Xsolla4mo ago

CAD 130000–160000/yr

Lead AI/ML Engineer

Canada·MontréalFull timelead

Data ScienceOtherMachine Learning EngineerData

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Requirements Summary

Technical Tools

airflowawsbigquerydbtgcpkafkalookermysqlpythonredissnowflakesqltableauci-cdcode-reviewdatabase-designecommerceetlmachine-learningmentoringperformance-optimizationsql-optimization

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.

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

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.

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

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 careers@xsolla.com.

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 careers@xsolla.com.

Location & Eligibility

Where is the job

Montréal, Canada

On-site at the office

Who can apply

Open to applicants worldwide

Listed under

Worldwide

Listing Details

Posted: January 24, 2026
First seen: March 26, 2026
Last seen: May 26, 2026

Posting Health

Days active: 60
Repost count: 0
Trust Level: 42%
Scored at: May 26, 2026

Signal breakdown

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Xsolla

lever

Xsolla is a global video game commerce company that provides developers and publishers with tools and services for funding, marketing, launching, and monetizing games across multiple platforms.

Employees

750

Founded

2005

Domain

xsolla.com

Jobs

View 173 jobs

View company profile

Salary

CAD 130000–160000

per year