Senior AI Researcher

📋 Description

• Lead research efforts in machine learning for agentic flows, with a focus on speech/audio
• Explore, design, and evaluate state-of-the-art methods, running rigorous benchmarks and experiments.
• Translate research outcomes into robust, production-ready solutions in collaboration with
• Define metrics, measurements, and error analysis frameworks to ensure robustness and reliability in
• Monitor deployed models, analyze performance regressions, and drive continuous improvements in
• Act as the team’s primary research authority, staying up to date with the latest advances in ML

🎯 Requirements

• 5–7+ years of hands-on experience in data science and applied machine learning.
• Strong background in both classical ML techniques and modern deep learning methods.
• Proven experience deploying, monitoring, and iterating on models in production.
• Experience designing and executing rigorous experiments, benchmarks, and error analyses.
• Familiarity with agentic or sequential-flow systems (multi-step decision making, fallback logic
• Proficiency in Python and ML/DL frameworks (e.g. PyTorch, TensorFlow, scikit-learn).