Senior AI Researcher

WHAT YOU'LL DO - Lead research efforts in machine learning for agentic flows, with a focus on speech/audio understanding and decision-making. - 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 engineering and product teams. - Define metrics, measurements, and error analysis frameworks to ensure robustness and reliability in production. - Monitor deployed models, analyze performance regressions, and drive continuous improvements in accuracy and efficiency. - Act as the team’s primary research authority, staying up to date with the latest advances in ML, deep learning, and speech/audio processing, and applying them to our platform. WHAT WE’RE LOOKING FOR - 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, orchestration). - Proficiency in Python and ML/DL frameworks (e.g. PyTorch, TensorFlow, scikit-learn). - Strong problem-solving skills, curiosity, and ability to learn quickly. - Great collaborator who values ownership, autonomy, and teamwork. - Experience working in a fast-growing startup, with the ability to operate in a dynamic, fast-paced environment. - Bonus: prior work with speech/audio signals (e.g. ASR, embeddings, signal processing). Candidate Privacy Notice https://www.wonderful.ai/careers/candidate_notice