Machine Learning Engineer
Machine Learning Engineer
Posted on :
02-05-2025
Employer Active
1 Vacancy
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Job Description
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 seeking a Machine Learning Engineer that is a thinker and a handson problem solver who bridges the gap between business and data. You are skilled at translating what are the business constraints and applying the best models to get the best monetization for our partners. You will collaborate with crossfunctional teams including product manager and ad operations to understand requirements define objectives and deliver impactful solutions. Adept in statistical modeling machine learning and data storytelling they ensure that insights are not just technically sound but aligned with realworld business needs. While you will have data engineer partners you are self sufficient and able to develop models end to end and put them into production.
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 stateoftheart 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 productionready.
REQUIREMENTS
- Strong proficiency in ML frameworks and libraries such as TensorFlow PyTorch ScikitLearn XGBoost and deep learning architectures.
- 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 for ML (e.g. MLflow Kubeflow Airflow) and monitoring deployed models.
- Expertise in data preprocessing and feature engineering using tools such as Pandas NumPy and Apache Spark.
- Strong programming skills in Python (preferred) or Scala with experience in containerization tools like Docker and Kubernetes.
- Understanding of distributed computing and parallel processing frameworks such as Ray or Dask for scalable ML workloads.
- Experience in deploying ML models to production optimizing inference latency and ensuring model robustness in realworld applications.
NICE TO HAVE
- Experience in data pipelines and analytics for videogame development
- Experience in Advertising industry
- Experience in online businesses where transactions happen without human intervention.
$100000 $140000 a year
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 .
Benefits:
We are passionate about fostering a supportive environment for our team so we prioritize the physical mental and emotional wellbeing of our employees and their families through a comprehensive Benefits Program. This includes 100 companypaid 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 were not just building a business; were 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 careerrelated 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
Employment Type
Full Time
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