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Machine Learning Engineer, AI Powered: Custom Models

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GitLab

2mo ago

Applications are closed

  • Job
    Full-time
    Junior & Mid Level
  • Data
  • $112K - $240K

Requirements

  • A relevant Master’s degree and 2 or more years of experience in ML or PhD degree with a focus on Machine Learning or Data Science.
  • Professional experience with Python
  • 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
  • Demonstrated ability to onboard and integrate with an organization long-term
  • Positive and solution-oriented mindset
  • Effective communication skills: Regularly achieve consensus with peers, and clear status updates
  • An inclination towards communication, inclusion, and visibility
  • Experience owning a project from concept to production, including proposal, discussion, and execution.
  • Self-motivated and self-managing, with strong 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
  • Two of more of:
  • Professional experience with prompt engineering and Retrieval Augmented Generation (RAG)
  • Experience building, training, and implementing deep learning models.
  • Experience with a deep learning framework such as PyTorch or TensorFlow
  • Professional experience fine-tuning LLMs
  • Design, construction or operation of MLOps infrastructure
  • Bonus Qualifications:
  • Have contributed a Merge Request to GitLab
  • Have contributed to ML open source projects

Responsibilities

  • Develop improvements to models to generate new content using machine learning models in a secure, well-tested, and performant way.
  • Work with highly complex data for feature development using machine learning models.
  • Collaborate with product managers, engineers, and other stakeholders as a machine learning specialist.
  • 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 machine-learning environment. Maintain and advocate for these standards through code review.
  • Confidently ship small features and improvements with minimal guidance and support from other team members. Collaborate with the team on larger projects.
  • Participate as a reviewer or project maintainer in one or more engineering projects.
  • Participate in Tier 2 or Tier 3 weekday, weekend, and occasional night on-call rotations to assist with troubleshooting product operations, security operations, and urgent engineering issues.

FAQs

What is the primary responsibility of a Machine Learning Engineer on the Custom Models team at GitLab?

The primary responsibility is to enable customers to deploy and customize the outputs of Generative AI models, along with fine-tuning models for use within the GitLab product. This includes assessing, evaluating, storing, deploying, and implementing models, as well as ensuring their security.

What background or qualifications are required for this role?

A relevant Master’s degree with at least 2 years of experience in Machine Learning or a PhD focused on Machine Learning or Data Science is required. Additionally, professional experience with Python and comfort working in an agile software development process are essential.

What kind of collaboration can I expect in this role?

You will work collaboratively with product managers, engineers, and other stakeholders as a machine learning specialist, engaging in discussions that advocate for improvements to product quality, security, and performance.

Are there any specific technical skills that are preferred for this position?

Yes, preferred skills include professional experience with prompt engineering, Retrieval Augmented Generation (RAG), building, training, and implementing deep learning models, and experience with frameworks like PyTorch or TensorFlow. Familiarity with fine-tuning language models (LLMs) and MLOps infrastructure is also valuable.

What does the work environment look like at GitLab for this role?

GitLab offers a fully remote, asynchronous work environment. You will be expected to engage with team members across various global locations while maintaining the flexibility to manage your own schedule.

Is this position open to all levels of experience?

Yes, GitLab welcomes interest from candidates with varying levels of experience. Many successful candidates do not meet every single requirement, and individuals from underrepresented groups are encouraged to apply.

What kind of support does GitLab provide to its employees in this role?

GitLab offers a variety of benefits including health and wellness support, flexible paid time off, equity compensation, a growth and development budget, and home office support, among other resources.

What opportunities for growth or advancement can I expect?

GitLab provides a growth and development budget, which allows team members to invest in their professional development and skills enhancement, thereby creating opportunities for advancement within the organization.

How does GitLab handle inclusion and diversity in the workplace?

GitLab is committed to being an equal opportunity workplace and an affirmative action employer. Their recruitment and employment practices are based solely on merit and do not tolerate discrimination or harassment of any kind.

What is the salary range for this position?

The salary range for this role is currently between $112,000 to $240,000 USD, depending on various factors such as experience, education, and market alignment.

Will there be opportunities for on-call work in this role?

Yes, as part of the responsibilities, you will participate in Tier 2 or Tier 3 weekday, weekend, and occasional night on-call rotations to assist with troubleshooting product operations and urgent engineering issues.

GitLab

Build software faster. The DevSecOps Platform enables your entire org to collaborate around your code. We're hiring.

Technology
Industry
1001-5000
Employees
2014
Founded Year

Mission & Purpose

GitLab is a complete DevOps platform, delivered as a single application, fundamentally changing the way Development, Security, and Ops teams collaborate and build software. From idea to production, GitLab helps teams improve cycle time from weeks to minutes, reduce development costs and time to market while increasing developer productivity. We're the world's largest all-remote company with team members located in more than 65 countries. As part of the GitLab team, you can work from anywhere with good internet. You'll have the freedom to contribute when and where you do your best work.