This role pays less than
82%
of similar roles. Most pay
$162,000–$241,750
— the shaded band above.
At the midpoint, this role pays about
$155k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Danaher Corporation
Danaher Corporation is a leading global science and technology innovator focused on biotechnology, diagnostics, and life sciences.
Danaher Corporation currently has
42 open roles
on FindRole.
Listed pay typically runs
$140,000–$170,000
across 33 roles with salary data.
Sr Engineer, AI/Machine Learning joins the R&D Algorithm Engineering department to integrate existing measurement technologies into new clinical applications and support next-generation medical device development. The role involves analyzing diverse data sources to identify relationships between physiological measurements and clinically relevant conditions while developing computational models for disease detection, diagnosis, and prediction of critical events. Responsibilities include designing, implementing, testing, and documenting Biomedical Signal Processing systems and generating patentable ideas. The position requires expertise in machine learning techniques like regression, classification, and clustering, alongside deep learning models such as CNNs and RNNs. Candidates must be proficient in MATLAB, Python, C/C++, and frameworks including PyTorch, TensorFlow, Keras, and scikit-learn. Technical requirements include experience with digital signal processing, optimization methods, numerical modeling, and familiarity with DSP architecture and embedded systems within the medical device industry.
What does a Engineer earn in California?
Median $209800 from 89 postings across 25 companies.
Integrate existing measurement technologies into new clinical applications and next-generation medical devices.
Analyze data from diverse sources to identify relationships between physiological measurements and clinical conditions.
Develop computational models for disease detection, diagnosis, and prediction of critical events.
Create advanced algorithms using machine learning, deep learning, digital signal processing, and numerical modeling.
Design, implement, test, and document algorithm systems for biomedical signal processing.
Generate patentable ideas to maintain the organization's position at the cutting edge of technology.
Develop software solutions using MATLAB, Python, C, or C++ within an R&D environment.
What we're looking for
Bachelor's degree in Electrical Engineering, Biomedical Engineering, or a related field.
3+ years of experience in AI/ML, statistical signal processing, deep learning, optimization methods, and numerical modeling within the medical device industry.
Experience in algorithm development using machine learning techniques such as regression, classification, and clustering.
Experience with deep learning techniques including neural networks, CNN, and RNN.
Proficiency with machine learning libraries and modern frameworks like PyTorch, TensorFlow, Keras, and scikit-learn.
Strong programming skills in MATLAB, Python, or C/C++ with exposure to software engineering methods.
Familiarity with DSP architecture and embedded systems.
Experience in human physiology, clinical protocol design, or applying AI/ML to biomedical signals (preferred).
Machine Learning
Natural Language Processing
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Computer Vision
Deep Learning
Content Moderation
Adversarial Training
Search Ranking
Information Retrieval
Multimodal Content Filtering
Machine Learning
Natural Language Processing
PyTorch
TensorFlow
JAX
Python
Go
Java
C++
Computer Vision
Deep Learning
Content Moderation
Adversarial Training
Search Ranking
Information Retrieval
Multimodal Content Filtering
Machine Learning
Python
PyTorch
TensorFlow
C++
Computer Vision
CNNs
Signal Processing
GenAI
Distributed Data Processing
Agentic Workflows
Data Analysis
Prompt Engineering
RAG
Python
LangChain
Vector Databases
Embeddings
LLM Orchestration
Agentic AI
Data Modeling
Data Analysis
Cloud Computing
Deep Learning
NVIDIA Deep Learning AI