Obsidian makes SaaS security simple with an innovative, data driven approach to protecting the SaaS space. The company was founded by veterans in endpoint security and is backed by Greylock, Wing, and Google Ventures. The leadership team includes innovators from AWS, Carbon Black, Cylance, and Shape Security, where they have delivered enterprise-grade products to thousands of customers.

Obsidian is seeking expert researchers to tackle a variety of problems that impact the bleeding edge of machine learning and artificial intelligence, with a focus on applications in computer security. We’re developing a team by drawing from the research fields in statistics, computer science, mathematics and related fields to help us achieve these goals.

At Obsidian, our research team is at the core of our business. You will be part of a highly visible and agile team working on critical problems that directly affect the company’s success. As part of the research group, you will leverage your problem-solving and analytical skills to further our capabilities, as well as publish and present new and novel research.

Specifically, you’re someone who:

• Wants to build and develop intellectual property through the research and implementation of new applications of machine learning.
• Works with internal product and engineering teams to drive development of new products.
• Has the capability to translate and implement newly published research on specific datasets and problems to validate approaches.
• Has experience wrangling large data sets and applying machine learning techniques towards real product and business problems.
• Invests time in research including publications, and is committed to keeping up with AI trends.
• Develops working prototypes of algorithms and evaluates and compares metrics based on large, real-world data sets.

Qualifications:

• MS or Ph.D. in computer science, statistics, or applied math.
• 2+ years of experience applying statistical/ML algorithms and techniques to real-world data.
• Familiar with programming languages such as Python, Scala, and Go.
• Designs scalable processes to collect, manipulate, present, and analyze large datasets in a production-ready environment.
• Experience with large volumes of data, algorithms, and prototyping.
• Experience with applying deep learning techniques in a production environment.
• Strong written and oral skills (in English).

Obsidian has offices in both the Newport Beach and Redwood City, CA area. Please only apply if you are in the United States.

At Obsidian, we value diversity and freethinkers and are proud to be an equal opportunity employer. In compliance with federal law, all persons hired will be required to submit satisfactory proof of identity and legal authorization to work in the United States.

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