Machine Learning Engineer – Audio & Speech Expert
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 Machine Learning Engineer specializing in Audio and Speech Processing to join our dynamic R&D team part-time (50%) 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 exciting audio and speech domains within the workforce and education industries.
Experience, Qualifications & Skills we are looking for:
- Design and Develop specialized ML models for speech feature extraction, focusing on prosodic and acoustic markers of language proficiency.
- Architect and Optimize speech-to-text (ASR) pipelines to ensure high-accuracy transcriptions in diverse acoustic environments.
- Build and Deploy production-grade audio processing solutions, including speaker diarization and noise suppression systems.
- Collaborate with linguistic experts to translate phonological research into scalable algorithmic features.
- Handle Full Development Cycles, from data curation and model training to deployment and performance monitoring.
Requirements
- BS or MS. degree in Computer Science, Electrical Engineering, or a related field with a focus on Signal Processing and ML.
- 3+ years of Industry Experience specializing in machine learning, with an emphasis on audio and speech technologies.
- Deep Expertise in Speech Analysis: Proven experience with feature extraction and sequence modeling.
- ASR & Diarization: Hands-on experience fine-tuning Automatic Speech Recognition (ASR) engines and implementing speaker diarization frameworks.
- Production Standards: Experience building training pipelines and deploying models to production with a focus on code quality and performance.
- Proficient English and high-level interpersonal skills.
Advantages (Nice to Have)
- Background in Prosodic Analysis or Computational Linguistics.
- Experience optimizing audio models for low-latency and cost-effective production scaling.
