Algorithm Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Engage in and lead the comprehensive lifecycle of biosignal-based algorithm development for medical devices, which includes gathering specifications and requirements, curating and labeling data, developing, conducting failure analysis, overseeing production, maintaining, and documenting processes.

• Choose, implement, and develop suitable methods for each problem, determining the most effective use of deep learning or alternative methods.

• Enhance internal deep learning and machine learning tools to boost team productivity.

• Introduce model architectures and algorithmic techniques while refining the codebase for enhanced reusability and rapid experimentation.

• Advance best practices for creating user-friendly, well-documented, and rigorously tested algorithm implementations.

• Share results with key stakeholders and assist in utilizing algorithms for client engagement.

• Support client-facing projects and evaluate the impact of current and future algorithms for customers.

• Collaborate with data scientists, neuroscientists, engineers, and clinicians to build, deploy, and maintain models that analyze brain and biosignal data.

⛳️ Requirements

• Over 4 years of industry experience in machine learning and deep learning, particularly within health sciences or other regulated industries.

• Demonstrated success in deploying algorithms into production.

• Experience in digital signal processing (DSP) and statistical analysis.

• Proficient in PyTorch or other deep learning frameworks.

• Familiarity with Transformer/ViT, large-scale modeling, and extensive model training.

• Understanding of software and machine learning engineering best 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 a strong desire to learn within this domain.

• Capable of presenting intricate technical subjects appropriately to both internal and external audiences.

• Willingness and ability to engage in the entire algorithm development lifecycle, including formal validation, quality/regulatory documentation, production deployment, and collaboration with clients.

🏝️ Benefits

• Equity

• PTO

• Remote work experience supported by asynchronous work practices