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As a deep learning research engineer, you will conduct research projects to advance the scientific front of AI.

Your work will be done both solo and in collaboration with other deep-learning engineers and researchers. We are looking for someone versatile, displays leadership qualities, and is passionate about taking on new challenges.

As a deep learning research engineer , you will conduct empirical research of the highest quality, using and developing state-of-the-art techniques and algorithms.
Responsibilities
Design and implement DL algorithms to deliver advanced computer vision solutions.
Lead and carry out effective scientific research by formulating meaningful research questions, conducting experiments, organizing results, concluding and communicating results in presentations, blog posts, and scientific papers, and integrating outcomes into our product
Manage individual customer projects. Handle priorities, deadlines, and deliverables, and conduct frequent interactions with our customers highly-skilled deep learning engineers and scientists
Mentor and collaborate with deep learning engineers

Required Quantitative Researcher
Come, Grow with us!
Are you smart, curious, nimble, relentless leader and quick learner enough to tackle one of societys largest emerging problems?
If you answer yes to all of the above, we might have one of the most interesting Quantitative Researcher roles out there, just for you.
We are reinventing successful aging by working with many of the largest insurance carriers and their policyholders to introduce game changing wellness and financial products.
Responsibilities:
Drive research plan all the way from translating complex business requirements to research questions, to communicating actionable results back to the stakeholders
Navigate a complex world with operational, research, financial and regulatory constraints and be able to find creative solutions that satisfy all of these constraints
Apply proper statistical methods and tools to measure results of large scale non-standard clinical trials that we operate
Lead the efforts to rapidly explore, discover and document new sources of data we get; efforts also require understanding the clinical or business logic that govern them and how they should pertain to our system overall.
Contribute to and maintain a repository of analysis code base to be continuously used for delivery of insights internally and externally.