Algorithm Engineer (Machine Learning Focus) - RemoteReporting to the CTO, the Lead Algorithm Engineer will play a pivotal role in our mission to revolutionize remote in-home health monitoring. You will lead a team responsible for the design and implementation of the machine learning models powering Casana’s Heart Seat™. The ideal candidate should have a deep understanding of machine learning techniques, signal processing, possess strong programming and communication skills, and have experience working with large datasets.
This role is central to our mission of delivering a breakthrough medical device that has the potential to improve the lives of millions of people. If you are a driven algorithm developer with a passion for innovation in healthcare, we encourage you to apply and join us in making a meaningful impact.
What You Will Do

• Lead by example in developing, testing, and deploying deep learning models and machine learning algorithms with a focus on processing BCG, ECG, and PPG signals to derive cardiovascular measures
• Collaborate with the Clinical Research team to understand and enhance data capture processes, ensuring alignment with algorithmic needs and product goals
• Design and implement data processing pipelines optimized for large-scale physiological datasets
• Research and innovate in the application of cutting-edge machine learning techniques focusing on improving precision and reliability
• Conduct experiments and perform statistical analysis to validate model performance, adhering to regulatory standards for medical devices
• Optimize algorithms for production deployment ensuring scalability, robustness, and observability
• Lead cross-functional collaboration with the engineering teams to integrate machine learning models into the overall product
• Drive design discussions, lead code reviews and establish best practices for machine learning engineering
• Present to the Casana Executive Team and Board of Directors on progress towards key deliverables
• Proactively adapt to evolving company needs in our fast-paced environment

What We Require

• Degree in Software Engineering, Data Science, or related discipline. Advanced degree, Masters or PhD, preferred
• 7+ years of experience in algorithm development leveraging deep learning and neural networks, with a strong emphasis on time-series signals, physiological data, and device signal/sensor processing
• Proven track record in applying advanced data preprocessing, feature engineering, and model selection techniques
• Experience with signal processing, an emphasis on biomedical preferred
• Expert-level programming skills in Python, with deep familiarity with machine learning libraries such as TensorFlow, PyTorch, or similar
• Experience developing products for regulated environments is highly desired, specifically familiarity with FDA regulations (e.g., CFR Part 11) and standards like ISO 62304

What You Need to Succeed

• A passion for solving complex challenges that directly impact patient health, coupled with a determination to drive innovations in medical technology
• Excellent communication skills, with the ability to distill complex technical concepts for diverse audiences, from engineers to executives
• Exceptional analytical and problem-solving abilities, with a track record of tackling challenging algorithmic problems
• Resilience and adaptability, thriving in a fast-paced, dynamic environment where urgency and precision are critical

About CasanaCasana is innovating healthcare delivery with a smart toilet seat that enables effortless, integrated, and consistent in-home health monitoring. The Heart Seat® captures key clinical values, including FDA cleared heart rate, blood oxygenation, and future clinical measurements in development such as blood pressure.The healthcare system has been searching for this actionable intelligence for decades, and it turns out, we were sitting on a great idea all along.