Job Description

AI/ML Imaging Engineer at Biomedical Diagnostics Startup

We are a Boston-area biomedical diagnostics startup company seeking a highly skilled AI/ML imaging engineer to join our team.

Your mission will be to innovate lean, robust, high-performance ML models and pipelines for diagnostic imaging, to improve patient outcomes against some of the most common causes of death in the world.

Required Qualifications

• Proficient in Python and experienced with deep learning frameworks such as PyTorch and TensorFlow
• Demonstrated expertise in computer vision and image processing methodologies
• In-depth experience with image-to-image translation, e.g. U-Net architectures, Generative Adversarial Networks (GANs), super-resolution techniques
• Strong understanding of underlying machine learning principles and best practices (what works well and why, what fails, what is proven, what is still unknown)
• Exceptional analytical and problem-solving skills with a keen attention to detail
• Strong record-keeping and written and oral communication skills
• Professionalism, a sense of mission, and a desire to work with others who feel the same in a fast-paced, collaborative research environment

Preferred Qualifications

• Advanced degree (PhD or MS) in computer science, machine learning, or related field
• Exceptional publication record (arXiv) and/or publication in reputable AI/ML conference proceedings (e.g., NeurIPS, CVPR, ICCV)
• Familiarity with diverse imaging modalities and imaging scales (e.g. astronomy, microscopy)

Particulars

• Company headquarters: Beverly, MA; on-site work required; 5 days/week
• Competitive salary and equity compensation package
• Comprehensive health benefits and flexible paid time off

Why Join Us?

With the above qualifications, you could work anywhere. But ask yourself: do you want to be just a cog in a machine? Punching a clock for a paycheck? Working on something boring or meaningless? Or do you want to be a mission-critical part of building something to save lives? If the answer to that last question is “yes,” please send a short (~250-word) cover letter and resume/CV, including any links to your GitHub or other relevant work, to [email protected] .

Note: Your cover letter should:

• Explain what it is about us, and/or about your background, that makes you interested in us specifically (~100 words)
• Mention one concept, idea, invention, or discovery that you’ve come across in the past year or so that you’ve found really cool , and describe why (~100 words)

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