Senior Research Engineer, Voice + Speech

About the role

Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion.
Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience.
Partner with platform and product engineers to integrate new models into production systems.
Break down ambiguous research ideas into clear, iterative milestones and roadmaps.
Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering.

Responsibilities

• Lead research and engineering efforts to improve core conversational capabilities in production, including instruction following, retrieval, memory, and long-horizon task completion.
• Build and iterate on end-to-end models and pipelines that optimize for quality, efficiency, and user experience.
• Partner with platform and product engineers to integrate new models into production systems.
• Break down ambiguous research ideas into clear, iterative milestones and roadmaps.
• Mentor other researchers/engineers, set technical direction, and establish best practices for applied research and engineering.

Requirements

• 5+ years of experience in AI/ML engineering or research.
• Prior experience post-training and deploying LLMs in production environments.
• Fluency in Python and modern ML tooling (training, evaluation, data pipelines).
• Track record of taking research ideas from prototype → reliable, measurable production impact.
• Able to define a roadmap, break ambiguity into milestones, and lead cross-functional execution.

Qualifications

• PhD in Computer Science, Electrical Engineering, Applied Mathematics, or related field.
• Strong publication record in relevant conferences and journals.
• Experience with large-scale distributed systems and cloud infrastructure.
• Excellent communication skills and ability to collaborate effectively with cross-functional teams.

Skills

• Expertise in natural language processing (NLP), machine learning (ML), and deep learning (DL).
• Experience with speech recognition, speaker diarization, and dialogue management.
• Knowledge of reinforcement learning, generative models, and multimodal learning.
• Proficiency in TensorFlow, PyTorch, or similar frameworks.
• Experience with large datasets and scalable data processing pipelines.

Benefits

• Take what you need vacation policy (subject to local requirements; UK employees receive 25 days of statutory leave).
• Medical, Dental, and Vision benefits for you and your family.
• Life Insurance and Disability Benefits.
• Retail Plan (e.g., 401K, pension).
• Parental Leave.
• Fertility and family building benefits through Carrot.
• Daily lunches and snacks in the office to keep you at your best.