As a Machine Learning Engineer on our Data Platform team, your job is to build a scalable platform to integrate, sanitize, store and productize our massive store of customer security data. Your platform will handle well over tens-of-billions of events per day. You will partner with our Data Scientists and Data Engineers to use this data to intelligently identify, detect and respond to known and future security threats events. The output of your ML algorithms will keep our customers more secure than ever before, while minimizing the cost of doing so.
Customer Comes First- We provide businesses with cybersecurity protection so they don't have to build their own internal security team.
Open Communication-We don't simply request dissenting opinions, we seek individual opinions on important decisions.
Safe Environment to Fail-Resilience is built into our engineering culture.
Continuous Feedback-We have a strong culture of documenting feedback.
Data-Driven-Decisions are never made without supporting data.
Start-to-Finish Ownership-Engineers own their work from ideation to release.
Fast-Paced Environment-Always be shipping!
Heavily Team Oriented-We have a strong founding team and recognize the importance of collective experience and skill sets.
If this sounds like a culture you want to be a part of come build the most effective, hyperscale AI-powered MSSP. We foster a culture centered upon our customers and rooted in mutual trust and relentless execution, where we continuously learn and improve, like the AI systems we develop. We are backed by numerous venture capital firms we are well funded and ready to grow.
Develop data set processes for data modeling, mining and production
Create automation to rapidly and reliably release our models to production
Improve model reliability, efficiency and quality
An innovative and passionate spirit, an ability to overcome technical issues in a cooperative environment, a commitment to ship quickly, and familiarity with agile software development practices
Solid knowledge of Computer Science fundamentals (object-oriented design, data structures and algorithm design, problem solving, and complexity analysis)
The ability to deal with ambiguity, to communicate well with partner teams, and to turn empathy for the customer into a delightful user experience
Expertise programming with Python
Experience with both SQL and NoSQL databases
Familiarity with ML algorithms and techniques
Our Tech Stack:
AWS, Python, GoLang, Cloud9, GitHub, ELK, Cloudera
Two phone screens (one intro, one deep-dive) and a multi-hour onsite (meet the team, behavioral/situational interviews, technical interview with coding/design/problem solving). Ample time to ask questions (we encourage this!)
Applicants must be authorized to work in the U.S.
CyberCoders, Inc is proud to be an Equal Opportunity Employer
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or any other characteristic protected by law.
Your Right to Work – In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire.