Uber · 5 days ago
Sr Staff Machine Learning Engineer, Delivery Matching
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Responsibilities
Lead the design, development, optimization, and productization of machine learning (ML) solutions and systems that are used to solve strategically important or vaguely defined problems.
Build ML solutions to improve Delivery marketplace efficiency while delivering magical user experience.
Lead ML engineers, provide technical leadership and vision for the team.
Qualification
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Required
PhD or equivalent experience in Computer Science, Engineering, Mathematics or a related field and 8 years of Software Engineering work experience.
Experience in programming with a language such as Python, C, C++, Java, or Go.
Experience with ML packages such as Tensorflow, PyTorch, JAX, and Scikit-Learn.
Experience with SQL and database systems such as Hive, Kafka, and Cassandra.
Experience in the development, training, productionisation and monitoring of ML solutions at scale.
Preferred
Experience in a technical leadership role and mentoring junior engineers.
Experience in modern deep learning architectures and probabilistic models.
Experience in optimization (RL / Bayes / Bandits) and online learning.
Experience in causal inference/personalization/ranking
Benefits
Uber's bonus program
Equity award
Various benefits
Company
Uber
Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.
H1B Sponsorship
Uber has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (472)
2022 (914)
2021 (830)
2020 (579)
Funding
Current Stage
Public CompanyTotal Funding
$25.21BKey Investors
PayPalToyota MotorSoftBank Vision Fund
2020-09-14Post Ipo Debt· $500M
2019-05-09IPO· nyse:UBER
2019-04-26Post Ipo Equity· $500M
Recent News
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2024-06-04
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