SENIOR ALGORITHM ENGINEER

We seek individuals interested in digital health and medical technology who are dynamic and eager to apply and learn new skills in developing a novel continuous blood pressure measurement device. As a Senior Algorithm Engineer - Image Processing & Machine Learning you will have a leading role in the design, development and practical implementation of algorithms and imaging tools for medical applications in the field of blood pressure and hemodynamic monitoring.

Key Responsibilities

• Drive algorithm and software development of a medical device consisting of hardware control, data acquisition, and image processing for an advanced real-time tracking system of physiological signals using multiple sensors.
• Provide technical leadership in the development of novel algorithms, software architecture, coding, testing, and deployment.
• Generate requirements, specifications, support risk/hazard analyses, and lead/participate in technical reviews.
• Effectively collaborate across disciplines (electronics, software and mechanical) and with internal and external consultants and development partners.
• Participate in design and execution of preclinical system experiments with physicians, researchers, and third parties.
• Help establish and drive best practices across the software development lifecycle.

Seniority Level

Mid- Senior level

Employment Type

Full-time (Hybrid option available)

Location

Newton, MA

Education Required:

MS and/or PhD in Electrical Engineering, Computer Science, Mechanical Engineering, Biomedical Engineering or Applied Optics

Years of Experience

4+ years of experience in the design and development of Image Processing and Machine Learning algorithms.

Required Qualifications:

• Experience with advanced image and signal processing.
• Experience with algorithm development and implementation in python, and C/C++ in a fast-paced environment.
• Experience with acquisition and processing of physiological signals in a complex environment is preferred.
• Excellent knowledge of linear/nonlinear real-time systems analysis (time/frequency, estimation and feedback models, digital filter design).
• Knowledge of Deep Learning, Machine Learning for Images / Videos.
• Good written and verbal communication skills.
• Ability to create documentation, follow documentation protocols, and suggest improvements as required.
• Ability to work in a fast-paced and start-up team environment.
• Self-motivated with strong problem-solving skills.

Additional Beneficial Attributes:

• Prior experience with optimization and inverse problems is preferred.
• Experience with imaging equipment and basic optical system design is preferred.
• Quick learner and systematic thinker with the ability to collect, analyze, and interpret complex information with mathematical tools using independent judgement.
• Excellent communication and presentation skills, capable of conveying technical information in a clear and thorough manner to a varied audience.
• Good knowledge in any three of the following subjects:
• Deep Learning, Machine Learning, Neural Networks, Numerical Methods, Optical Systems, Statistics & Probability, Advanced Signal Processing, and Image Processing.

• 401(k)
• Health insurance
• Paid holidays and vacation