Senior Software Engineer - Machine Learning Infrastructure
Description:
Job Description
About the Role
Abnormal Security is looking for a Senior ML Infra Engineer to join the Detection Team. The Detection Division is focused on building the world's most advanced technology for identifying and stopping email and cloud-based attacks that were previously undetectable and help make the world a safer place. As an ML Infra Engineer focused on building systems for Detection's Signal Platform, you will be responsible for making feature development at Abnormal a fast, responsive, stable, and confident experience for Machine Learning Engineers.
The ideal candidate would have the following qualities:
A first principles approach to building scalable, customer-centric solutions
A drive to solve meaningful & pragmatic problems for real-world people
An ownership and impact oriented outlook on your efforts and growth
An ability to iterate in real-time-solving novel problems, quickly and autonomously
An ability to iterate in real-time - solving novel problems, quickly and autonomouslyWhat you will do
Architect, design, build, and deploy backend services and infrastructure that support a world-class Detection Engine
Ownership projects that enable us to meet ambitious goals for, such as building the plan to scale components of Detection's ML Platform, such as our Behavioral Aggregate Systems, by 10x
Collaborate closely with MLE teams, by distilling feedback, correlating it to our strategy, and executing on the
Coach and mentor junior engineers via high quality code reviews and design reviewsMust Haves
5+ years of professional experience as a hands-on engineer building data-oriented products and/or ML systems/products
Experience with real-time, online, and/or high-throughput & low-latency distributed systems
Knowledge of key ML Ops team technologies (Spark, Data platform and Data coordination, Hadoop, Hive, feature platform serving systems, ML training and ML serving platforms, etc.)
Knowledge of key ML Ops team technologies (Spark, Data platform and Data coordination, Hadoop, Hive, feature platform serving systems, ML training and ML serving platforms, etc.)
Works well with other stakeholders - has worked with cross-functional teams to drive projects over the finish-line.
High standards - sets high standards and expectations for project execution for themselves and for collaboratorsNice to Have
MS degree in Computer Science, Electrical Engineering or other related engineering field
Experience with big data or statistics
Experience in ML development
Familiarity with cyber security industry
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At Abnormal Security certain roles are eligible for a bonus, restricted stock units (RSUs), and benefits. Individual compensation packages are based on factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons. We know that benefits are also an important piece of your total compensation package. Learn more about our Compensation and Equity Philosophy on our Benefits & Perks page.
Base salary range:
$175,800—$206,800 USD