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Machine Learning Engineer, Forecast Platform

Develop ML models impacting millions of users across verticals to solve challenging business problems.
San Francisco Bay Area
Senior
$140,100 - 210,100 USD / year
1 month ago

✨ About The Role

- Develop time-dependent statistical and ML models to solve product needs across various verticals like supply/demand matching, support prediction, and infrastructure auto-scaling - Own the modeling life cycle end-to-end, including feature creation, model development, prototyping, monitoring, and maintenance - Contribute to the development of an in-house Forecasting Self-Service Platform and proprietary Forecasting Repository to enhance capabilities - Research new tools within the Forecasting space to stay updated on advancements like TimeGPT and LLM extensions - Work with a team of engineers, analysts, and product managers to develop and iterate on models that impact millions of users and tackle challenging business problems

⚡ Requirements

- Experienced in developing advanced statistical and machine learning models in a production environment, with at least a Master's degree and 3+ years of experience or a PhD and 1+ year of experience - Proficient in object-oriented programming and various ML libraries such as Python, SciKit Learn, Lightgbm, Spark MLLib, PyTorch, and TensorFlow - Deep understanding of complex systems like Marketplaces and domain knowledge in areas like Machine Learning, Causal Inference, Operations Research, and Forecasting - High-energy individual who is driven, focused, and takes ownership of their work, while being adaptable, resilient, and able to thrive in ambiguity - Growth-minded and eager to expand skill set in a hyper-growth setting, with a desire for impact and collaborative work within a team
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Machine Learning Engineer, Forecast Platform
San Francisco Bay Area
$140,100 - 210,100 USD / year
Engineering
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