Senior Software Engineer (Model Platform)
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Oct 8, 2026.
Join Abnormal AI, a company dedicated to making the world a safer place by building advanced technology to identify and stop email and cloud-based attacks. As a Senior Software Engineer, you will be responsible for architecting, designing, building, deploying, and maintaining the Model Serving infrastructure that supports our Detection Engine. You will also own projects that scale our model serving and data processing services, build the platform for fighting against AI attacks, and collaborate closely with the MLE and Data Science teams. Additionally, you will coach and mentor junior engineers.
Missions
- Architect, design, build, deploy, and maintain Model Serving infrastructure that supports a world-class Detection Engine.
- Own projects that scale our model serving and data processing services to handle 10x the traffic we serve today.
- Build the platform for fighting against rapidly generated AI attacks and own real-time, near real-time streaming pipelines.
Profil recherché
- A drive to solve meaningful & pragmatic problems for real-world people- An ability to iterate in real-time - solving novel problems, quickly and autonomously
- A first principles approach to building scalable, customer-centric solutions
- An ownership and impact-oriented outlook on your efforts and growth
- An ability to iterate in real-time-solving novel problems, quickly and autonomously
- Excellent problem-solving skills and the ability to work independently in a fast-paced environment. You can break down complex challenges into manageable steps and iterate on solutions, balancing immediate needs with long-term scalability
- Experience with maintaining real-time and near real-time data pipelines or streaming services at high scale
- Experience maintaining large-scale distributed systems on cloud platforms such as AWS, GCP, or Azure, including a strong grasp of cloud-based engineering best practices
- Knowledge of security and compliance frameworks as they relate to data engineering and data privacy
- Experience with streaming data architectures and real-time processing
- 5+ years of experience as a Software Engineer or in a similar role, with hands-on experience in building ML-engineering focused solutions
- Familiarity with machine learning workflows and requirements to support MLE teams effectively. This includes feature development and serving at 50K+ QPS, offline/online equivalency, large batch jobs for data gathering and training of tree and deep learning models
- Proven ability to collaborate effectively with cross-functional teams, including data scientists, machine learning engineers, product managers, and other stakeholders. You can translate requirements into actionable technical tasks, communicate progress clearly, and adapt to feedback