AI Summary
Maintain and develop core infrastructure for machine learning research and production efforts. Ensure smooth operation of systems and scalable, secure, and efficient workflows. Strong experience with Linux system administration and scripting languages required.
Key Highlights
Maintain and develop core infrastructure for machine learning research and production efforts
Ensure smooth operation of systems and scalable, secure, and efficient workflows
Strong experience with Linux system administration and scripting languages required
Key Responsibilities
Administration and automation of Linux-based cluster environments
Managing user onboarding/offboarding, security auditing, and access control
Monitoring system resources and job scheduling
Supporting and improving developer workflows
Enabling and supporting AI/ML workloads
Technical Skills Required
Benefits & Perks
Comprehensive medical, dental, vision, and FSA plans
Competitive compensation and 401(k)
Relocation and immigration support on a case-by-case basis
Nice to Have
Experience with infrastructure as code (e.g., Ansible, Terraform)
Prior work supporting ML/AI infrastructure, including GPU management and workload optimization
Exposure to backend development for ML model serving (e.g., vLLM, Ray, SGLang)
Job Description
Zyphra is an artificial intelligence company based in San Francisco, California.
The Role:
As a Machine Learning Systems Administrator - HPC Infrastructure, you will be responsible for maintaining and developing the core infrastructure behind our machine learning research and production efforts. You’ll work closely with various training and inference teams to ensure the smooth operation of our systems while laying the groundwork for scalable, secure, and efficient workflows.
You’ll work across:
- Administration and automation of our Linux-based cluster environments
- Managing user onboarding/offboarding, security auditing, and access control
- Monitoring system resources and job scheduling
- Supporting and improving developer workflows (e.g., VSCode compatibility, Docker)
- Enabling and supporting AI/ML workloads, including large-scale training jobs
- Comfortable operating across a wide range of infrastructure concerns and excited to own and improve critical systems.
- You’ll have a significant impact on both developer productivity and training and inference performance.
- Strong experience with Linux system administration, user and access management, and automation
- Demonstrated expertise in scripting languages for system tooling and automation (bash, Python, etc.)
- Familiarity with containerized environments (e.g., Docker) and job scheduling systems like Slurm
- Experience building tooling for cluster validation and reliability (GPU, networking, storage health checks)
- Experience setting up and managing developer tools and third-party services (e.g, Cloud storage providers, Dockerhub, Slack, Gmail, Telegraf, experiment trackers, etc.)
- Excellent debugging and troubleshooting skills across compute, storage, and networking
- Strong communication skills and ability to collaborate across technical and non-technical teams
Looking to advance your Machine Learning & AI career with relocation support? Explore Machine Learning & AI Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.
- Experience with infrastructure as code (e.g., Ansible, Terraform)
- Prior work supporting ML/AI infrastructure, including GPU management and workload optimization
- Exposure to backend development for ML model serving (e.g., vLLM, Ray, SGLang)
- Experience working with cloud platforms such as AWS, Azure, or GCP
- Familiarity with containers (Docker, Apptainer) and their integration with scheduling systems (Slurm, Kubernetes)
Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.
- Our research methodology is grounded in methodical, step-by-step approaches to ambitious goals. Both deep research and engineering excellence are equally valued
- We strongly value new and crazy ideas and are very willing to bet big on new ideas
- We move as quickly as we can; we aim to minimize the bar to impact as low as possible
- We all enjoy what we do and love discussing AI
- Comprehensive medical, dental, vision, and FSA plans
- Competitive compensation and 401(k)
- Relocation and immigration support on a case-by-case basis
- On-site meals prepared by a dedicated culinary team; Thursday Happy Hours
- In-person team in San Francisco, California. with a collaborative, high-energy environment
Similar Jobs
Explore other opportunities that match your interests
Machine Learning Engineer
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
apple
United State
Machine Learning Engineer
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
Anduril Industries
United State
Enterprise Generative AI Engineer
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
apple
United State