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Machine Learning Research Engineer - Speech Focus

On-site Full-time

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Experience Level

Experience

Qualifications

Required QualificationsBachelor's or Master's degree in Mathematics, Engineering, Neuroscience, or a closely related field. Extensive experience in machine learning, particularly in speech modeling and feature engineering. Proficiency in time-series analysis and building custom machine learning models from scratch.

About the job

Echo Neurotechnologies is a pioneering startup in the Brain-Computer Interface (BCI) sector, dedicated to revolutionizing the lives of individuals with disabilities through advanced hardware engineering and artificial intelligence solutions. Our vision is to develop innovative technologies that empower users, restoring autonomy and enhancing their quality of life.

Team Culture

We pride ourselves on cultivating an inclusive and dynamic team of skilled professionals who are passionate about their work. Our startup environment encourages ownership of impactful decisions and fosters continuous learning and collaboration, where every contribution is essential to our collective success.

Job Summary

We are on the lookout for a talented Machine Learning Research Engineer specialized in speech modeling to join our innovative team. The successful candidate will leverage ML/AI methodologies to create and refine adaptable speech models aimed at brain-computer interface applications, ultimately making a difference in the lives of patients facing severe disabilities. Candidates should possess significant expertise in speech modeling, feature engineering, time-series analysis, and the development of custom ML models.

Key Responsibilities

  • Design and evaluate diverse model architectures and strategies to enhance the accuracy and resilience of models for interpreting speech from brain activity.
  • Investigate and implement cutting-edge speech features and representations within neural-decoding frameworks, informed by speech science and functional neurophysiology.
  • Create pipelines for generating personalized and naturalistic speech from both text and brain activity inputs.
  • Develop algorithms to analyze both intact and compromised speech signals, identifying biomarkers linked to various diseases and disabilities.
  • Collaborate within a tight-knit team to build models, define R&D workflows, and translate scientific discoveries into practical applications.
  • Contribute to best practices ensuring reliability, observability, reproducibility, and scientific rigor across the R&D landscape.
  • Maintain well-documented, versioned code, analysis pipelines, and results for maximum interpretability and reproducibility.

About Echo Neurotechnologies

Echo Neurotechnologies is at the forefront of BCI innovation, merging advanced technology with a compassionate mission to improve lives. Our commitment to enhancing user experience through cutting-edge AI solutions is rooted in our dedication to fostering autonomy and dignity for individuals with disabilities.

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