Vacancy caducado!
An industry leader in the Cyber Security space is bridging the gap between Machine Learning and cutting out bad actors on the internet.
The Advanced Analytics Team applies expertise in machine learning, large-scale computational architectures, data visualization, and simulation to solve hard research challenges in high impact areas including cybersecurity, biological systems, and distributed sensor platforms. We've built automated malware detection systems, deep learning models that can semantically label source code, prototypes to visualize graphs with millions of nodes, and a distributed framework that can process and store sensor network streams on the scale of 100 MB/s. They are looking to hire Data Scientists and Machine Learning Engineers. Required Skills & Experience- Experience applying machine learning, data mining, natural language processing, data visualization, or similar techniques to challenging problems
- Programming experience with Python, C/C, Java, or a comparable language
- Ability to work collaboratively on multidisciplinary teams
- Comfortable using statistical analysis, data visualization, or mathematical modeling to illuminate complex problems and communicate research results
- BS degree in Computer Science, Electrical Engineering, Applied Math, or related technical field, or equivalent practical experience.
- Familiarity with software development tools and platforms (Git, Linux, etc.)
- Familiarity with data science tools (Keras, Sklearn, Spark, D3, etc.)
- MS degree or equivalent practical experience
- Demonstrations of prior research (blog posts, GitHub repos, publications, etc.)
- 90% Hands On
- 10% Team Collaboration
- Competitive Salary: Up to $170k/year, DOE
- Medical Insurance & Health Savings Account (HSA)
- 401(k)
- Paid Sick Time Leave
- Pre-tax Commuter Benefit
Vacancy caducado!