2 дня назад
Sr. Software Development Engineer / Principal, Software Development Engineer (AI)
168 000 - 252 000CAD
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Software Development Engineer / Principal, Software Development Engineer (AI): Building and operating high-throughput model-serving infrastructure and a production model registry for Workday's traditional ML models and LLM-powered agents with an accent on distributed systems, Python, scalability, reliability, and cost governance. Focus on scaling Ray Serve clusters, strengthening vendor integrations across GCP and AWS Bedrock, supporting model deployments, and resolving production issues at high request volumes.
Location: Vancouver, British Columbia, Canada; hybrid work with at least 50% of each quarter spent in the office or in the field
Salary: $168,000–$252,000 CAD annual base salary, plus potential bonus or commission and annual refresh stock grants.
Company
is a Fortune 500 company and AI platform for managing people, money, and workplace operations.
What you will do
- Lead technical design decisions for the AI Model Serving platform, focusing on performance, reliability, and scalability.
- Design, implement, and maintain large-scale systems for deploying ML models to production.
- Guide the evolution of 's production model registry for machine learning teams.
- Scale and troubleshoot continuous integration pipelines and respond to production alerts.
- Collaborate with software engineers, ML engineers, and data scientists across partner teams.
- Review code, document architecture, evaluate technologies, and share engineering knowledge.
Requirements
- Senior level: 6+ years of related software development experience; Principal level: 10+ years.
- Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
- Deep experience designing, building, and scaling production-grade distributed systems.
- Deep proficiency in Python and Python-based production frameworks.
- Experience with serving, scaling, and monitoring large language models and traditional ML models in production.
- Strong communication, design documentation, collaboration, mentoring, and consensus-building skills.
Culture & Benefits
- Work in a focused, collaborative, and high-performance AI Model Serving team.
- Flexible hybrid work combining office and remote time, with opportunities to meet in offices.
- Potential eligibility for a bonus or commission plan and annual refresh stock grants.
- provides reasonable accommodations during the hiring process and considers qualified applicants under applicable fair-chance laws.
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