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1
Software Engineer Intern |
Job Type: Internship Location: Boston, MA |
Responsibilities • Work with Enterprise Architecture leadership to learn, develop, and socialize best practices • Evaluate emerging platforms and tools top-to-bottom for security, ability to be deployed using modern techniques, and ease of use, and publish your evaluation results • Learn software development process that relate to financial institutions Qualifications • Proficiency in a managed language, such as C#, TypeScript/JavaScript, or Java • Proficiency in a scripted language, such as Python • Proficiency in operations & infrastructure tooling, such as Terraform or Pulumi • Some experience working in one of the 3 major cloud platforms • Must be able to review and analyze data reports and manuals; must be computer proficient. • Must be able to communicate effectively via telephone and in person. |
2
Software Engineering Intern |
Job Type: Internship Location: SAN FRANCISCO, CA |
Responsibilities • Participate in the development of a live multi-platform game. • Play a role in day-to-day coding, participating in performance profiling, optimization, and general troubleshooting as necessary. • Set goals, work towards completing them, keep the team appraised of your progress, and show off what you’ve accomplished. Qualifications • Familiar with object-oriented design and implementation; framework development experience. • Familiar with data structures, algorithms, and complexity analysis. • Exceptional problem solving and communication skills. • Knowledge of C++ and/or C#. • Majoring in Computer Science or equivalent experience. |
3
Machine Learning Engineer |
Job Type: Full-time Location: Los Altos, CA |
Responsibilities • Creating new ways to apply deep learning to solve everyday clinical problems • Image acquisition • Reconstruction • Post-processing and analysis • Designing and implementing algorithms with real-time feedback for the technician and patient • Educating team members with your expertise while also learning from their experience • Contributing to academic publications and attending conferences such as RSNA, ISMRM, SCMR, NeurIPS, CVPR Qualifications • Thorough knowledge and demonstrable experience in deep learning with TensorFlow, PyTorch, or Keras • Industrial or academic experience in software development, medical imaging, and signal processing • Ability to stay up to date with the latest research papers • Ability to create high quality code and familiarity with Agile development, code-reviewing, Python, C++, Linux, Git • Master’s or Ph.D. in a relevant area |
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