thatgamecompany
Machine Learning Engineer
thatgamecompany, Los Angeles, California, United States, 90079
That
game
company is best recognized for creating award-winning, enriching, and meaningful game titles such as Journey, Flower, and flOw. Our most recent game, Sky, is our most complex undertaking to date. It is a social network built around the values inherited from a powerful humanistic story. It is a live experience continuously evolving inside a global online theme park.
Sky has an amazing and vibrant community of socially minded players, and we are tirelessly working on solutions to deepen player interaction and create lasting friendships. We are seeking an experienced Machine Learning Engineer to help us build new ways to connect our players via in-game matchmaking systems.
We expect you to:Have deep passion for video games and think on behalf of our players.Be curious, a problem solver and a self-starter who is comfortable taking risks. Know how and when to apply your knowledge, and be willing to share with the rest of us.Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space.Be able to complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication.
Required Skills:
3+ Years of Experience in applied Data Science or Machine Learning.Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem.Knowledge of Machine Learning and Statistical concepts including experimental design, hypothesis testing, regression, classification, and clustering.Experience building and deploying complex and scalable machine learning models in production environments.Experience writing clean, efficient code in Python, Java, or Scala.Experience writing optimized SQL Queries to build and analyze datasets.Some exposure to a modern Cloud Platform, preferably GCP.Some knowledge or experience with Big Data Processing Tools and Formats like BigQuery, Redshift, Snowflake, Spark/Beam, Parquet, Iceberg.Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built and why you built it.Eager to learn new skills and always open to jump out of your comfort zone.
Preferred Experience:
Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:Experience with Graph Databases or Matchmaking.Experience with Collaborative Filtering or User Vectorization.Experience with Typescript and Protobuf.Experience with Source Control, CICD, or Infrastructure as Code.Experience in the video gaming industry.Experience in a small company with a startup feel.Interest in technical writing and sharing your work.
We look forward to meeting you!
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
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game
company is best recognized for creating award-winning, enriching, and meaningful game titles such as Journey, Flower, and flOw. Our most recent game, Sky, is our most complex undertaking to date. It is a social network built around the values inherited from a powerful humanistic story. It is a live experience continuously evolving inside a global online theme park.
Sky has an amazing and vibrant community of socially minded players, and we are tirelessly working on solutions to deepen player interaction and create lasting friendships. We are seeking an experienced Machine Learning Engineer to help us build new ways to connect our players via in-game matchmaking systems.
We expect you to:Have deep passion for video games and think on behalf of our players.Be curious, a problem solver and a self-starter who is comfortable taking risks. Know how and when to apply your knowledge, and be willing to share with the rest of us.Be comfortable with ambiguity and able to navigate it to iteratively refine the problem space.Be able to complete a project from start to finish. That includes requirements gathering, experimentation, model development, deployment, monitoring, documentation, support, and communication.
Required Skills:
3+ Years of Experience in applied Data Science or Machine Learning.Knowledge of Machine learning and Statistical methods (Classical ML, Deep Learning, NLP, and Anomaly Detection) and the ability to identify the most suitable solution for the problem.Knowledge of Machine Learning and Statistical concepts including experimental design, hypothesis testing, regression, classification, and clustering.Experience building and deploying complex and scalable machine learning models in production environments.Experience writing clean, efficient code in Python, Java, or Scala.Experience writing optimized SQL Queries to build and analyze datasets.Some exposure to a modern Cloud Platform, preferably GCP.Some knowledge or experience with Big Data Processing Tools and Formats like BigQuery, Redshift, Snowflake, Spark/Beam, Parquet, Iceberg.Strong communication skills, desire to understand the data you’re using, and the ability to explain what you built and why you built it.Eager to learn new skills and always open to jump out of your comfort zone.
Preferred Experience:
Any of the following would be highly preferred, but most of all, we value team players who are eager to learn and contribute:Experience with Graph Databases or Matchmaking.Experience with Collaborative Filtering or User Vectorization.Experience with Typescript and Protobuf.Experience with Source Control, CICD, or Infrastructure as Code.Experience in the video gaming industry.Experience in a small company with a startup feel.Interest in technical writing and sharing your work.
We look forward to meeting you!
Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.
#J-18808-Ljbffr