Machine Learning Scientist (Computer Vision) – Contract

Remote · 3–6 Month Contract

About the Role

We are seeking a contract Machine Learning Scientist with deep hands-on experience in computer vision and image-based deep learning to support advanced genomic and biomedical imaging initiatives.

This is a fully remote contract role focused on designing, training, and optimizing deep learning models for high-dimensional biological image data. The ideal candidate has strong experience building and training vision models from scratch, working with complex imaging datasets, and delivering production-quality implementations.

This position requires independent execution, strong experimental rigor, and the ability to translate cutting-edge research into scalable modeling pipelines.

Responsibilities

• Design and train deep learning models for biomedical and genomic imaging applications.
• Develop computer vision pipelines for image preprocessing, segmentation, classification, and enhancement.
• Implement and optimize CNNs, vision transformers, and modern image architectures.
• Lead model architecture experimentation, hyperparameter tuning, and performance benchmarking.
• Build scalable training workflows for large image datasets.
• Implement reproducible experimentation practices and rigorous model validation frameworks.
• Translate academic research into applied, production-ready model implementations.
• Collaborate remotely with cross-functional scientific and engineering teams.
• Document model performance, trade-offs, and experimental outcomes clearly and thoroughly.

Required Qualifications

• PhD or Master's degree in Computer Science, Machine Learning, Biomedical Engineering, Computational Biology, or related field.
• Strong hands-on experience designing and training deep learning models for computer vision.
• Advanced proficiency in PyTorch with custom training loop implementation.
• Experience working with complex or high-dimensional image datasets.
• Deep understanding of CNNs, segmentation models, vision transformers, and representation learning.
• Experience with model evaluation, reproducibility, and experimental rigor.
• Strong Python software engineering practices.
• Ability to work independently in a remote contract environment.
• Authorized to work in the United States.

Preferred Qualifications

• Experience with microscopy, biomedical imaging, genomics imaging, or spatial biology datasets.
• Experience deploying computer vision models into production systems.
• Familiarity with MLOps tools, experiment tracking, and cloud-based training workflows.
• Prior experience in biotech or life sciences environments.