Machine Learning Engineer
Description For Machine Learning Engineer
Xsolla, a leading global gaming commerce company headquartered in Los Angeles, is seeking a Senior Machine Learning Engineer to join their AI and Data Science team. This role offers an exciting opportunity to work at the intersection of gaming and advanced technology, where you'll be responsible for building, deploying, and optimizing machine learning models that deliver real-world impact at scale.
The position requires a technically expert professional who can thrive in a fast-paced, highly collaborative environment. You'll be working with a company that has a significant global presence, spanning over 200 geographies and offering more than 700 payment methods in 130+ currencies. This role combines the excitement of the gaming industry with the technical challenges of machine learning implementation.
As a Senior ML Engineer, you'll lead multiple projects, mentor junior engineers, and drive the architecture of machine learning solutions. The role demands strong expertise in ML frameworks, cloud platforms, and MLOps practices. You'll be working with cutting-edge technologies and frameworks including TensorFlow, PyTorch, and cloud platforms like AWS, GCP, and Azure.
The position offers competitive compensation ranging from $100,000 to $140,000 annually, along with comprehensive benefits including 100% company-paid medical, dental, and vision plans, unlimited flexible time off, and strong emphasis on professional development. The hybrid work environment in Montreal provides flexibility while maintaining collaborative opportunities with the team.
This is an ideal opportunity for someone passionate about machine learning who wants to make a significant impact in the gaming industry while working with a global team that values innovation, collaboration, and technical excellence. The role offers a perfect blend of technical challenges, leadership opportunities, and the chance to work on projects that directly influence the gaming commerce landscape.
Responsibilities For Machine Learning Engineer
- Leads and supports multiple Machine Learning projects, ensuring alignment with business objectives and data needs
- Oversees the Kanban process for managing ML model development, deployment, and maintenance
- Engages in technical discussions within the company and with external data partners
- Drives the design and architecture of machine learning solutions
- Implements emerging technologies and methodologies in machine learning
- Mentors and guides junior ML engineers
- Collaborates with data engineers and scientists to enhance ML workflows
Requirements For Machine Learning Engineer
- Strong proficiency in ML frameworks/libraries such as TensorFlow, PyTorch, Scikit-learn, and XGBoost
- Experience with cloud platforms (AWS, GCP, Azure), and deploying ML models
- Familiarity with MLOps practices, including model versioning, CI/CD pipelines
- Expertise in data preprocessing and feature engineering
- Strong programming skills in Python (preferred) or Scala
- Experience with containerization tools like Docker and Kubernetes
- Understanding of distributed computing and parallel processing frameworks
- Experience deploying ML models to production
- Experience in data pipelines and analytics for video-game development (Preferred)
- Experience in the advertising industry (Preferred)
- Experience in online businesses where transactions happen without human intervention (Preferred)
Benefits For Machine Learning Engineer
- 100% company-paid medical, dental, and vision plans
- Unlimited Flexible Time Off
- Professional development through training and educational opportunities
- Personalized career roadmap
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