Senior Software Engineer - Machine Learning Infrastructure - Abnormal Security
New York City, NY
About the Job
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 autonomously
What 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 reviews
Must 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 collaborators
Nice 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.