🕵🏻‍♂️ What we’re looking for 🕵🏻‍♂️

We are looking for final internship Deep Learning Engineer with expertise in building and deploying scalable deep learning algorithms.

At Allisone we believe in shared ownership. We believe that every teammate is a master in his field and should be able to take action without asking permission.

You fill most of following points:

• Organized, autonomous and responsible
• Humble and still willing to grow
• Love to learn and share with teammates #sharingiscaring
• Optimistic and not afraid to solve big problems… fast
• Analytical and pragmatical

🎯 Missions

• Improve our Science: state of the art architecture, data augmentation, pre-processing and post-processing, etc.
• Understand and improve existing Deep Learning pipelines : annotation, pre-processing, training, post-processing, inference
• Work on our next big challenges like Implants recognition, 3D segmentation

💻 Our Stack

We ❤️ Open Source projects

• Frontend : ReactJS, TypeScript, Prettier, ESlint, Storybook, Apollo Client
• Backend : Hasura, Node, Python, Pytorch, GraphQL
• Gitlab for code repositories and CI/CD
• Our platform runs on an ECS cluster hosted on AWS, with PostgreSQL as our database of choice

🤗 Benefits 🤗

• Competitive package + equity
• Meal tickets
• Insurance (and warm intros to best dentists in town 🦷 😅)
• The latest in Apple’s equipment
• Partial-Remote friendly
• The chance to be a part of the journey of building the future of healthcare

🧠 Required Skills

You will be a good fit if fill most of the followings

Must-haves:

• MsC in the fields of computer vision or signal processing,
• Expertise designing Deep Neural Networks and CVs algorithms with a broad understanding of DL methods and literature,
• A perfect understanding of CNN architectures for Instance Segmentation and Object detection,
• Constant technological awareness and ability to read, understand and implement new scientific papers
• Good software engineering skills with Python (Clean code)
• The ability to clearly communicate complex ideas, both to technical colleagues and non-technical audiences,
• Good Knowledge of PyTorch, and ideally knowledge of optimizing deep learning code,
• Good knowledge of standard and advanced image processing techniques,

Nice-to-haves:

• Experience working in a startup environment
• Previous experience in Medical Imaging
• The ability to generate creative ideas and solutions to real-world problems, based on a deep understanding of the problem domain.

👥 Hiring Process 👥

1. First call to validate your motivation
2. Technical test to validate your coding skills in production
3. Technical interview
4. Reference check
5. Meeting with the CTO
6. Meeting with the CEO

Welcome on board 🚀