Reliability Engineer Role
About Our Mission
Our mission is to create reliable, interpretable, and steerable AI systems that are safe and beneficial for our users and for society as a whole.
Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.
Job Overview
We are seeking talented and experienced Reliability Engineers, including Software Engineers and Systems Engineers with experience and interest in reliability, to join our team. In this role, you will be defining and achieving reliability metrics for all of our internal and external products and services.
Responsibilities:
* Develop appropriate Service Level Objectives for large language model serving and training systems, balancing availability/latency with development velocity
* Design and implement monitoring systems including availability, latency and other salient metrics
* Assist in the design and implementation of high-availability language model serving infrastructure capable of handling the needs of millions of external customers and high-traffic internal workloads
* Develop and manage automated failover and recovery systems for model serving deployments across multiple regions and cloud providers
* Lead incident response for critical AI services, ensuring rapid recovery and systematic improvements from each incident
* Build and maintain cost optimization systems for large-scale AI infrastructure, focusing on accelerator (GPU/TPU/Trainium) utilization and efficiency
Requirements
To succeed in this role, you must have extensive experience with distributed systems observability and monitoring at scale, understand the unique challenges of operating AI infrastructure, including model serving, batch inference, and training pipelines, have proven experience implementing and maintaining SLO/SLA frameworks for business-critical services, be comfortable working with both traditional metrics (latency, availability) and AI-specific metrics (model performance, training convergence), have experience with chaos engineering and systematic resilience testing, and be able to effectively bridge the gap between ML engineers and infrastructure teams.
Benefits
As a member of our team, you will have the opportunity to work on challenging projects, collaborate with experienced professionals, and develop your skills in a rapidly evolving field. You will also be eligible for our competitive compensation and benefits package.
Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
Visa sponsorship: We do sponsor visas However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.