# Senior Algorithm Engineer- Med Tech

- **Company:** HealthCare Recruiters International
- **Location:** Baltimore, 21201, US
- **Employment type:** FULL_TIME
- **Salary:** USD 175000 per year
- **Posted:** 2026-05-29T11:24:07+00:00
- **Apply:** https://hcrnetwork.com/job/senior-algorithm-engineer-med-tech-baltimore-md/

## Description

Our client is a well-funded innovator in the development and commercialization of wearable (non-invasive) health monitoring wearable platforms specifically for patients suffering from a range of *cardiovascular *and *neurological* disorders.


They have immediate need for a ***Senior Algorithms Engineer, ***with a strong background in *biomedical signal processing, machine learning*, or related field. This role is focused on interpreting time-series signals from wearable devices in both post-processing and real-time contexts for interpreting predictive physiologic data to provide relevant status to patients and physicians.


**Key Responsibilities:**





- Design, build, validate, and optimize signal processing, machine learning and deep learning models for time-series biomedical signal analysis

- Lead biomarker discovery and feature engineering initiatives, including planning and managing short-term and long-term project timelines with deliverables and performance targets

- Develop production-grade code for scalable product deployment

- Collaborate with hardware and embedded teams to transition algorithms into low power implementations

- Document processes and results to comply with internal and FDA-regulated processes

- Contribute to research publications, IP development, and technical strategy


**Qualifications (required and/or preferred):**





- Ph.D. in Biomedical/Electrical/Computer Engineering, Computer Science, or a related field

- 3+ years relevant experience in time-series biomedical signal analysis (e.g., EEG, ECG, PPG, EMG, IMU)

- Strong experience in machine learning, model development, statistical modeling, and signal processing techniques

- Fluent in Python, NumPy, SciPy, PyTorch/TensorFlow, scikit-learn

- Proven ability to write clean, efficient, production-quality code

- Experience translating research algorithms into deployable systems, including generation of required documentation and implementing traceability of testing/validation processes

- Experience in biomarker discovery and physiological feature extraction

- Experience optimizing algorithms to improve performance within constraints

- Familiarity with edge deployment frameworks including Swift, C/C++, LiteFlite, etc.