# Algorithm Engineer

**Company:** [Beacon Biosignals](https://hotfix.jobs/companies/beacon-biosignals)
**Location:** Remote
**Role:** ML Engineering
**Salary:** $150k – $170k/yr
**Experience:** 4+ years
**Skills:** Machine Learning, Deep Learning, PyTorch, digital signal processing, Statistics, Transformers, vision transformers, Python, Docker, CI/CD, experiment tracking, biosignals, medical imaging, time-series data
**Posted:** 2026-08-08

> Build, deploy, and maintain machine and deep learning algorithms for biosignal-based medical devices, working across data curation, experimentation, validation, production, and client impact. Requires 4+ years of industry ML experience, DSP and statistics expertise, and proficiency with PyTorch or comparable frameworks.

## Job Description

## Responsibilities
- Lead the full biosignal-based algorithm development lifecycle for medical devices, including requirements gathering, data curation and labeling, development, failure analysis, production, maintenance, and documentation.
- Select, implement, and develop appropriate methods for each problem, including deep learning and other statistical or signal-processing approaches.
- Improve internal machine learning and deep learning tools, introduce model architectures and algorithmic techniques, and refine codebases for reusable, rapid experimentation.
- Promote best practices for user-friendly, documented, and tested algorithm implementations, including unit tests, CI, and non-regression testing.
- Present results to stakeholders and support their use of algorithms in client engagements.
- Support client-facing projects and assess the impact of deployed and future algorithms.

## Requirements
- More than 4 years of industry experience in machine learning and deep learning, particularly in health sciences or other regulated fields.
- Proven experience bringing algorithms into production.
- Experience with digital signal processing and statistics.
- Proficiency with PyTorch or other deep learning frameworks for training, developing, and deploying models.
- Familiarity with recent deep learning advances, including Transformers, Vision Transformers, large-scale modeling, and large-model training.
- Knowledge of software and machine learning engineering practices, including testing, version control, code reviews, documentation, Docker, CI/CD, and experiment tracking.
- Familiarity with biosignals, medical imaging data, or large time-series datasets, or enthusiasm for learning in the domain.
- Ability to collaborate effectively and communicate complex technical topics to varied audiences.
- Ability to participate across scoping, data wrangling, experimentation, formal validation, quality and regulatory documentation, production deployment, and client collaboration.

## Compensation and Benefits
- US-based salary range: **$150,000–$170,000**.
- Compensation includes equity, paid time off, and other benefits.

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