Description:

Cyberhaven is seeking an experienced MLOps Engineer to join their Linea AI team and contribute to high-impact innovation projects.
The role involves working on cutting-edge technology and bringing AI prototypes to production.
You will collaborate closely with the Labs team to operationalize and scale AI prototypes for multiple customers.
The position requires working in fast-paced environments on new features that utilize AI at their core.
You will engage with a large-scale, fault-tolerant system that processes billions of events from tens of thousands of endpoints in real-time with subsecond latency.
The technology stack includes Go, Kubernetes, Bigquery on the backend, and Typescript, React, MUI on the frontend, along with Python, Pytorch, and Huggingface libraries in the ML stack.
You will be responsible for delivering in-house LLM models to production.

Requirements:

Candidates should have an entrepreneurial mindset and a passion for innovation, eager to solve real-world problems with breakthrough technology.
A strong track record in building full-stack applications that are actively used at scale is required.
Experience in developing large applications using Go or Python is necessary.
Candidates must have experience in developing and deploying Machine Learning Operations at scale.
Hands-on experience with microservices, Kubernetes (both development and DevOps), and observability technologies like Prometheus is essential.
A minimum of 2 years of experience with MLOps technologies is required.
Candidates should have at least 5 years of experience in DevOps or backend development.
Production experience with large-scale foundational models and transformer-based architecture (GenAI) is also required.

The position offers a competitive startup salary and generous stock options.
Employees can enjoy flexible time off.
There are potential fast-tracked career advancement opportunities available.
The role provides the experience of building something from the ground up.
The estimated base salary for this role ranges from $150k to $250k, with actual starting pay determined by various factors including skills, experience, and market demands.