Do they allow remote work?
Remote work is possible, see the description below for more information.
Job description
Forge alternate worlds that deepen players' lives! We're a game development studio based in Los Angeles, dedicated to the idea that online games can deliver deeper, more meaningful experiences.
As a Senior ML Engineer, you'll work closely with the broader engineering organization to deploy machine learning models that impact players in real-time. You'll be designing the systems and building the algorithms that fuel many of our in-game products, from matchmaking and content recommendations to social rewards and economic balance.
Your work will help overcome the numerous unique challenges the company faces in this space and set the precedence for S6's endeavor to be at the forefront of machine learning within gaming.
Note: This position is open to fully remote candidates.
Responsibilities:
Build the foundation for machine learning within the game of Palia, addressing interesting problems across matchmaking, player behavior, and recommended content
Apply best practices in software engineering to build robust, scalable, and maintainable machine learning systems
Develop relationships across the studio to understand and prioritize data science needs
Identify novel techniques to unsolved problems and construct live machine learning systems that impact players directly
Determine adequate metrics and/or structures for machine learning systems to monitor and evaluate their current effectiveness
Contribute to the overall data efforts at S6, setting the bar for machine learning standards and challenging technical norms
Required Qualifications:
Proficient in at least one programming language (e.g., Python, Scala, Go or Rust)
Deep understanding of a range of ML methodologies from simple solutions, such as GLMs, to complex ones, such as deep learning
Firm understanding of general concepts within statistics and probability (e.g. hypothesis testing, sampling, estimation)
Knowledge of cloud computing and cloud technologies (AWS, GCP, Azure)
Experience working with common data platforms (e.g., Databricks, AI Platform, SageMaker)
Background in building large-scale machine learning systems
Desired Qualifications:
Extensive expertise in one or more of the following areas: Recommender systems, language models, graph machine learning, reinforcement learning, optimization
Experience with processing (e.g., DataFlow, Spark, DataProc, EMR), storage (e.g., S3, Google Cloud Storage), data warehouses (e.g., BigQuery, Snowflake, Redshift), and orchestration (e.g., Airflow, Luigi)
Experience managing and deploying cloud infrastructure using containers and orchestration (e.g., Docker, Kubernetes, Terraform)
Location:
On-site in Los Angeles, CA (once back in office) unless noted above
Benefits:
Health, Vision, Dental, 401k Matching, and Equity
Relocation Assistance
Job Vertical:
PC and Console Games
Please mention that you found the job at Jobhunt.ai
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