ML Data Analysis Tooling Engineer III - Ursus, Inc.

SUMMARY:

Our client's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different type of company that connects billions of people around the world, gives them ways to express what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, we are builders at heart. Our global teams are constantly iterating, solving problems, and working to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities we're just getting started.

Our goal is to explore, innovate and design Client interfaces and hardware subsystems for the next generation of virtual, augmented, and mixed reality experiences. We are looking for a skilled and motivated Software Engineer to join our team. We are specifically looking for a candidate with experience in C++ and who can work with a team of researchers who are building prototype research devices. More broadly, the chosen candidate will work with a diverse and highly interdisciplinary team of researchers and engineers and will have access to cutting edge technology, resources, and testing facilities. The ideal candidate will be someone who likes to learn constantly, dive into new areas with unfamiliar technologies, and embrace the ambiguity of AR/VR problem solving. They will also be someone who likes to collaborate in a team environment across multiple scientific and engineering disciplines, making the architectural tradeoffs required to rapidly deliver software solutions.

RESPONSIBILITIES:

• Analyze, evaluate, design, develop, integrate, debug and test data analysis tools
• Build software, tools, infrastructure, documentation and other systems that enable research scientists to analyze their data and iterate on their experiments
• Educate researchers and other team members on software engineering best practices, tips and techniques
• Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency

QUALIFICATIONS:

• BS degree in the field of computer science or related field
• 5+ years experience with C++, including C++11 (and up) features and principles
• Ability to communicate in the lab - working collaboratively cross-functionally
• Build software, tools, infrastructure, documentation and other systems that enable research scientists to analyze their data and iterate on their experiments
• Educate researchers and other team members on software engineering best practices, tips and techniques
• Write clean readable code, debug complex problems that span systems, prioritize ruthlessly and get things done with a high level of efficiency
• Experience shipping one or more products using standard software development toolsets such as source control and continuous integration systems
• Ability to work/communicate cross-functionally

• Python

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