13 дней назад
Senior Software Engineer - Model Platform (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer - Model Platform (AI): Building model-serving infrastructure, real-time data pipelines, and ML training platforms for an email and cloud attack detection engine with an accent on scalability, streaming architectures, and high-throughput feature serving. Focus on scaling distributed services to 10x current traffic, supporting 50K+ QPS feature serving, and improving MLE velocity and detection precision and recall.
Location: Remote - USA
Company
develops technology for detecting and stopping previously undetectable email and cloud-based attacks.
What you will do
- Architect, build, deploy, and maintain model-serving infrastructure for the Detection Engine.
- Scale model-serving and data-processing services to handle 10x current traffic.
- Build platforms for detecting rapidly generated AI attacks.
- Develop real-time and near-real-time streaming pipelines and online feature-serving services.
- Build the ML training platform to improve MLE velocity and product precision and recall.
- Collaborate with machine learning engineers and data scientists, and mentor junior engineers through 1:1s, pair programming, and code and design reviews.
Requirements
- 5+ years of experience as a software engineer or in a similar role, including hands-on ML-engineering solutions.
- Experience maintaining large-scale distributed systems on AWS, GCP, or Azure.
- Experience with high-scale real-time and near-real-time data pipelines or streaming services.
- Familiarity with machine learning workflows, feature development and serving at 50K+ QPS, offline/online equivalency, and large batch jobs for training 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 privacy, plus strong cross-functional communication and problem-solving skills.
Culture & Benefits
- Work remotely from the USA.
- Use an ownership-oriented and first-principles approach to solve pragmatic customer problems.
- Work autonomously on novel problems and iterate quickly.
- Collaborate closely with machine learning engineering, data science, product, and other stakeholder groups.
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