Machine Learning Engineer jobs in United States
Senior Machine Learning Engineer, Moderation Automation (Remote)
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The Boston Consulting Group GmbH
Senior Machine Learning Engineer, Moderation Automation (Remote)
Job summary
A boutique consultancy is seeking a talented Machine Learning Engineer to strategically contribute to a major AI-driven moderation project for a high-traffic content platform. Responsibilities include designing and implementing machine learning models, collaborating with product engineers, and optimizing internal tools. Applicants should have at least 5 years of experience in deploying ML models and a solid understanding of Python. This remote position offers a contract lasting between 12-18 months.
Qualifications
- At least 5+ years of end‑to‑end experience in training, evaluating, and deploying machine learning models in a production environment.
- Proficient in Python and solid understanding of software development best practices.
- Experience with Classifier problems and working on large B2C applications.
Responsibilities
- Design, build, and deploy LLM and non‑LLM based models for user‑facing problems.
- Help with rapid iteration of models across various content types.
- Build model testing/validation tools for quicker executions.
Skills
Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions.
With a strong background in software engineering and leadership, we help companies build high‑performing teams by matching them with professionals who truly fit their needs.
Our client is a large‑scale, high‑traffic social content platform who is seeking a talented Machine Learning Engineer to play a pivotal role in accelerating AI‑driven moderation for our platform.
You’ll design, build, and deploy cutting‑edge LLM and traditional ML models to automate enforcement of platform rules across diverse content types.
This hands‑on position offers the chance to shape the future of content safety, collaborating with product engineers on internal tools, rapid prototyping, validation, and production optimisation.
Locations: 100% Remote – Ireland, Armenia, Poland, Portugal, Romania, United Arab Emirates, United Kingdom, Croatia, Egypt, Hungary, Bulgaria, Argentina, Brazil, Chile, Guatemala, Mexico, Panama.
Contract: 12‑18 months contract of FTE.
- Design, build, and deploy LLM and non‑LLM based models to solve critical user‑facing classifier problems.
- Help internal team with rapid iteration of models that span a wide variety of content types (text/link/images/video).
- Build model testing/validation and other internal tools that help the team execute faster.
- At least 5+ years of end‑to‑end experience in training, evaluating, and deploying machine learning models in a production environment.
- Proficient in Python and have a solid understanding of software development best practices for rapid development.
- Experience working with Classifier problems.
- Experience in Google Vertex/Gemini LLM and its capabilities.
- Familiarity with image/video processing ML systems.
- 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.
- Experience working on large B2C applications.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.