AI\NLP Engineer
About the job:
Are you an Algorithms Developer looking to influence the world of English Language
Evaluation? In a world of assessments which can be outsmarted by guesswork and
prefab answers, www.speaknow.co is the only solution in the language testing space
to measure real life communication capabilities by evaluating natural speech and
writing.
Using a combination of cutting-edge technology and advanced linguistics research,
the Speaknow test is designed to measure English quickly and accurately. Our test is
used by leading organizations around the world to assess English abilities in
recruitment and language teaching, and is trusted by educational institutions and
government offices to qualitatively measure English abilities in a wide variety of
cases.
What will you do with us?
Speaknow is looking for a forward-thinking AI/NLP Software Engineer to join our
dynamic R&D team in our work on the company’s flagship product and up-and-
coming developments.
Your work on our automatic solutions depends on close cooperation with linguistic
experts, and requires creativity, open-mindedness, independent work, and end-to-end
problem solving.
The position will involve taking these skills and applying them to some of the most
exciting Natural Language Processing within the workforce and education industries.
Experience, qualifications & skills we are looking for:
- Design, develop and improve NLP and Machine Learning based algorithms.
- Develop our main platforms using the latest technologies and machine
learning. - Handling development cycles architecture, development, and monitoring.
- Provide innovative solutions for large scale data and traffic.
Requirements:
- BS, MS or Ph.D. degree in Computer Science, or equivalent field.
- 3+ years Industry experience specializing in machine learning techniques and concepts including Deep Learning, regression, and classification models.
- Proven experience fine-tuning transformer architectures (e.g., BERT, GPT-style models, T5, Llama, Mistral, etc.).
- Experience with text analysis, sequence modelling, and semantic feature extraction.
- Hands-on experience building training pipelines, deploying models to production, and monitoring performance.
- Experience with speech analysis pipelines and feature extraction techniques.
- High standards for code quality, testing and performance.
- High-level interpersonal skills.
- Proficient English
Advantages (Nice to have):
- Experience fine-tuning LLMs for educational tech, scoring or assessment domains.
- Background in computational linguistics, psychometrics or language-testing research.
- Experience optimizing models for latency, cost and scale in production environments.
- Familiarity with ASR, speech scoring, prosodic analysis or signal processing.
- Knowledge of statistical reliability (ICC, Cronbach’s alpha) and their use in assessment validation.
