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Game Programming Job Jobs in Quebec (NOW HIRING)

Xsolla

Lead AI/ML Engineer

Montreal, QC · On-site

CA$130K - CA$160K/yr

ABOUT YOU We're seeking a Lead AI/ML Engineer to architect and scale our data infrastructure ... Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring ...

Xsolla

Senior Software Engineer

Montreal, QC · On-site

CA$100K - CA$140K/yr

Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring ... Mentor junior engineers and contribute to a culture of engineering excellence Qualifications ...

Xsolla

Technical Lead

Montreal, QC · On-site

CA$140K - CA$190K/yr

If you're passionate about building high-performing engineering teams and love creating robust, scalable solutions that empower the gaming industry, we would love to hear from you! ABOUT US Xsolla is ...

Xsolla

Platform Engineer

Montreal, QC · On-site

CA$100K - CA$160K/yr

Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring ... With more paths to profits and ways to win, developers have all the things needed to enjoy the game.

Xsolla

Senior Backend Engineer

Montreal, QC

CA$140K - CA$160K/yr

Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring ... Collaborate with engineers, product managers, designers, and QA to deliver end-to-end solutions.

Cloud Chamber

AI Engineer

Montreal, QC · Hybrid

Worked in an AI for video games programming role. * Used Unreal Engine in a professional capacity for scripting Basic AI Systems. * Used UE5 AI Debugging Tools and Rewind Debugger. * Proficiency in ...

Xsolla

AI Engineer (Infrastructure team)

Montreal, QC · On-site +1

Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring ... Collaborate with senior engineers and leadership to evolve and execute the infrastructure AI ...

Side

Games Producer- Talent Pool

Montreal, QC · On-site +1

Side is a global video game development and services provider, offering technical and creative solutions to many of the largest developers and studios around the world. Founded in 2009 and drawing on ...

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Game Programming Job information

What is the difference between Game Programming Job vs Software Developer?

AspectGame Programming JobSoftware Developer
Required CredentialsBachelor's in Computer Science, experience with game enginesBachelor's in Computer Science or related field, coding skills
Work EnvironmentGame studios, entertainment industryTech companies, various industries
Industry UsagePrimarily in gaming and entertainmentBroad, including finance, healthcare, tech

Game Programming Jobs focus on creating interactive entertainment using game engines and graphics programming, often requiring specialized knowledge of game development tools. Software Developers have a broader scope, working on various applications across industries. While both roles require strong programming skills and similar educational backgrounds, Game Programmers specialize in game-specific technologies, whereas Software Developers work on diverse software solutions.

What are popular job titles related to Game Programming Job jobs in Quebec? For Game Programming Job jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Game Programming Job jobs in Quebec look for? The top searched job categories for Game Programming Job jobs in Quebec are:
What cities in Quebec are hiring for Game Programming Job jobs? Cities in Quebec with the most Game Programming Job job openings:
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Lead AI/ML Engineer

Lead AI/ML Engineer

Xsolla

Montreal, QC • On-site

CA$130K - CA$160K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago

Job description

ABOUT YOU
 
We're seeking a Lead AI/ML Engineer to architect and scale our data infrastructure supporting personalization, churn prediction, and recommendation systems across Xsolla's global gaming commerce platform. You'll lead the design and optimization of ML algorithms in Vertex AI, build scalable data pipelines integrating multiple sources, and establish best practices for data quality, governance, and performance. This role combines hands-on technical leadership with cross-functional collaboration, mentoring engineers, partnering with data science and backend teams to productionize ML features, and working directly with the Director of Data Platforms to translate business needs into technical solutions. You'll be instrumental in shaping our data mesh architecture while ensuring compliance, scalability, and operational excellence as we serve game developers worldwide.
 
ABOUT US
 
Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.
For more information, visit xsolla.com.
Responsibilities:
  • Design, build, and optimize algorithms in Vertex AI
  • Develop scalable data models and algorithms supporting user 360 views, churn prediction, and recommendation engine inputs
  • Lead integration across data sources: MySQL, BigQuery, Redis, Kafka, GCP Storage, and API Gateway
  • Implement CI/CD for data pipelines using Git, dbt, and automated testing
  • Define data quality checks and auditing pipelines for ingestion and transformation layers
  • Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning
  • Partner with Data Science, ML, and Backend teams to productionize machine learning features in Snowflake
  • Work closely with Legal, Security, and Infrastructure teams to ensure compliance, privacy, and governance of user data (PII)
  • Collaborate with the Director of Data Platforms and product stakeholders to translate business requirements into technical specifications
  • Tune algorithm performance
  • Establish data partitioning, clustering, and materialized views for fast query execution
  • Build dashboards and monitors for pipeline health, job success, and data latency metrics (e.g., via Looker, Tableau, or Snowsight)
  • Establish and enforce naming conventions, data lineage, and metadata standards across schemas
  • Lead code reviews, enforce documentation standards, and manage schema versioning
  • Contribute to the company's evolving data mesh and streaming architecture vision
Qualification & Skills:
  • 5+ years of experience in AI/ML engineering, with 3+ years in Vertex.ai.
  • Strong SQL and Python skills, with proven experience building ETL/ELT at scale.
  • Deep understanding of algorithm performance tuning, query optimization, and warehouse orchestration.
  • Experience with data pipeline orchestration (Airflow, Prefect, dbt, or similar).
  • Solid understanding of data modeling (Kimball, Data Vault, or hybrid).
  • Proficiency in Kafka, GCP, or AWS for real-time or batch ingestion.
  • Familiarity with API-based data integration and microservice architectures.
Nice to Have:
  • Experience lead machine learning teams or/and deploying ML feature pipelines.
  • Background in ad-tech, gaming, or e-commerce recommendation systems.
  • Familiarity with data contracts and feature stores (Feast, Tecton, or custom-built).
  • Experience managing small data engineering teams and setting technical direction
  • Strong ownership and ability to work autonomously in a fast-paced environment.
  • Excellent cross-functional communication - can translate between engineering and business.
  • Hands-on problem solver who balances velocity with reliability.
  • Collaborative mentor who raises the bar for team quality and discipline
$130,000 - $160,000 a year
Benefits:
We are passionate about fostering a supportive environment for our team, so we prioritize the physical, mental, and emotional well-being of our employees and their families through a comprehensive Benefits Program. This includes medical, dental, and vision, PTO, and a personalized career roadmap for each employee. By investing in professional development through training and educational opportunities, we ensure that our team thrives both personally and professionally. Together, we're not just building a business; we're cultivating a community that values creativity, collaboration, and the transformative power of play. 
 
Equal Employment Opportunity Statement:
Xsolla is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based on race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or any other characteristic protected by law.
We consider qualified applicants with criminal histories in accordance with the Fair Chance Act.
 
Criminal History Consideration:
For the Lead AI/ML Engineer we will conduct a background check that may include the following:
Criminal history check
Employment verification
Education verification
 
Relevance to Job Responsibilities:
The background check is relevant to this position because of the following role responsibilities:
Accessing confidential company data
Ensuring compliance with regulatory requirements
 
Rights Under the Fair Chance Act:
Applicants are encouraged to inquire about their rights under the Fair Chance Act. If you have questions regarding our hiring practices, please contact [email protected].
By submitting the following job application form, you consent to Xsolla processing your data for career-related inquiries and potential employment opportunities. We process your data in accordance with this Xsolla Privacy Notice for Job Applicants. Please direct any inquiries regarding your data privacy to [email protected].
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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