GitLab is hiring a
Backend Engineer, MLOps in Worldwide

Summary

The job is for a Data Science Engineer at GitLab to build, scale, and iterate on ML features for their DevSecOps platform. The role involves cross-functional collaboration and requires significant experience in Golang, Python, Vue.Js, Terraform, Kubernetes, Docker, and GCP.

Requirements

• Significant experience in Golang
• Significant experience in how to operationalize the lifecycle management of data science workloads, including data ingestion and ETL, feature engineering, development environment setup, CI/CD integration, model versioning, testing, and production deployment
• Deep technical understanding and usability of ML/AI technologies (e.g GPUs, model inference, training, natural language processing, large language models, embeddings, vector database, etc)
• Production experience with Terraform, Kubernetes, Docker, and preferably GCP or equivalent technologies
• Experience with inference backend and post-production monitoring of large language models ( >10GB)

Responsibilities

• Play a key role in the design, implementation, building and integration of product features
• Solve technical backend machine learning problems of high scope and complexity
• Test, deploy, maintain, and improve ML system solution features that aid with registry, deployments, inference of models
• Help to define and improve our internal standards for style, maintainability, and best practices for a high-scale web environment

Preferred Qualifications

• Some level of python is preferred
• Some level of Vue.Js is preferred
• High interest in defining experimentation and agent architecture for large-scale ML recommendation engines

Benefits

• All remote, asynchronous work environment
• Unlimited PTO (paid time off)
• GitLab is home to many dedicated Team Member Resource Groups
• Benefits to manage your health, wealth, and well-being regardless of location
• Equity compensation & Employee Stock Purchase Plan offered
• A personal growth and development budget per year
• Parental leave : 16 weeks
• Home office support