At Rockstar Games, we create world-class entertainment experiences.

A career at Rockstar Games is about being part of a team working on some of the most creatively rewarding and ambitious projects to be found in any entertainment medium. You would be welcomed to a dedicated and inclusive environment where you can learn, and collaborate with some of the most talented people in the industry.

Rockstar Games is on the lookout for a passionate Machine Learning Engineer with strong software development skills who possesses a passion for both games and big data. This is a full-time, in-office position based out of Rockstar’s NYC headquarters in Downtown Manhattan.

WHAT WE DO

• The Rockstar Analytics team provides insights and actionable results to a wide variety of stakeholders across the organization in support of their decision making.
• We partner with multiple departments across the company to design and implement data and pipelines.
• We collaborate as a global team to develop cutting-edge data pipelines, data products, data models, reports, analyses, and machine learning applications.
• The Machine Learning (ML) Platform vertical on the Analytics team is tasked to build out high impact ML products for internal tooling and for personalizing in-game experiences for our players.
• We design, build, and maintain the foundational infrastructure of Rockstar’s Player Analytics ML platform.
• We work alongside an exploding team of innovative data-driven decision makers directly impacting Rockstar’s future.

RESPONSIBILITIES

• Work autonomously to build solutions from end to end and innovate foundational tooling to enable Rockstar to leverage modern ML practices to drive company-wide strategy
• Architect, design, build and implement scalable internal tooling and ML-based solutions capable of handling real-time and batch workloads.
• Investigate technical gaps and propose common tooling to enable data science staff to easily use Big Data and Cloud resources with a high level of abstraction.
• Collaborate closely across Data Science, Engineering, and business stakeholders to ensure we leverage ML to provide the best player experience for our critical titles.
• Maintain and extend a common library of custom Python packages catered towards Machine Learning Engineers and Data Scientists, following proper Python OOD best practices.
• Set and enforce product engineering standards in developing ML applications in an Agile product-focused CI/CD environment.
• Use and optimize advanced distributed techniques to automate continuous training pipelines for traditional and Deep Learning (DL) models.
• Remain current with state of the industry to ensure products are meeting modern DL/ML standards and best practices.
• Innovate and produce top quality ML data applications that are easy to iterate as stakeholder requirements evolve.

QUALIFICATIONS

• 5 years in data science or similar role in the gaming, marketing, finance, or technology fields required.
• 5 years of experience in machine learning application development with Python.
• Strong background in distributed computing and cloud tech for ML products.
• Bachelor’s degree in Computer Science or related field, with a strong quantitative background.
• Deep knowledge of ML algorithms for supervised regression and classification tasks, unsupervised tasks, reinforcement learning tasks, as well as bagging, boosting, and stacking ensemble techniques.
• Extensive experience designing and developing ML pipelines for distributed training on billions of rows of high dimensional data through to production.
• Strong experience using Docker for application environment management and Python packaging and versioning practices.
• Experience designing and developing cloud based PySpark applications.
• Experience with back-end infrastructure for serving models at batch and real time with unified code base. 
• Experience developing cloud-based infrastructure tooling following proper Software Development Lifecycle practices.
• Experience building and working with infrastructure central to MLOps and how MLFlow manages the model lifecycle for model lineage tracking and environment management. 
• Passion for Rockstar Games and our titles.

SKILLS

• Strong skills in diagramming complex data application architecture and data flows.
• Good understanding of practical deep learning techniques and implementation schemes.
• Ability to develop and maintain good relations and communicate with people at all hierarchical levels.
• Proficiency in statistics such as distributions, predictive modeling, data validation, statistical testing, and regression.
• Strong problem-solving skills.
• Ability to reconcile technical and business perspectives.
• Autonomy and entrepreneurship.
• Strong team spirit.

PLUSES

Please note that these are desirable skills and are not required to apply for the position:

• Experience with Databricks, MLFlow, Airflow.
• Experience serving models for real-time applications.
• Graduate degree (MSc or Master’s, PHD), an asset.
• Game industry experience strongly desired.

HOW TO APPLY

Please apply with a resume and cover letter demonstrating how you meet the skills above. 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. In line with this commitment, Rockstar will provide reasonable accommodations to qualified job applicants with disabilities during the recruitment process in order for such applicants to be considered for the position for which they are applying, as well as to qualified employees to enable them to perform the essential functions of their roles. If you need more information about Rockstar’s reasonable accommodation policies or process, or need to request an accommodation, please contact the Human Resources Department.

If you’ve got the right skills for the job, we want to hear from you. We encourage applications from all suitable candidates regardless of age, disability, gender identity, sexual orientation, religion, belief, race, or any other protected category.