Machine Learning Scientist at Versive
Seattle, Washington, United States
🇺🇸 (Posted Jul 19 2018)
About the company
Versive helps organizations focus on the cybersecurity threats that really matter. The Versive Security Engine discovers and makes sense of ongoing adversary campaigns inside corporate networks, instead of filling dashboards with hundreds of alerts. Our less-is-more approach generates about 5 high-fidelity ThreatCases per week by automating security expertise and understanding normal network behavior through machine learning.
At Versive, we want to cut through the hype and overblown claims surrounding AI and ML and help our customers successfully tackle their biggest challenges. We built our own proprietary machine learning platform on top of open-source distributed computing technologies such as Apache Spark to provide automated and explainable artificial intelligence-driven solutions to our customers. As a Machine Learning Scientist, you will continue to advance our platform for cyber, and apply it to problem spaces beyond cybersecurity.
What you will do:
Full-cycle delivery: Understand the problem; generate ideas; prove the idea works; build the solution as production software; assist with deployment to customers.
Machine Learning: Use your expertise in statistics and machine learning to analyze massive, messy real-world data sets and then create solutions that are general, repeatable, and automated.
Quality Software: Make it easy to get high quality, automated, results --- without expert intervention. Build scalable products and reusable libraries in Python, Scala, and C++, taking advantage of Spark, Hadoop, and other tool stacks as appropriate.
Story telling: Present findings (e.g., experiments, forecasts, cost-benefit analysis) and business recommendations to stakeholders, internal and external, with quantitative information.
Interact cross-functionally: Work with people across teams to find creative solutions and deliver them.
Competitive base salary and generous equity.
Full medical/dental/vision package.
Additional benefits that support commuting, day care, medical and retirement savings
Flexible vacation policy and paid holiday schedule.
High impact work that helps shape the strategic direction of the company.
Sharp, motivated co-workers in a fast-paced office environment downtown Seattle.
Fully stocked kitchen and lunches are provided regularly throughout the week.
Skills & requirements
What you will bring:
PhD. in Computer Science, Mathematics, Electrical Engineering, Statistics or related field, with a focus on Machine Learning, and relevant work or internship experience
M.S. AND 3 + years of applied machine learning at scale preferably using Python, Scala, Java, or C++
CS fundamentals: You have earned at least a B.S. in Computer Science, Computer Engineering, or related degree and you have a strong ethos of continuous learning.
Relevant Experience: You have a proven track record of delivering machine learning products that solve real customer problems.
Design and execution: You are comfortable with a wide set of machine learning approaches and designing the features and data processing to actually make them work.
Instructions how to apply
see the website
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