Remote Machine Learning Engineer, AI Powered: Custom Models

Description:

• The Machine Learning Engineer will be part of the Custom Models team at GitLab, responsible for deploying and customizing Generative AI models within the GitLab product and beyond.
• They will collaborate with various teams to assess, fine-tune, evaluate, store, deploy, and protect models using different hosting techniques.
• The role involves developing improvements to models for generating new content securely and efficiently.
• The engineer will work with complex data for feature development using machine learning models.
• They will advocate for product quality, security, and performance enhancements.
• Responsibilities include crafting code that meets internal standards for a high-scale machine-learning environment and participating in on-call rotations for troubleshooting.

Requirements:

• A Master’s degree with 2+ years of experience in ML or a PhD with a focus on Machine Learning/Data Science is required.
• Professional experience with Python is necessary.
• Experience in performance optimization, agile software development, and long-term integration with organizations is essential.
• Strong communication skills, positive mindset, and ability to work in a fully remote setup are required.
• Experience with deep learning frameworks like PyTorch or TensorFlow is preferred.
• Familiarity with prompt engineering, RAG, LLM fine-tuning, and MLOps infrastructure is a plus.

Benefits:

• GitLab offers benefits to support health, finances, and well-being.
• The position provides an all-remote, asynchronous work environment.
• Flexible Paid Time Off, Equity Compensation, and Employee Stock Purchase Plan are available.
• Team Member Resource Groups, Growth and development budget, Parental leave, and Home office support are provided.
• The company encourages applications from candidates with varying levels of experience and promotes diversity and inclusion.