digitalocean98 · Hyderabad
Dive in and do the best work of your career at DigitalOcean. Journey alongside a strong community of top talent who are relentless in their drive to build the simplest scalable cloud. If you have a growth mindset, naturally like to think big and bold, and are energized by the fast-paced environment of a true industry disruptor, you’ll find your place here. We value winning together—while learning, having fun, and making a profound difference for the dreamers and builders in the world. About the Role DigitalOcean's Agentic AI organization provides a powerful inference cloud, Managed Agents, and robust Agent Learning Services that enable customers to run AI inference confidently at scale. We are looking for a Staff Software Engineer to serve as a technical leader within our Agent Learning Services team, driving the Applied ML strategy to build a robust Continuous Learning Loop for our customers. This is a high-impact leadership role where you will define the machine learning architectures that allow AI agents to learn from historical data, simulate synthetic data, and continuously self-improve. You will partner closely with our Infrastructure and product teams to translate complex ML concepts into scalable, production-ready continuous learning platforms. What You’ll Be Doing Continuous Learning Architecture: Designing and implementing the core Applied ML pipelines for a Continuous Learning Loop, enabling AI agents to autonomously evaluate, learn, and adapt based on user interactions and synthetic data. Agent Optimization & Fine-Tuning: Developing the machine learning models and methodologies behind the Agent Optimizer, leveraging techniques like Supervised Fine-Tuning (SFT), Reinforcement Learning from Human/AI Feedback (RLHF/RLAIF), and targeted optimization strategies to improve agent performance. Evaluations & Simulations: Building robust ML frameworks for Simulations and Evaluations, creating deterministic and non-deterministic scoring mechanisms, reward models, a…
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