Offer summary

Qualifications:

MSc/PhD degree in Computer Science, Engineering, or a related field., Experience in machine learning, deep learning, and speech applications like ASR and VAD., Proficiency with speech recognition software such as PyTorch and Kaldi/K2., Strong programming skills in Python, with good communication abilities..

Key responsabilities:

Developing and optimizing state-of-the-art speech solutions including automatic speech recognition and voice activity detection.

Deploying speech enhancement technologies and ensuring their effectiveness.

Collaborating with team members on projects and meeting demanding deadlines.

Engaging in continuous learning and applying analytical and creative thinking to improve speech technologies.

Job description

We are currently growing rapidly, delivering conversational self service projects across 30 countries. We are seeking people with studies in Speech Signal processing, Computational Linguistics and/ or Natural Language Processing to join our world-class R&D speech team.

Key Accountabilities:

Developing, optimizing & deploying state-of-the-art speech solutions:

Automatic speech recognition
Voice activity detection
Speech enhancement

Requirements

MSc/Phd degree in Computer Science, Engineering or a related subject
Experience in machine learning, deep learning, speech applications including ASR, VAD, Speech enhancement.
Extensive experience with speech recognition software such as PyTorch, Kaldi/K2, ESPnet, WeNet, OpenFST, Whisper
Knowledge of modern speech recognition technologies: Voice Activity Detection, Automatic Speech Recognition, Speech enhancement (echo canceller (AEC), background noise reduction (NR)).
MLOps - AWS experience and cloud deployments (Kubernetes, Docker, Git)
Strong programming ability (Python and optionally C/C++)

Excellent command of spoken and written English.
Very good communication skills.
Ambition, enthusiasm, and eagerness to learn, aptitude for analytical and creative thinking, with sharp attention to detail.
Well-organized for both team and/ or solo assignments.
Accountable within demanding deadlines.

Nice to have:

Experience with customization of ASR solutions
Experience with end-to-end speech recognition (Connectionist Temporal Classification, RNN Transducer, attention-based models)
Experience with robust speech recognition in real-life environment

Benefits

Fixed compensation;
Long-term employment with the working days vacation;
Development in professional growth (courses, training, etc);
Being part of successful cutting-edge technology products that are making a global impact in the service industry;
Proficient and fun-to-work-with colleagues;
Apple gear.

Omilia is proud to be an equal opportunity employer and is dedicated to fostering a diverse and inclusive workplace. We believe that embracing diversity in all its forms enriches our workplace and drives our collective success. We are committed to creating an environment where everyone feels welcomed, valued, and empowered to contribute their unique perspectives without regard to factors such as race, color, religion, gender, gender identity or expression, sexual orientation, national origin, heredity, disability, age, or veteran status, all eligible candidates will be given consideration for employment.

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