- Develop cutting-edge computer vision and image understanding models to extract information from medical images
- Leverage deep learning in the context of a variety of medical data (image and text) to create solutions for image segmentation, registration, feature extraction, detection, classification, semantic understanding and inference
- Work with product managers, engineers and clinical experts to design and deploy machine learning and CV solutions
- Deploy a computationally optimized system and iteratively improve performance
- Conduct applied research and translate innovative ideas to prototype software and solutions
Requirements
- Have 3+ years of post graduate work experience
- Preferred advanced degree in Computer Science, Biomedical Engineering, Electrical Engineering, Data Science, Medical Informatics, Physics, Mathematics or related field
- Experience designing, training, and validating neural network models with deep learning frameworks, such as Pytorch or TensorFlow
- Experience developing and deploying machine learning or CV models in a commercial or academic setting
- Extensive programming skills, with a focus on Python
- Preferred experience applying machine learning to health/medical data (e.g., DICOM)
Benefits
- Stock
- Unlimited PTO
- Medical, dental, vision insurance
- Life insurance
- Maternity and Paternity Leave
- 401K matching
- Apple equipment
- Sponsorship for conferences, continuing education, etc
- Dynamic engineering role–technological innovation is at the core of our business
- Growth and learning opportunities from a startup environment include working closely with an international team of scientists, engineers, platform architects, programmers and professionals
- Do something morally benevolent!
The annual US base salary range for this full-time position is $155,000 - $180,000 + equity + benefits. This job will be based in San Francisco. Pay scale is flexible depending on experience. Within the range, individual pay is determined by work location and additional factors, including job-related skills, competencies, experience, relevant education and training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
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