ABOUT US
At 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 YOU
We 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!
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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.
QUALIFICATIONS & SKILLS
- 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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$100,000 - $140,000 a year
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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 Machine Learning 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
Handling sensitive financial information/managing budgets/accessing funds
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 [careers@xsolla.com].
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 100%
company-paid medical, dental, and vision plans, unlimited Flexible Time Off, 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.
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 [https://xsolla.com/candidate-privacy-notice]. Please
direct any inquiries regarding your data privacy to careers@xsolla.com.
