Senior Machine Learning Engineer

Overview

As a Senior Machine Learning Engineer, you drive cutting-edge R&D in speech technologies within a cross-functional team. You will stay at the forefront of ML developments, delivering high-impact projects and guiding colleagues. You’ll contribute to building and deploying state-of-the-art models, including large self-supervised systems, that power accurate speech recognition. This role offers a meaningful impact on a mission to Understand Every Voice, in a collaborative, innovation-driven environment.

Pay / Benefits

• Private Medical and Dental for you and your family
• Global working opportunities
• Generous holiday allowance and pension/401K matching
• Working-from-home allowance for tech equipment
• Hybrid (2-3 office days) with Focus Fridays and Together Tuesdays
• Parental leave support and adoption/reproductive health services

Responsibilities

• Work on complex R&D projects with a diverse engineering group to reach ambitious goals
• Stay current with the latest developments in machine learning
• Execute high-impact projects to ensure team success
• Mentor team members and collaborate across departments

Key requirements

• Demonstrated experience pursuing ambitious R&D agendas in collaboration
• Precise attention to detail with awareness of the big picture and ML trajectory
• Understanding of the modern ML stack, including transformer architectures and best practices
• Experience in distributed training techniques
• Familiarity with optimization strategies for model inference (e.g., dynamic batching, flash attention, speculative decoding)
• Preferred: publications in top-tier conferences, contributions to open-source, technical writing

• Collaborative mindset
• Attention to detail
• Strategic thinking about ML direction
• Contemporary transformer architectures (GQA, KV-caching)
• Distributed training techniques
• Model inference optimization (dynamic batching, flash attention, speculative decoding)

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