Senior Machine Learning & Computer Vision Engineer

Danaher Corporation

Confirmed live today High trust
Closes in 4 days

Quick summary

Work type
On-site
Location
Bellevue, WA
Salary
$111,500–$133,000 / yr
Posted
3 days ago
Freshness
Confirmed live today
Closes
Sep 23, 2026 (soon)

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $207k
This role $122k
$93k most similar roles pay here $281k

This role pays less than 98% of similar roles. Most pay $167,024–$246,150 — the shaded band above. At the midpoint, this role pays about $122k versus about $207k 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 35 open roles on FindRole.

Listed pay typically runs $145,000–$172,500 across 30 roles with salary data.

Most-posted roles

View all roles at Danaher Corporation

At a glance

TL;DR · Senior Machine Learning & Computer Vision Engineer

As a Senior Machine Learning & Computer Vision Engineer on the IN Carta software development team, you will design, develop, and maintain industrial-grade applications tailored for life science imaging challenges. You will be responsible for architecting scalable systems that integrate with existing workflows while developing state-of-the-art algorithms such as convolutional neural networks, object detection, and segmentation to analyze complex biological image data. Your daily work involves optimizing machine learning models and computer vision pipelines for performance, accuracy, and scalability using GPU acceleration and parallel computing. You will utilize Python, C/C++, TensorFlow, PyTorch, and OpenCV to solve technical hurdles in microscopy and medical imaging. By collaborating with cross-functional teams of bioinformaticians and data scientists, you will translate research prototypes into production-ready systems that meet rigorous industrial standards for reliability and regulatory compliance within the life sciences domain.

What you'll do

  • Design and maintain high-performance machine learning and computer vision applications for life science imaging challenges.
  • Architect robust, scalable software systems that integrate seamlessly with existing industrial workflows.
  • Develop and implement state-of-the-art algorithms like convolutional neural networks, object detection, and segmentation to analyze biological data.
  • Optimize machine learning models and pipelines for improved performance, accuracy, and scalability.
  • Implement performance optimization strategies using parallel computing and GPU acceleration to ensure high throughput.
  • Ensure software meets industrial standards for reliability, security, and regulatory compliance in the life science domain.
  • Create comprehensive technical documentation including specifications, user guides, and maintenance procedures.
  • Translate research prototypes into production-ready systems by collaborating with cross-functional teams of scientists and experts.

What we're looking for

  • Bachelor's degree in Computer Science, Engineering, or a related field; Master's or Ph.D. (preferred).
  • 7+ years of professional software development experience with a focus on industrial application development.
  • Proven expertise in developing machine learning and computer vision solutions, preferably in the life sciences or a related field (preferred).
  • Demonstrated experience in performance optimization techniques, including GPU acceleration and parallel processing.
  • Proficiency in programming languages such as Python and C/C++.
  • Extensive experience with machine learning frameworks and libraries like TensorFlow, PyTorch, and OpenCV.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) is a plus.
  • Knowledge of regulatory standards and data privacy requirements in the life sciences is an advantage.

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