Rockstar Games

Senior Machine Learning Engineer

Manhattan, New York, United States · Senior · Full-time

Sponsorship not specified$160k-$195kDetected 13 days ago

DatabricksTerraformCI/CDMachine LearningAirflowData EngineeringData ScienceStatisticsA/B TestingLeadership

About the role

This is a full-time, in-office position based out of Rockstar's NYC headquarters in Downtown Manhattan.
If we would like to move forward with your application, a Rockstar recruiter will reach out to you to explain next steps and guide you through the process.
Rockstar is committed to creating a work environment that promotes equal opportunity, dignity and respect.

Partner with Data Scientists and business stakeholders to understand analytical & ML needs and translate them into robust ML solutions that enable us to leverage and derive insights.
Design and build end-to-end ML pipelines, including data, features, training and, serving.
Perform timely Root Cause Analysis to troubleshoot model and data-related issues
Provide thought leadership and collaborate with other team members to continue to scale our architecture to evolve for the needs of tomorrow.
Develop and support CI/CD processes.
Perform timely Root Cause Analysis to troubleshoot model and data-related issues; assist in implementation of code and process fixes.
The Rockstar Games Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.

5+ years of experience building ML systems in production.
Bachelor's degree or equivalent in an engineering or technical field such as Computer Science, Mathematics, Statistics, or strong quantitative and software background.
Experience working in Databricks and Databricks MLflow is essential.
Experience working with pipeline scheduling tools such as Airflow & Astronomer.
Experience working with CI/CD tools such as Terraform and GitHub.
Ability to push the frontier of technology and freely pursue better alternatives.
Please note that these are desirable skills and are not required to apply for the position.
Production experience deploying Databricks Genie AI and other Databricks Agentic solutions

The pay range for this position in New York State (inclusive of New York City) at the start of employment is expected to be between the range below* per year.

We partner with multiple departments across the company, leveraging analytics to measure and improve on the success and health of our games.
We collaborate as a distributed team to develop innovative data pipelines, data products, data models, reports, analyses, and machine learning applications.
We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.
Details of participation in these benefit plans will be provided if an employee receives an offer of employment.

The Machine Learning Engineering vertical within the Analytics team is tasked with designing, building, and deploying ML systems in addition to advising other verticals on how to design and build reliable, scalable and, fit for purpose models.

equal opportunity, dignity and respect.
If you need more information about Rockstar's reasonable accommodation policies or process, or need to request an accommodation, please notify your recruiter during the interview process.

This listing is sourced directly from Rockstar Games's careers page and normalized into a canonical job model.