Machine Learning Engineer - Xsolla
View Company Profile- Job Title
- Machine Learning Engineer
- Job Location
- Montreal
- Job Description
- ABOUT USAt Xsolla, we believe that great games begin as ideas, driven by the curiosity, dedication, and grit of creators around the world. Our mission is to empower these visionaries by providing the support and resources they need to bring their games to life. We are committed to leveling the playing field, ensuring that every creator has the opportunity to share their passion with the world.Headquartered in Los Angeles, with offices in Berlin, Seoul, and beyond, we partner with industry leaders like Valve, Twitch, and Ubisoft to clear the paths for innovation in gaming. Our global reach spans over 200 geographies, offering more than 700 payment methods in 130+ currencies.Longevity Opportunity Vision Enjoy the game!ABOUT YOUWe are looking for a Machine Learning Engineer who is technically expert, highly collaborative, and innovation-driven to join our AI and Data Science team. The best candidate will be someone who thrives in a fast-paced, highly collaborative, and exceptionally dynamic setting and is excited to build, deploy, and optimize machine learning models that deliver real-world impact at scale.Strong ML engineering skills, cloud deployment experience, and MLOps proficiency are essential, along with experience in managing model workflows from development to production. The ability to mentor junior engineers, collaborate with cross-functional teams, and lead complex projects to successful delivery will be key to your success in this role.If you’re passionate about developing scalable, cutting-edge machine learning systems and love building high-performance models that drive innovation, we would love to hear from you!RESPONSIBILITIES
- 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 both within the company and with external data partners, fostering collaboration and knowledge sharing.
- Drives the design and architecture of machine learning solutions by deeply understanding data usage and identifying opportunities to integrate new data sources.
- Implements emerging technologies and methodologies in machine learning, ensuring state-of-the-art solutions and continuous innovation.
- Mentors and guides junior ML engineers, promoting best practices, scalability, and efficiency in model development.
- Collaborates closely with data engineers and scientists to enhance ML workflows, ensuring models are reliable and production-ready.
REQUIREMENTS- 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 using SageMaker, Vertex AI, or Azure ML.
- Familiarity with MLOps practices, including model versioning, CI/CD pipelines (e.g., MLflow, Kubeflow, Airflow), and production monitoring.
- Expertise in data preprocessing and feature engineering using tools such as Pandas, NumPy, and Apache Spark.
- Strong programming skills in Python (preferred) or Scala.
- Experience with containerization tools like Docker and Kubernetes.
- Understanding of distributed computing and parallel processing frameworks (e.g., Ray, Dask) for scalable ML workloads.
- Experience deploying ML models to production with a focus on inference latency, scalability, and robustness.
- 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).
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Xsolla Company Size
Between 490 - 1,000 employees
Xsolla Founded Year
2005