Machine Learning Scientist

Roblox Roblox · Consumer · San Mateo, CA · Data Science

Machine Learning Scientist at Roblox focused on developing and building large-scale forecasting and user outcome modeling systems, including batch prediction infrastructure and ETL/ML pipelines. Requires experience with time series modeling and foundational time series models.

What you'd actually do

  1. Develop, build, and support large scale forecasting systems for business growth
  2. Develop, build, and support modeling of long-term user outcomes
  3. Design and implement batch prediction infrastructure that ensures high-levels of accuracy, provides explainability, and quantifies uncertainty
  4. Collaborate with data science and product partners to unlock causal understanding of our business growth and to develop scalable solution for measuring ecosystem health
  5. Model and promote a high bar for technical excellence in the broader data science and ML community.

Skills

Required

  • 5+ years of industry experience in prototyping and building scalable machine learning solutions
  • Experience building scalable and robust ETL data and ML pipelines with complex upstream dependencies and accountability for downstream consumers
  • Experience with time series modeling in practice and theory
  • Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks
  • Demonstrated ability to lead project areas from scratch, and break product requirements into iterative deliverable stages
  • Strong communication skills to connect model outputs to company-level strategy and to integrate horizontal solutions into vertical team operations and systems
  • Advanced Degree (MSc or PhD) or equivalent degree in Statistics, Economics, Operations Research, Computer Science, Applied Math, Physics, Engineering, or other quantitative fields

What the JD emphasized

  • 5+ years of industry experience in prototyping and building scalable machine learning solutions.
  • Experience building scalable and robust ETL data and ML pipelines with complex upstream dependencies and accountability for downstream consumers
  • Experience with time series modeling in practice and theory. Experience with foundational time series models (i.e. transformer based) and fine tuning frameworks.

Other signals

  • Develop, build, and support large scale forecasting systems for business growth
  • Develop, build, and support modeling of long-term user outcomes
  • Design and implement batch prediction infrastructure
  • Experience building scalable and robust ETL data and ML pipelines
  • Experience with time series modeling