Intermediate Machine Learning Engineer, AI Powered: AI Framework
تفاصيل الوظيفة
Intermediate Machine Learning Engineer, AI Powered: AI Framework Location: Remote GitLab is an open core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. An overview of this role: Are you passionate about building robust frameworks to evaluate and ensure the reliability of AI models? As a Machine Learning Engineer on GitLab’s AI framework team, you’ll play a critical role in shaping the future of AI-powered features at GitLab. This is an exciting opportunity to work on impactful projects that directly influence the quality of GitLab’s AI capabilities. Responsibilities:
- Design and implement technical evaluators for LLM assessment.
- Contribute to evaluation infrastructure consolidation efforts.
- Build scalable evaluation pipelines and frameworks.
- Develop and manage datasets and evaluation metrics.
- Collaborate with feature teams to integrate validation solutions.
- Optimize performance across ML evaluation systems.
- Support improvements to GitLab’s AI-powered tools through validation.
- Ensure all solutions align with GitLab’s infrastructure and security protocols.
- Proven experience designing and implementing LLM evaluation systems.
- Strong understanding of ML model architectures, including public vs. private implementations.
- Expertise in ML evaluation metrics and dataset management.
- Demonstrated ability to build production-grade ML infrastructure.
- Practical experience with Python-based ML frameworks and evaluation tools (e.g., Langsmith, ELI5).
- Excellent problem-solving skills with an engineering mindset.
- Ability to collaborate in an asynchronous, remote-first environment.
- Familiarity with open-source development and contribution is a plus.
- Benefits to support your health, finances, and well-being.
- All remote, asynchronous work environment.
- Flexible Paid Time Off.
- Team Member Resource Groups.
- Equity Compensation & Employee Stock Purchase Plan.
- Growth and development budget.
- Parental leave.
- Home office support.
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