About the role
Responsibilites:
- Build and ship the AI systems that power Nightfall's Security products.
- Work hands-on with Python to analyze data, experiment with new natural language or other model architectures, fine tune models, benchmark and monitor model accuracy, build automation for automated training and deployment, real-time inferencing, or designing agentic workflows.
- Work hands-on with Go to build the microservices that ingest and process data at scale through the use of streaming infrastructure, distributed caching, and highly concurrent execution.
- Collaborate across engineering and product to turn ideas into live AI features.
- Participate in the team's on-call rotation to help drive operational excellence.
Requirements:
- 6+ years of industry experience with a graduate degree in Computer Science or Engineering with rigorous coursework in Artificial Intelligence, Machine Learning, Data Science or related field.
- Hands-on experience with building Deep learning models and taking them to production at large scale, including complex software engineering in delivering end-to-end AI projects.
- Hands-on experience in building Agentic workflows and using Thrive in fast-moving, high-ownership environments.
- Are excited to learn from experienced mentors and level up quickly.
- Must have Hand on experience with Search and Ingestion.
Bonus Points For:
- Hands-on experience with building models in Pytorch or other frameworks to solve complex problems in NLP or other domains, including fine-tuning LLMs or building agentic workflows around them.
- Familiarity with AWS, GCP and experience with systems such as Kafka, Redis, Postgres, etc.
- Hands-on experience with MLOps for training, inferencing, evaluation, monitoring and deployment Hackathon wins, research papers, or open-source contributions.