Machine Learning Scientist

For our client, we are seeking a Machine Learning Scientist to join the team of a leader in the Healthcare space.

This role will focus on advancing machine learning approaches for biosignal analysis and diagnostic performance in a regulated healthcare environment. You will help evolve core algorithms and platforms that support high-stakes clinical applications, working closely with data science and engineering partners to turn research into reliable solutions. The position also offers the opportunity to communicate technical insights to stakeholders and contribute to the broader scientific community through conference presentations.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $187,000 – $243,000 annually

Responsibilities

• Design and optimize machine learning algorithms for biosignal data analysis.
• Develop and enhance the machine learning platform for diagnostic capabilities.
• Collaborate with data scientists and engineers to translate research into algorithms.
• Communicate technical findings to stakeholders and present at conferences.

Qualifications

• MS or PhD in Computer Science, Electrical Engineering, Statistics, or a related quantitative field.
• Proven experience in machine learning, AI, or signal processing.
• Experience with algorithms for safety-critical systems in regulated industries.
• Deep expertise in machine learning, deep learning, and statistical modeling.
• Familiarity with large-scale self-supervised learning and generative AI techniques.
• Strong programming skills in Python and experience with relevant libraries.
• Experience deploying machine learning solutions on cloud platforms.

Benefits

• Remote work flexibility within the US.
• Opportunity to work with one of the largest labeled ECG datasets.
• Engagement in cutting-edge research and algorithm development.
• Collaboration with cross-functional teams in a dynamic environment.

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.