Senior Software Engineer – Model Platform

Job not on LinkedIn

🔥 1 hour ago

🇨🇦 Canada – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Abnormal Security

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🔒 Cybersecurity

Cybersecurity

Abnormal Security is a provider of cloud-native email security solutions that specializes in preventing a wide array of cyber threats. The company focuses on protecting businesses from attacks such as phishing, malware, ransomware, and social engineering, ensuring total protection for corporate email systems. Their offerings include business email security, phishing detection, and securing against account takeovers, making them a leader in the computer and network security space.

📋 Description

• 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