Senior Backend Software Engineer - ML Infra
Remote - USA
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 projects that solve key customer pain points
- Coach and mentor junior engineers via high quality code reviews and design reviews
Must Have
- 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
#LI-ML1
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.
Job Profile
Remote - USA
Benefits/PerksBenefits Benefits & Perks Benefits & Perks page Bonus Bonus eligibility Compensation packages Comprehensive benefits Equity philosophy Individual compensation packages Restricted Stock Units RSUs
Tasks- Architect and design backend services
- Build and deploy infrastructure
- Coach junior engineers
- Collaborate with ML teams
- Mentor junior engineers
Backend Development Backend Services Cloud Cyber Security Data Coordination Data engineering Distributed Systems Email Hadoop Hive Infrastructure Machine Learning ML ML Ops ML Serving ML Training Security Spark Training
Experience5 years
EducationComputer Science Electrical Engineering Engineering Engineering field MS Related Engineering Field
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9