Sr Engineer, AI/Machine Learning
Danaher Corporation
Summary
The Sr Engineer, AI/Machine Learning is responsible for integrating existing measurement technologies to be applied to new clinical applications and support the development of next-generation medical devices. The role will focus on analyzing data from diverse sources to identify relationships between physiological measurements and clinically relevant conditions, and developing computational models for disease detection, diagnosis, and prediction of critical events.
Job description
In This Role, You Will Have The Opportunity To:
- Develop new advanced algorithms using, machine learning techniques, deep learning models, digital signal processing techniques, optimization and numerical modeling in MATLAB, Python or similar software.
- Responsible for algorithm design, development, implementation, testing, and documentation for Biomedical Signal Processing systems.
- Contribute to the organization’s strong drive to be on the cutting edge of technology through the generation of patentable ideas.
- Work with cross-functional teams in the R&D group, including hardware and software engineers.
The Essential Requirements Of The Job Include:
- B.S. Degree in Electrical Engineering, Biomedical Engineering, or a related field with 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling within the medical device industry.
- Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
- Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
- Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods.
- Familiarity with DSP architecture and embedded systems.
It would be a plus if you also possess previous experience in:
- Understanding of human physiology and exposure to designing clinical protocols.
- Prior experience in application of AI/ML and signal processing techniques tools to bio-medical signals.
Requirements
- B.S. Degree in Electrical Engineering, Biomedical Engineering, or a related field
- 3+ years of experience in AI/ML, statistical signal processing, and deep learning techniques, optimization methods, and numerical modeling within the medical device industry
- Algorithm development experience using machine learning techniques such as regression, classification, clustering, etc., and deep learning techniques using neural networks, CNN, RNN, etc.
- Experience with machine learning libraries and modern frameworks such as PyTorch, Tensor flow, Keras, scikit-learn, etc.
- Strong programming skills in MATLAB/Python/C/C++ and exposure to software engineering methods
- Familiarity with DSP architecture and embedded systems
Benefits
- Health care program
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Annual bonus up to 10%
Company overview
Danaher Corporation is a leading global science and technology innovator headquartered in Washington, D.C., specializing in biotechnology, life sciences, and diagnostics. Founded in 1984 by brothers Steven and Mitchell Rales, the company has evolved from its origins as a manufacturing conglomerate into a premier healthcare technology organization with approximately 63,000 employees worldwide. Danaher operates through three core divisions: biotechnology (28% of revenues), which develops products for therapeutic development; life sciences (31% of revenues), focused on disease identification, new therapies, and drug testing/manufacturing; and diagnostics (41% of revenues), providing instruments, consumables, and software for disease diagnosis. The company's portfolio includes renowned brands such as Beckman Coulter, Cytiva, Pall Corporation, Cepheid, Leica Microsystems, and Abcam, serving pharmaceutical companies, biotechnology firms, healthcare providers, and research institutions globally. Danaher is distinguished by its Danaher Business System (DBS), a continuous improvement methodology that drives innovation and operational excellence. With 2024 revenues of $23.9 billion, the company ranks 180th on the Fortune 500 and plays a critical role in advancing scientific research, improving diagnostic capabilities, and accelerating the development of life-saving therapies.