Deep Learning Research Scientist — 3D Microscopy

Mindspan Institute; Cambridge (MA); On-site; USD 180,000 - 260,000; Full time

Benefits offered by this job

Comprehensive health, dental, vision,

Matching retirement contribution

Job summary

Mindspan Institute in Cambridge, MA is seeking a hands-on deep learning scientist-engineer to design, train, and evaluate DL models that turn large microscopy volumes into usable data, including segmentation, stitching, and object detection.

You will adapt pretrained vision models to our imaging modalities, run controlled experiments, document all decisions, and collaborate across Microscopy, Optics, and Automation teams to push state-of-the-art while delivering robust, production-ready

Qualifications

• Advanced degree or equivalent industry experience in computer science, electrical engineering, applied mathematics, physics, computational biology or neuroscience, or a related field.
• Direct hands-on experience designing and training deep learning models.
• Demonstrated experience with image segmentation or dense prediction on 3D or large 2D image data.
• Strong software engineering: Python, version control, testing, and code that other people can run and extend.
• Experience training on multi-GPU systems or a compute cluster.
• Excellent engineering judgment and scientific rigor, including the discipline to tell a real improvement from noise.

Responsibilities

• Design, train, and evaluate deep learning models for volumetric microscopy data, including dense segmentation, boundary and affinity prediction, and object detection.
• Build models and methods that stitch and align image tiles and serial sections into consistent volumes.
• Adapt pretrained and foundation vision models to our imaging modalities, and decide when a new architecture is worth the cost.
• Run controlled experiments: ablations, held-out evaluation, and error analysis that shows which failure modes a change fixed and which it introduced.
• Work with the pipeline and annotation teams to move models into production, and to request the ground truth that the next model needs.
• Documentation and training: keep experiment records that others can reproduce, with the reasoning behind each design choice.

Skills

Deep learning

Python

Multi-GPU training

Experiment design

Scientific rigor

Communication

Education

Advanced degree or equivalent in CS/EE/Math/Physics/CB/Neuroscience

Job description

Mindspan Institute in Cambridge, MA is seeking a hands-on deep learning scientist-engineer to design, train, and evaluate DL models that turn large microscopy volumes into usable data, including segmentation, stitching, and object detection.

You will adapt pretrained vision models to our imaging modalities, run controlled experiments, document all decisions, and collaborate across Microscopy, Optics, and Automation teams to push state-of-the-art while delivering robust, production-ready