Innovation Engineer developing optical systems at Opto GmbH, working on technology scouting, prototypes, and collaboration with research partners.
About the role
- ML Research Engineer focusing on speech modeling for BCI applications at Echo Neurotechnologies. Working on cutting-edge projects to restore autonomy to individuals with disabilities.
Responsibilities
- Design and assess varying model architectures and modeling strategies to maximize the accuracy and robustness of models for decoding speech from brain activity
- Explore the use of state-of-the-art speech features and representations within neural-decoding pipelines, informed by the fields of speech science and functional neurophysiology
- Develop pipelines for synthesizing personalizable and naturalistic speech from text and from brain activity
- Build algorithms to analyze intact and impaired speech signals to detect biomarkers related to underlying diseases and disabilities
- Work collaboratively within a small team to develop models, design R&D workflows, and translate scientific findings into product implementations
- Contribute to best practices for reliability, observability, reproducibility, and scientific rigor across the R&D ecosystem
- Maintain versioned, clear, and highly documented code, analysis pipelines, and results for maximum interpretability and reproducibility
Requirements
- Bachelor's or Master's degree in Math, Engineering, Neuroscience, or other relevant field
- A minimum of 2 years of academic or industry research experience working with speech datasets
- Experience performing feature engineering with speech signals
- Proficiency in Python and PyTorch
- Excellent communication and collaboration skills to work effectively on cross-functional and interdisciplinary teams
- Experience having technical ownership over at least one successfully implemented collaborative project
- A PhD in Math, Engineering, Neuroscience, or other relevant field (preferred)
- Experience developing speech synthesizers (preferred)
- Experience working with neural signals, especially for brain-computer interface applications (preferred)
Benefits
- Competitive compensation, including stock options.
- Comprehensive benefits package.
- 401(k) program with matching contributions.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior ML Research Engineer driving the research and development of multimodal embedding models at TwelveLabs. Collaborating on projects integrating video, audio, and text for innovative AI solutions.
Research Engineer developing and operating analytical infrastructure for Gridware’s edge grid monitoring product. Collaborating on measurement analysis and new product operationalization in R&D team.
Senior Research Engineer specializing in solid mechanics for Gridware's new sensing capabilities. Focused on mechanics modeling and algorithm design within a climate - tech environment.
Research Engineer developing agentic systems at Anthropic focused on LLMs and AI applications. Collaborating with researchers to enhance agent performance and tackle complex tasks.
System Modelling Innovation Engineer at Electrolux developing advanced product development system models. Enhancing modeling techniques and optimizing product development for better consumer experiences.
R&D Engineer developing estimation and control strategies for Electrolux appliances. Collaborating with global teams to innovate product features and drive sustainability in consumer electronics.
Principal Research Engineer leading engineering activities in behavior autonomy for Scientific Systems. Overseeing critical technology deliverables, team management, and proposal efforts.
Staff Research Engineer involved in creating a neurosymbolic AI agent at Onton. Focused on optimal decision - making processes and addressing challenges in current AI systems.
Research Engineer focusing on decentralized AI training stack for Prime Intellect. Engaging in novel research, optimizing workloads, and contributing to open - source frameworks.