Senior Algorithm Engineer

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

📋 Description

• Engage in and oversee the complete lifecycle of biosignal-based algorithm development for medical devices, encompassing specifications and requirements gathering, data curation and labeling, development, failure analysis, production, maintenance, and documentation.

• Select and implement suitable methodologies for each challenge, including deciding when to utilize deep learning as opposed to alternative methods.

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

• Introduce innovative model architectures and algorithmic techniques.

• Optimize the codebase to promote reusability and facilitate rapid experimentation.

• Establish and refine best practices for user-friendly, well-documented, and thoroughly tested algorithm implementations.

• Implement unit tests, comprehensive documentation, continuous integration, and non-regression testing.

• Present findings to key stakeholders and assist with algorithm application for client engagement.

• Support client-facing projects and influence the effectiveness of algorithms for customers.

• Collaborate with data scientists, neuroscientists, engineers, and clinicians on models that analyze brain and biosignal data.

⛳️ Requirements

• Over 5 years of industry experience in machine learning and deep learning, especially within health sciences or other regulated sectors.

• Demonstrated success in deploying algorithms into production.

• Familiarity with digital signal processing (DSP) and statistical methods.

• Proficient in PyTorch or other deep learning frameworks.

• Knowledge of current deep learning advancements, including Transformer/ViT, large-scale modeling, and extensive model training.

• Adherence to best practices in software and ML engineering, such as testing, version control, code reviews, documentation, Dockerization, CI/CD, and experiment tracking.

• Experience with biosignals, medical imaging data, or large time-series datasets, or a strong willingness to learn in this area.

• Capability to articulate, discuss, and present intricate technical subjects suitably for both internal and external audiences.

• Enthusiasm for engaging in the entire algorithm development lifecycle, including formal validation, quality/regulatory documentation, production deployment, and client collaboration.

• Ability to work effectively in a team-oriented environment.

🏝️ Benefits

• Equity

• PTO

• First-class remote work experience

• In-person office hubs in Boston, New York City, and Paris