Senior ML & Computer Vision Engineer, Life Sciences Imaging

Molecular Devices; Bellevue (WA); On-site; USD 112,000 - 133,000; Full time

Benefits offered by this job

Paid time off

Medical/dental/vision insurance

401(k)

Job summary

Molecular Devices in Bellevue, WA is seeking a Senior Machine Learning & Computer Vision Engineer to develop industrial‑grade ML and computer vision applications for life sciences imaging. You will architect, develop, and optimize software, leveraging GPU acceleration and parallel processing while collaborating with data scientists and bioinformaticians to productionize research prototypes.

This on‑site role reports to the software engineering manager within the IN Carta team, and emphasizes

Qualifications

• 7+ years of professional software development experience, with a focus on industrial application development.
• Experience building ML and computer vision solutions for life sciences or related fields.
• Proficiency in Python and C/C++ and strong ML framework experience.

Responsibilities

• Design, develop, and maintain high‑performance ML and CV applications for life‑science imaging.
• Architect robust, scalable software systems that integrate with existing workflows.
• Collaborate with data scientists, bioinformaticians, and domain experts to productionize prototypes.
• Develop and optimize ML models and CV pipelines for performance and accuracy.
• Stay current with advancements in CV, DL, and AI relevant to life sciences.
• Code reviews, documentation, and agile development practices to maintain quality.

Skills

Machine learning

Python

C/C++

TensorFlow

PyTorch

OpenCV

GPU acceleration

Parallel processing

Cloud platforms

Agile development

Education

Bachelor's degree in Computer Science/Engineering

Master’s or Ph.D. preferred

Tools

Python

C/C++

TensorFlow

PyTorch

OpenCV

GPU acceleration

Parallel computing

AWS/GCP/Azure

Job description

Molecular Devices in Bellevue, WA is seeking a Senior Machine Learning & Computer Vision Engineer to develop industrial‑grade ML and computer vision applications for life sciences imaging. You will architect, develop, and optimize software, leveraging GPU acceleration and parallel processing while collaborating with data scientists and bioinformaticians to productionize research prototypes.

This on‑site role reports to the software engineering manager within the IN Carta team, and emphasizes