ST LUKE LEARNING CENTER
Staff Machine Learning Engineer
ST LUKE LEARNING CENTER, San Francisco, California, United States, 94199
The role involves innovating and productionizing advanced recommendation models tailored to UberEats' use cases while designing and building large-scale machine learning systems to enhance the HomeFeed Recommendation. The position requires collaboration with cross-functional teams and leading a group of machine learning engineers and scientists to deliver impactful projects. The focus is on continuously improving the foundational models and data quality for the recommendation systems. This position emphasizes solving complex, open-ended problems related to the platform's user and merchant interactions.Required Qualifications and Skills
Candidates must possess a PhD or Master's degree in relevant fields such as Computer Science, Electrical Engineering, Mathematics, or Statistics, along with a minimum of eight years of industry experience focused on machine learning and recommendation systems. Expertise in deep learning and optimization algorithms is essential, as well as proficiency with machine learning frameworks like PyTorch and TensorFlow. Experience in coding languages such as Python, Java, Go, or C++, alongside knowledge of tools like Spark, Hive, Kafka, and Cassandra, is required. Strong communication skills are needed to effectively collaborate with cross-functional teams.We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. Its our lifeblood. It runs through our veins. Its what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. Weve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. Weve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.Share & Disclaimer
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Candidates must possess a PhD or Master's degree in relevant fields such as Computer Science, Electrical Engineering, Mathematics, or Statistics, along with a minimum of eight years of industry experience focused on machine learning and recommendation systems. Expertise in deep learning and optimization algorithms is essential, as well as proficiency with machine learning frameworks like PyTorch and TensorFlow. Experience in coding languages such as Python, Java, Go, or C++, alongside knowledge of tools like Spark, Hive, Kafka, and Cassandra, is required. Strong communication skills are needed to effectively collaborate with cross-functional teams.We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything and earn their way. Movement is what we power. Its our lifeblood. It runs through our veins. Its what gets us out of bed each morning. It pushes us to constantly reimagine how we can move better. For you. For all the places you want to go. For all the things you want to get. For all the ways you want to earn. Across the entire world. In real time. At the incredible speed of now. The idea for Uber was born on a snowy night in Paris in 2008, and ever since then our DNA of reimagination and reinvention carries on. Weve grown into a global platform powering flexible earnings and the movement of people and things in ever expanding ways. Weve gone from connecting rides on 4 wheels to 2 wheels to 18-wheel freight deliveries. From takeout meals to daily essentials to prescription drugs to just about anything you need at any time and earning your way. From drivers with background checks to real-time verification, safety is a top priority every single day. At Uber, the pursuit of reimagination is never finished, never stops, and is always just beginning.Share & Disclaimer
Share this job
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
#J-18808-Ljbffr