SapientPriors
ML Research Engineer, Training & Inference Systems
- Eligibility
- Not stated
- Batch
- Not stated
- Experience
- 4+ years
- Pay
- Not stated
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About this role
About the role: - Join an AI lab in Bangalore developing a trainable memory layer for AI agents. - The company's work focuses on reducing context rot in long-running AI systems. - The team combines research and engineering to build continuously learning models. - Candidates should have at least 4 years of relevant experience. What you'll work on: - Own the model-training pipeline for continually learning systems. - Build and maintain inference infrastructure for real-time model serving. - Work on systems that support models which continue learning after deployment. - Improve reliability and performance across training and inference workflows. - Contribute to the infrastructure required for scalable AI memory and personalization. - Collaborate with researchers and engineers working on the core learning system. What we're looking for: - At least 4 years of relevant experience is required. - Candidates should be comfortable owning technically critical training and serving systems. - The role is suited to people interested in both ML research and production engineering. - Applicants should want to work directly on real-time and continually learning AI models. How to apply: - Apply through the SapientPriors careers page. Note: The post also invites candidates to DM the hiring contact with questions.