Lead Machine Learning Engineer
Job in
Montreal, Montréal, Province de Québec, Canada
Listed on 2026-09-23
Listing for:
Xsolla
Full Time
position Listed on 2026-09-23
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Engineering
Job Description & How to Apply Below
Location: Montreal
Step into the Lead Machine Learning Engineer role at Xsolla in Los Angeles, California. Drive pioneering ML features and collaborate with diverse teams to enhance the gaming experience.
As Xsolla’s Lead Machine Learning Engineer, your 5+ years of experience, including 3+ years in Vertex.ai, will contribute to developing comprehensive algorithms and data models. You'll also mentor teammates while leading integration across multiple data sources. This pivotal role ensures compliance with privacy regulations and optimizes performance for innovative gaming solutions.
Key Responsibilities:
• Design cutting-edge algorithms in Vertex.ai
• Mentor junior engineers on data modeling
• Work with diverse teams on ML feature production
• Drive data pipeline orchestration and performance tuning
• Create dashboards for monitoring system health
Requirements:
• 5 years working in AI/ML engineering
• Proficient in SQL and Python programming
• Experience with ETL/ELT at scale
• Skilled in data modeling techniques
• Background in gaming or e-commerce preferred
Influence the future of gaming technology through your leadership and AI innovation at Xsolla.
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×