Build Intelligent Agents : Contribute to the design, development, and deployment of responsive AI agents that interact effectively in real-world scenarios.
- Enhance Learning from Interaction : Work on systems that allow agents to learn and improve through user interactions and feedback using techniques like supervised fine-tuning and reinforcement learning.
- Voice & Speech Integration : Collaborate on building low-latency, lifelike voice experiences using cutting-edge transcription, synthesis, and multimodal models.
- Simulation & Testing : Help develop and maintain simulation environments and benchmarking tools to evaluate agent performance in diverse and challenging situations.
- Experiment & Innovate : Explore new ideas in ML and emerging technologies.
- Prototype solutions that push the boundaries of product Skills
- Solid ML Foundation : 25 years of hands-on experience applying machine learning in production or research settings.
- Comfortable with model training, evaluation, and data pipelines.
- Collaborative Mindset : Experience working with cross-functional teams including engineers,
researchers, and product stakeholders.
Self-Starter Attitude : Proactive, resourceful, and comfortable working in fast-paced, ambiguous environments.Engineering Skills : Strong programming skills in Python and familiarity with development workflows.Experience with Go or Typescript is a plus but not required.Production-Ready Thinking : Some experience deploying ML models and maintaining reliable data / ML pipelines in production Skills :Experience working with LLMs, transformer-based architectures, or generative models.Exposure to conversational AI, speech interfaces, or voice-based applications.Familiarity with reinforcement learning or self-supervised learning.Experience designing experiments or benchmarking ML systems.Demonstrated ability to think creatively and translate research into product value.ref : hirist.tech)