Senior Software Engineer – Model Platform
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Job Description
Senior Software Engineer building scalable model-serving, streaming, and ML-training infrastructure for Abnormal AI’s email and cloud-attack detection platform. Partnering with MLE and Data Science teams.
Responsibilities:
- Architect, design, build, deploy, and maintain Model Serving infrastructure supporting a world-class Detection Engine
- Own projects scaling model serving and data processing services to handle 10x current traffic
- Build the platform for fighting rapidly generated AI attacks
- Own real-time and near real-time streaming pipelines and online feature serving services
- Build Abnormal’s ML Training platform to improve MLE velocity and product precision and recall
- Collaborate with MLE and Data Science teams by distilling feedback, correlating it to strategy, and executing
- Coach and mentor junior engineers through 1-on-1s, pair programming, code reviews, and design reviews
Requirements:
- 5+ years of experience as a Software Engineer or in a similar role, with hands-on experience building ML-engineering focused solutions
- Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure
- Strong grasp of cloud-based engineering best practices
- Experience maintaining real-time and near real-time data pipelines or streaming services at high scale
- Ability to collaborate effectively with cross-functional teams, including data scientists, machine learning engineers, product managers, and other stakeholders
- Ability to translate requirements into actionable technical tasks, communicate progress clearly, and adapt to feedback
- Excellent problem-solving skills and ability to work independently in a fast-paced environment
- Familiarity with machine learning workflows and requirements supporting MLE teams, including feature development and serving at 50K+ QPS, offline/online equivalency, and large batch jobs for data gathering and training of tree and deep learning models
- Experience with streaming data architectures and real-time processing
- Knowledge of security and compliance frameworks related to data engineering and data privacy
Benefits:
- Pre-employment checks for successful candidates, in line with prevailing legislation and Abnormal AI's security and privacy standards
- Equal opportunity employment
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