AI/ML Job: Machine Learning Scientist

Versive

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.

Job position
Permanent

Job description
The Role:

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.

Benefits

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.

Perks

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

OR

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
[ job website ]

Let them know you found the job via https://Jobhunt.ai
(Companies love to know recruiting strategies that work)
 

Other jobs that might be interesting

Snap Inc Research Engineer, Machine Learning - Snap Inc   (November 2018)
Los Angeles, California, United States
Snap Inc. is a camera company. We believe that reinventing the camera represents our greatest opportunity to improve the way people live and communicate. Our products empower people to express themselves, live in the moment, learn about the world, and have fun...
Amazon Machine Learning Scientist, Alexa Speech - Amazon   (November 2018)
Seattle, Washington, United States
Amazon is looking for a passionate, talented, and inventive Scientist with a strong machine learning background to help build industry-leading Speech and Language technology. Our mission is to push the envelope in Automatic Speech Recognition (ASR) and Natural...
Lyft Software Engineer, Machine Learning - Lyft   (October 2018)
San Francisco, California, United States
At Lyft, community is what we are and it’s what we do. It’s what makes us different. To create the best ride for all, we start in our own community by creating an open, inclusive, and diverse organization where all team members are recognized for what they...
 
About Jobhunt.ai