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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 AIF 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.
You’ll help merge cutting-edge evaluation tools, optimize dataset management, and scale our validation infrastructure. Working closely with other AI feature teams, you’ll ensure that every AI feature we deliver is robust, reliable, and meets the highest quality standards.
Some challenges in this role include designing scalable solutions for LLM evaluation, consolidating disparate validation tools, and contributing to GitLab’s innovative AI roadmap.
Some examples of our projects:
Consolidating Evaluation Tooling | The GitLab HandbookGitLab.org / AI Powered / ELI5
- GitLab.org / ModelOps / AI Model Validation and Research / AI Evaluation / Prompt Library
What You’ll Do
- 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.
What You’ll Bring
- 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.
About the team
The AIF team ensures that AI models across GitLab are reliable and well-validated. We focus on building robust evaluation frameworks, consolidating tools, and streamlining processes to scale validation efforts across GitLab’s AI infrastructure. Working on high-impact projects, the team partners with AI feature teams to deliver quality-focused solutions that enhance user trust and product performance.
How GitLab will support you
- 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
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Remote-Global
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
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GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
Top Skills
What the Team is Saying
What We Do
GitLab is an open core software company that develops the most comprehensive DevSecOps Platform used by more than 100,000 organizations. Our mission makes it clear that we believe in a world where everyone can contribute. We make that possible at GitLab by running our operations on our product and staying aligned with our values.
We strive to create a transparent environment where all team members around the world feel that their voices are heard and welcomed. We also aim to be a place where people can show up as their full selves each day and contribute their best.
Why Work With Us
We’ve got big ambitions to make GitLab the most comprehensive AI-powered DevSecOps platform and need skilled contributors to get us there. At GitLab, your contributions shape the future of software development at a time when AI is changing the way software is built. Together, we're building the most comprehensive AI-powered DevSecOps platform.
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Employees work remotely.
All-remote means that each individual in the organization is empowered to work and live where they are most fulfilled; it makes it clear that every team member is equal. No one, not even the executive team, meets in-person on a daily basis.
