3 months ago
Base Salary
$150k - $300k/yr
Responsibilities
- Build and maintain the training and inference stack for fast iteration and flexibility.
- Develop benchmarks to identify bottlenecks in the training and inference processes.
- Explore state-of-the-art advances in training and inference and apply them.
- Design systems for scaling model training across multi-node, multi-GPU environments.
- Scale distributed training and inference workloads across large GPU clusters.
- Build tooling and abstractions to help ML engineers transition from experiment to production.
Requirements
- Strong Python skills and a background in systems engineering.
- Experience with Kubernetes and distributed training frameworks.
- Ability to solve complex problems and build from first principles.
- Comfortable working in fast-changing, high-growth environments.
- Effective collaboration across technical and non-technical teams.
- Willingness to take full ownership from strategy through execution.
Benefits
- Unlimited PTO for recharging.
- Free daily lunch with teammates at the office.
- Reimbursed transportation costs.
- Generous health insurance covering medical, dental, and vision.
- Health and wellness budget of up to $150/month.
- Flexible parental leave schedule.
Tech Stack
Categories
AI & MLData Engineering
About Reducto
Reducto is the complete agentic document platform for leading AI teams needing performance at enterprise scale. We provide a comprehensive toolkit for working with documents the way a human would, combining custom in-house and leading frontier models to power efficient and accurate document workflows. We currently power the best AI teams ranging from startups to Fortune 10 companies across all industries: legal, finance, healthcare, and more. We are built for enterprise workloads with flexible deployment options from the cloud to fully air-gapped environments, SOC II and HIPAA compliance, and zero data retention.