Data Scientist, AI/ML (Senior Level) in the USA
Gremlin is seeking a senior-level Data Scientist, AI/ML to join our IT team in the USA. In this role, you will analyze our proprietary dataset of millions of chaos engineering experiments to turn raw data into automated failure analysis and remediation strategies, helping major organizations prevent costly system outages.
Key Responsibilities and Technical Focus
- Pretrain and fine-tune machine learning models to automatically detect, classify, and explain failures observed during chaos experiments.
- Build intelligent systems that deliver automated remediation recommendations by learning from historical experiment outcomes and system behavior.
- Develop scalable data pipelines and feature stores for model training and real-time inference.
- Apply advanced techniques including causal inference, graph ML, time-series modeling, and reinforcement learning.
- Collaborate with platform engineers and SREs to integrate AI-driven failure analysis into the core Gremlin Reliability Platform.
Requirements
- 5+ years of professional experience building and productionizing machine learning, ideally for distributed systems, infrastructure, or DevOps and SRE use cases, with additional overall experience in software development.
- Bachelor's degree in a relevant field.
- Hands-on experience with causal inference, graph ML, time-series modeling, or reinforcement learning.
- Experience building data pipelines and feature stores supporting offline training and real-time inference.
- Familiarity with agile development environments, rigorous model evaluation, and MLOps tooling (such as model serving or monitoring).
The salary for this senior-level Data Scientist, AI/ML position is $220,000 to $290,000.