Overview
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In this role you will design, build, and evaluate speech language models for spoken response understanding and automated scoring, supporting learner-facing practice and hiring-facing assessments. You will work with cross-functional teams to deliver accurate, fair, and scalable speech AI that provides real-time feedback and robust evaluation. You will lead end-to-end assessment design and ensure responsible AI practices across accents, dialects, and proficiency levels. This position offers the chance to shape practical, high-stakes language assessment products in production.
Responsabilidades
Design and improve speech language models for understanding pronunciation, fluency, prosody, and communicative effectiveness
Develop and evaluate automated scoring and feedback pipelines for speaking tasks (learner-facing and hiring-facing)
Train, fine-tune, and evaluate acoustic, cascading, speech-to-speech, speech LMs, and scoring models (neural and LLM-based)
Design experiments and analyze performance, reliability, and validity of assessments
Perform error analysis and reliability studies to guide model and product improvements
Collaborate with product, UX, and assessment scientists to integrate models into interactive experiences
Apply responsible AI to ensure fairness and transparency of feedback and scores
Support model monitoring and governance in production for high-stakes use




Act as technical lead for an AI conversational assessment product and translate goals into design decisions
Shape end-to-end conversational assessment design including prompts, turn-taking, scoring logic, and feedback timing
Balance validity, user experience, latency, and scalability in production designs
Requisitos principales
Master’s or PhD in Computer Science, Electrical Engineering, Speech & Language Processing, Applied Linguistics, Language Assessment, or equivalent applied experience
Hands-on experience building speech recognition, spoken language understanding, or automated scoring systems
Strong Python programming with PyTorch or similar ML frameworks for speech and language modeling
Solid grounding in machine learning, statistics, xqbhyrx and experimental design as applied to model evaluation
Experience with modern neural speech models and large language models, including fine-tuning for spoken tasks
Expertise in evaluation metrics for speech and assessment (accuracy, reliability, validity, fairness)
Familiarity with responsible AI practices, including bias analysis, interpretability, and governance
Strong communication skills to explain model behavior and assessment outcomes to both technical and non-technical audiences
Experience working in cross-functional product teams and shipping ML systems to production
strong communication
cross-functional collaboration
problem-solving mindset
Python
PyTorch
speech recognition

📌 Lead Specialist, AI Scientist (Málaga)
🏢 Pearson
📍 Málaga