Machine Learning Team Lead

Overview

In this role you lead a high-performing ML team focused on turning cutting-edge research into scalable, customer-centric speech solutions. You will guide end-to-end ML development, ensuring robust production-ready models that align with business goals. You’ll collaborate with cross-functional partners to deploy innovations and advance our mission to Understand Every Voice. This is an opportunity to shape impactful speech technology at scale and mentor the next generation of ML engineers.

Pay / Benefits

• Hybrid work arrangement (2–3 office days)
• Private medical and dental insurance
• Generous holiday allowance
• Pension/401K matching
• Working from home allowance for equipment
• Global working opportunities

Responsibilities

• Lead, mentor and grow a high-performing ML engineering team
• Provide technical oversight for end-to-end ML development and production readiness
• Champion best practices in software engineering and model serving
• Plan work, allocate resources, and collaborate cross-functionally to align with business objectives
• Drive technical output to deliver high-quality solutions that meet strategic goals

Key requirements

• Experience guiding and mentoring ML engineers
• Ability to prioritize work by impact, feasibility, and time-to-value with clear success metrics
• Strong understanding of the modern ML stack (transformers, distributed training, optimization for inference)
• Proven track record deploying models at scale
• Proficiency in Python, TensorFlow, PyTorch, and cloud platforms
• Familiarity with software engineering practices and ML testing frameworks

• Leadership and people development
• Impact-driven prioritization
• Cross-functional collaboration
• Transformer architectures; GQA, KV-caching
• Distributed training techniques
• Inference optimization (dynamic batching, flash attention, speculative decoding)

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