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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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