Data Scientist, AI/ML @Gremlin

Overview

The role of Data Scientist, AI/ML at Gremlin involves improving internet reliability by leveraging applied machine learning to analyze chaos engineering experiments. The position requires close collaboration with engineers to enhance system resilience.

Key Responsibilities

• Analyze Gremlin’s dataset to identify failure patterns and resilience signals across distributed systems.
• Pretrain and fine-tune machine learning models for automatic failure detection and classification.
• Develop intelligent systems with automated remediation recommendations based on historical outcomes.
• Build scalable data pipelines and feature stores for real-time inference and model training.
• Collaborate with platform engineers and SREs to integrate AI-driven capabilities into Gremlin’s product.
• Apply advanced techniques to improve automated failure analysis accuracy.
• Translate insights into features that help customers understand failure impacts and accelerate recovery.
• Research and implement novel ML approaches for automated remediation strategies.

Requirements

• 5+ years of professional experience in machine learning, preferably in distributed systems or DevOps.
• Hands-on experience with causal inference, graph ML, time-series modeling, or reinforcement learning.
• Experience building data pipelines and feature stores for training and real-time inference.
• Strong skills in problem-solving and communication.
• Comfort working in agile environments and collaborating with engineers.

Benefits

• Competitive salary range: $220,000 - $290,000 based on experience.
• Competitive total compensation packages including 401k matching, equity, flexible time off, and paid company holidays.

Location

Remote, based in the US.

How to Apply

Interested candidates should apply through the company career page.

Deadline

No deadline stated.