G
Backend Engineer, AI Powered: Custom Models
GitLab
Engineering & Technology
IT & Telecoms
GHS
Confidential
2 months ago
Job Summary
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.
- Minimum Qualification: Degree
- Experience Level: Mid level
- Experience Length: 3 years
Job Description/Requirements
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 problems and a demonstrated ability to both diagnose and prevent these problems.
- Comfort working in a highly agile, intensely iterative software development process.
- Self-motivated and self-managing, with excellent organizational skills.
- Demonstrated ability to work closely with other parts of the organization.
- Share our values, and work in accordance with those values.
- Ability to thrive in a fully remote organization.
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