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Junior Game Programming Jobs in Quebec (NOW HIRING)

Xsolla

Lead AI/ML Engineer

Montreal, QC · On-site

CA$130K - CA$160K/yr

Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring ... Mentor and guide junior AI/ML engineers on data modeling and algorithm performance tuning * Partner ...

2K

Senior Rendering Programmer

Montreal, QC · On-site

You'll collaborate with a passionate group of game developers including our Lead Rendering ... Mentor junior programmers. What We'll Do Together: At Cloud Chamber, we are champions of high ...

Ubisoft

Machine-Learning Programmer

Montreal, QC

Company Description Ubisoft is a global leader in gaming with teams across the world creating ... Mentor junior and mid-level team members on ML best practices and experimental rigor. * Serve as a ...

New

2K

Senior Gameplay Animator

Montreal, QC · On-site

... game, using both keyframe and augmented mocap techniques. * Work closely with programmers and ... Mentor, coach, and train more junior animators. What We'll Do Together: At Cloud Chamber, we are ...

Cloud Chamber

Senior Gameplay Animator

Montreal, QC

... game, using both keyframe and augmented mocap techniques. * Work closely with programmers and ... Mentor, coach, and train more junior animators. What We'll Do Together: At Cloud Chamber, we are ...

2K

Senior Combat Designer (AI archetype)

Montreal, QC · On-site

... engineers to create industry-leading AI characters and combat gameplay. You will be responsible for ... A strong empathetic team member, able to take ownership over your tasks and mentor more junior ...

Parallelz

Principal Graphics Engineer

Montreal, QC · On-site

We are equally interested in candidates with a deep graphics engineering background (game engines ... as a junior pair you direct and verify, not a passenger. Requirements This is a technically ...

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Junior Game Programming information

What are the key skills and qualifications needed to thrive as a Junior Game Programmer, and why are they important?

To thrive as a Junior Game Programmer, you need a solid grasp of programming fundamentals, mathematics, and computer science concepts, usually supported by a relevant degree or coursework. Familiarity with game development engines like Unity or Unreal Engine, version control systems like Git, and knowledge of languages such as C# or C++ are commonly required. Creativity, strong problem-solving abilities, and effective teamwork are standout soft skills in this role. These skills and qualities are crucial for building efficient, engaging games and collaborating effectively with multidisciplinary teams.

What are some common challenges faced by junior game programmers when working on a development team?

Junior game programmers often encounter challenges such as adapting to large, complex codebases and learning to work within established development pipelines. They may also find it demanding to balance feature requests with debugging and optimization tasks, all while meeting project deadlines. Collaboration is key, as junior programmers frequently interact with artists, designers, and senior developers to implement gameplay features and resolve technical issues. Proactively seeking feedback and being open to learning from teammates can help overcome these initial hurdles and lead to professional growth.

What is a Junior Game Programmer?

A Junior Game Programmer is an entry-level developer who assists in creating and maintaining the code that makes video games run. They typically work under the supervision of more experienced programmers, contributing to tasks such as gameplay mechanics, bug fixes, and tool development. Junior Game Programmers often use languages like C++ or C#, and collaborate closely with designers, artists, and other team members to bring game features to life. This role is ideal for those new to the game industry and looking to gain hands-on experience.

What is the difference between Junior Game Programming vs Game Programmer?

AspectJunior Game ProgrammingGame Programmer
Required CredentialsTypically a relevant degree or coursework, some experienceSame as Junior, but often with more professional experience
Work EnvironmentEntry-level, team-based game development projectsMore complex projects, possibly leading small teams
Employer & Industry UsageIndie studios, AAA companies, mobile game developersSame as Junior, but with higher expectations for skill and responsibility

Junior Game Programming roles are designed for entry-level developers with foundational skills, working under supervision. Game Programmers typically have more experience, handling complex coding tasks independently. The main difference lies in experience level and project complexity, with Junior roles serving as stepping stones to full Game Programmer positions.

What are the most commonly searched types of Game Programming jobs in Quebec? The most popular types of Game Programming jobs in Quebec are:
What are popular job titles related to Junior Game Programming jobs in Quebec? For Junior Game Programming jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Junior Game Programming jobs in Quebec look for? The top searched job categories for Junior Game Programming jobs in Quebec are:
Junior Game Programming jobs near you
Infographic showing various Junior Game Programming job openings in Quebec as of July 2026, with employment types broken down into 37% Full Time, 43% Part Time, and 20% Contract. Highlights an 48% In-person, and 52% Remote job distribution.
Lead AI/ML Engineer

Lead AI/ML Engineer

Xsolla

Montreal, QC • On-site

CA$130K - CA$160K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 21 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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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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