight main points:)
- We build tools that enable moderators to effectively manage and enforce community standards.
- You will work closely with an existing engineering team and contribute to the overall technical direction of the project and team.
- The team is a product-focused group developing machine learning capabilities for a user-facing platform. In this hands-on role, you will help accelerate the ML development lifecycle—from internal tooling and model development to validation, deployment, and production optimization.
- Your work will directly impact the automation of moderation actions, particularly rule enforcement.
Responsibilities:
- Design, build, and deploy LLM and non-LLM models to solve critical user-facing classification problems.
- Support rapid iteration of models across a wide range of content types, including text, links, images, and video.
- Build model testing, validation frameworks, and internal tools that enable faster execution and higher-quality outcomes.
Required Qualifications:
- 3+ years of end-to-end experience training, evaluating, and deploying machine learning models in production environments.
- Strong proficiency in Python with a solid understanding of software development best practices for rapid iteration.
- Hands-on experience with classification problems.
- Experience with Google Vertex AI and Gemini LLM capabilities.
- Familiarity with image and video processing machine learning systems.
- Proven ability to collaborate effectively with cross-functional teams, including product managers and data scientists, to translate business requirements into technical solutions.
- Demonstrated track record of using machine learning to drive KPI improvements and solve complex, real-world problems.
Bonus Points:
- Experience working with Classifier problems.
- Experience in Google Vertex/Gemini LLM and its capabilities.
- Familiarity with image/video processing ML systems.