Senior Algorithm Engineer

Responsibilities

• Lead the full biosignal-based algorithm development lifecycle for medical devices, including requirements gathering, data curation and labeling, development, failure analysis, production, maintenance, and documentation.
• Select, implement, and develop appropriate methods for each problem, including deep learning and non-machine-learning approaches.
• Improve internal machine learning and deep learning tools, introduce model architectures and algorithmic techniques, and refine the codebase for reusable rapid experimentation.
• Establish best practices for user-friendly, documented, and tested algorithm implementations, including unit tests, continuous integration, and non-regression testing.
• Present results to stakeholders and help them use algorithms in client engagements.
• Support client-facing projects and assess the impact of deployed and future algorithms.

Requirements

• More than 4 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields, with a record of bringing algorithms into production.
• Experience with digital signal processing and statistics.
• Proficiency with PyTorch or other deep learning frameworks for training, developing, and deploying deep learning models.
• Familiarity with current deep learning advances, including Transformers, Vision Transformers, large-scale modeling, and large-model training.
• Knowledge of software and machine learning engineering practices, including testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.
• Familiarity with biosignals, medical imaging data, or large time-series datasets, or enthusiasm for learning the domain.
• Ability to collaborate effectively and communicate complex technical topics to internal and external audiences.
• Willingness to participate in algorithm scoping, data wrangling, experimentation, formal validation, quality and regulatory documentation, production deployment, and client work.

Compensation and Benefits

• Base salary is determined by experience, skills, and qualifications.
• Total compensation includes equity, paid time off, and other benefits.