ML Team Lead

Role overview Lead an applied machine learning team improving speech systems across varied languages, accents, and real-world audio conditions. This hands-on leadership role sets technical direction while driving experiments into production and taking responsibility for measurable quality, robustness, latency, and cost improvements.

Responsibilities - Set direction for speech and ML model development across languages and accents. - Lead, mentor, hire, and develop ML engineers and interns while removing delivery obstacles. - Own speech output quality in production and guide work from experiments to deployed changes. - Establish evaluation standards, experiment practices, and model quality benchmarks. - Partner with engineering to integrate models into production pipelines. - Investigate recurring failures across languages and audio conditions, and drive fixes before they affect users. - Communicate risks, findings, and ML impact to technical and business stakeholders.

Requirements - At least 4 years in applied ML or speech engineering, including 1–2 years leading a team. - Strong Python and PyTorch skills, with deep understanding of ASR, speech processing, and evaluation. - Experience shipping ML models in production and working within GPU inference and optimization constraints. - Ability to define and uphold evaluation standards across a team. - Clear communication across research, engineering, and business, with sound judgment amid incomplete information. - Willingness to investigate messy data and production failures, learn from unsuccessful experiments, and remain technically hands-on.

Nice to have - Experience with multilingual or low-resource speech, particularly Southeast Asian languages. - Exposure to on-device or low-latency inference, evaluation and annotation workflows, code-switching, accent robustness, or noisy audio.

Benefits and work setup - Remote-first flexibility, direct collaboration with senior stakeholders, and ownership of ML direction and team development. - Compensation is equity only; no salary is provided at this stage.