Algorithm Engineer

VitalConnect, Inc.; California (MO); On-site; USD 145,000 - 175,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

401K retirement plan

Job summary

VitalConnect, Inc. is seeking an experienced Algorithm Engineer to expand product features by developing advanced machine learning and deep learning algorithms applied to physiological sensor data.

You will own the end-to-end algorithm development lifecycle, validate performance with disciplined statistical methods, and collaborate across sensor, firmware, mechanical, and software teams for rapid prototyping and deployment.

Qualifications

• PhD in CS/EE/BME or equivalent with emphasis on deep learning.
• 4+ years of industry or academic experience applying DL/ML to real-world data.

Responsibilities

• Develop, analyze, implement, and optimize biomedical ML/DL algorithms using sensor data.
• Own end-to-end algorithm development lifecycle: data curation, model development, validation, deployment, post-market monitoring.
• Define sensor and algorithm specs with cross-functional teams including R&D, firmware, and software.
• Collaborate with hardware and software engineers to translate concepts into functional prototypes.
• Perform advanced exploratory data analysis and data visualization.

Skills

Deep learning

Signal processing

Statistical analysis

Study design

AI-assisted workflows

Cloud platforms

Software engineering best practices

Education

PhD in Computer Science, Electrical Engineering, Biomedical Engineering or related field

Tools

AWS

Job description

Description

Purpose

The Algorithm and Data Science team at VitalConnect is seeking an experienced Algorithm Engineer to help expand our product features and functionalities, driving a profound impact on patient lives and overall well-being. In this role, you will collaborate closely with a cross‑functional R&D team to lead and support the development of advanced machine learning and deep learning algorithms deployed directly in our products. These algorithms are crucial to our mission and the continued success of the company. We are looking for an individual with a deep passion for the research and development of advanced physiological data analysis, who is eager to join a growing team dedicated to shaping the future of healthcare.

Responsibilities

• Develop, analyze, implement, and optimize novel biomedical machine learning and deep learning algorithms using sensor data.
• Own the end-to-end algorithm development lifecycle, encompassing data curation, model development, validation, deployment, and post‑market monitoring.
• Work cross‑functionally to define sensor and algorithm specifications, design and development goals, and key performance targets.
• Collaborate with sensor, firmware, mechanical, and software engineers to rapidly translate system concepts into functional prototypes.
• Conduct advanced exploratory data analysis and data visualization.
• Assist in designing small- and large-scale clinical studies to collect robust data for algorithm training and to demonstrate the feasibility of our technologies.
• Clinically validate that algorithms meet intended use and performance requirements using disciplined scientific and statistical methodologies.
• Support software and firmware engineering teams in the cloud and embedded implementation of algorithms.
• Contribute to the corporate patent portfolio and author technical publications.

Requirements

Qualifications

• Ph.D. in Computer Science, Electrical Engineering, Biomedical Engineering, or a related field with a strong emphasis on deep learning; OR an equivalent combination of education and relevant industry experience in medical, physiological, and/or fitness applications.
• 4+ years of combined industry or academic experience applying advanced deep learning and machine learning algorithms to solve complex data science problems in real‑world environments.

Knowledge and Training

• Strong hands‑on expertise with a wide variety of deep learning and machine learning architectures, including a deep understanding of their real‑world advantages, limitations, and tuning techniques.
• Demonstrated application of signal processing theory, with practical experience in signal acquisition, processing, and feature extraction from noisy data.
• Solid grasp of advanced statistical techniques and concepts.
• Proven experience designing studies to test scientific hypotheses with appropriate statistical power.
• Familiarity working with physiological signals and a working knowledge of underlying human physiology is highly desired.
• Ability to leverage and operationalize AI‑assisted workflows (e.g., code generation, automated analysis, testing) to accelerate development cycles and improve overall system quality and reliability.
• Experience with cloud platforms (e.g., AWS) and modern production deployment workflows.
• Strong understanding of software engineering best practices, testing frameworks, and reproducibility requirements, particularly within regulated medical systems.

Salary & Benefits

The estimated hiring salary range for this position is $145,000 - $175,000. * The actual salary will be based on a variety of job‑related factors, including geography, skills, education and experience. The range is a good faith estimate and may be modified in the future. This role is also eligible for a range of benefits including medical, dental and 401K retirement plan.