Backend Engineer, AI Powered: Custom Models at GitLab Remote The GitLab DevSecOps platform (https://about.gitlab.com/solutions/devops-platform/) empowers 100,000 organizations to deliver software faster and more efficiently.

We are one of the world's largest all-remote companies (https://about.gitlab.com/company/culture/all-remote/guide/) with 2,000 team members and values (https://handbook.

gitlab.com/handbook/values/) that foster a culture where people embrace the belief that everyone can contribute. Learn more about Life at GitLab (https://vimeo.

com/778157354) . An overview of this role The Custom Models team is responsible for allowing customers to create and use their own fine-tuned models for use within the GitLab product and beyond. They will work collaboratively with numerous teams to ensure a full lifecycle of evaluating models, fine-tuning models, storage models, deploying models, implementing models as underlying engines behind AI agents, and protecting these models through means of various hosting techniques.

Why us? This isn't just a job; it's your chance to shape the future of AI at GitLab. Your expertise in backend development will be critical to your success. Ready to dive into the future of AI at GitLab? Apply now We're excited to meet potential candidates like you and welcome a new star to our team.

Let's shape the future together What you'll do - Develop features and improvements to the GitLab product in a secure, well-tested, and performant way. - Collaborate with Product Management and other stakeholders within Engineering (Frontend, UX, etc.) to maintain a high bar for quality in a fast-paced, iterative environment.

- Advocate for improvements to product quality, security, and performance. - Solve technical problems of moderate scope and complexity. - Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale web environment.

Maintain and advocate for these standards through code review. - Recognize impediments to our efficiency as a team ("technical debt"), propose and implement solutions. - Represent GitLab and its values in public communication around specific projects and community contributions.

- Ship small features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects. - Participate in Tier 2 or Tier 3 weekday and weekend and occasional night on-call rotations to assist troubleshooting product operations, security operations, and urgent engineering issues.

What you'll bring - Significant professional experience with Ruby on Rails. - Professional experience with Python. - Expertise in machine learning and experience with techniques like transfer learning and model fine-tuning - Experience with distributed systems.

- Proficiency in the English language, both written and verbal, sufficient for success in a remote and largely asynchronous work environment. - Experience with performance and optimization probl.