Algorithm Engineer III
Skills
- Proficient in PyTorch or other deep learning frameworks for training and deploying models.
- Strong knowledge of digital signal processing and statistics.
- Experienced with deep learning advances such as Transformers and large scale modeling.
- Adherence to best practices in software and ML engineering including CI/CD, version control, testing, and documentation.
- Familiarity or enthusiasm for biosignals, medical imaging, or large time-series data.
Responsibilities
- Lead entire biosignal-based algorithm development lifecycle including specification, data curation, development, testing, production, and documentation.
- Select and implement appropriate algorithmic methods including deep learning and alternative approaches.
- Enhance ML tools for increased team efficiency and promote reusable, well-documented, and tested codebases.
- Present results to stakeholders and support client engagement using algorithms.
- Assist client-facing projects by shaping algorithm impact for customers.
Education
- Bachelor’s degree in Computer Science, Electrical Engineering, Data Science, or related field.
- Advanced degrees preferred but not explicitly required.
Benefits
- Competitive base salary with compensation based on experience and skills.
- Equity options.
- Paid time off (PTO).
- Flexible remote work with office hubs in Boston, New York, and Paris.
Average salary estimate
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