AI Scientist / Engineer – Speech Language Model
Role Summary
The AI Scientist / Engineer – Speech Language Models leads the design, development, and
evaluation of AI systems for language assessment, real‑time feedback, and skills evaluation. The role
focuses on speech recognition, spoken language modeling, and automated scoring, ensuring models
are accurate, reliable, fair, and scalable across learner‑facing and hiring‑facing applications.
Key Responsibilities
pronunciation analysis, fluency, prosody, and communicative effectiveness.
AI‑driven speaking practice with instant feedback (learner‑facing).
Job‑relevant oral communication and soft‑skills assessments (hiring‑facing).
speech LMs, and scoring models, including neural and large language model–based
approaches.
ensure assessment quality and decision integrity.
competence, spoken critical thinking skills etc.
spoken features, and scoring behaviors to guide model and product improvements.
experiences such as practice simulations, and hiring workflows.
and proficiency levels, as well as transparency of feedback and scores.
quality and compliance for high‑stakes use cases.
a Product Manager to translate assessment goals, user needs, and business constraints into
model and system design decisions.•Shape end‑to‑end conversational assessment design (task structure, prompts, turn‑taking,
scoring logic, feedback timing) in collaboration with product and assessment stakeholders.
model and system design trade‑offs for production conversational assessments.
Required Skills & Qualifications
Applied Linguistics, Language Assessment, or equivalent applied experience.
automated scoring systems.
frameworks for speech and language modeling.
to model evaluation.
fine‑tuning and evaluation for spoken tasks.
validity, fairness).
governance for user‑impacting systems.
outcomes to technical and non‑technical stakeholders.
and shipping ML systems into production.
Nice‑to‑Have / Domain Alignment
conversational AI.
decision support.
AI scoring systems.Impact of the Role
This role directly enables:
LMs.
decisions.
validity.
Who we are:
At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.
Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.
Job: Data Engineering
Job Family: TECHNOLOGY
Organization: English Language Learning
Schedule: FULL_TIME
Workplace Type: Remote
Req ID: 23534
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