Uber
Senior Machine Learning Engineer - Data Gen AI team
Uber - San Francisco, California, United States, 94199
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Overview
Senior Machine Learning Engineer - Data Gen AI team
Join to apply for the
Senior Machine Learning Engineer - Data Gen AI team
role at
Uber Senior Machine Learning Engineer - Data Gen AI team
Join to apply for the
Senior Machine Learning Engineer - Data Gen AI team
role at
Uber Get AI-powered advice on this job and more exclusive features. About The Role
We are looking for a highly-motivated software engineer to join our Data GenAI team, which focuses on providing machine learning/GenAI solutions to improve both Uber's data utilization productivity and large scale data processing efficiency. You will work on a variety of projects including GenAI applications, predictive machine learning models and infrastructure software engineering. It is a special opportunity for you to work in the cross-road of machine learning and data infrastructure and make a great impact on the company. About The Role
We are looking for a highly-motivated software engineer to join our Data GenAI team, which focuses on providing machine learning/GenAI solutions to improve both Uber's data utilization productivity and large scale data processing efficiency. You will work on a variety of projects including GenAI applications, predictive machine learning models and infrastructure software engineering. It is a special opportunity for you to work in the cross-road of machine learning and data infrastructure and make a great impact on the company.
What the Candidate Will Do ----
Build GenAI multiagent system to provide revolutionary tooling for thousands of internal users. Build predictive machine learning models for a range of applications to optimize uber's petabyte scale data processing system. Collaborate with a world-class data infrastructure team, provide insights via data analysis, visualization and other investigations. Explore novel ideas (e.g. LLM finetuning) towards improving Uber's data storage and computation efficiency.
Basic Qualifications
6+ years of full-time engineering experience in ML/AI Proficiency in at least one programming language (e.g., C++, Java, Python, or Go). 2+ years of experience in one or more of the following areas: artificial intelligence, optimization, operational research, or related technical fields Familiar with data analysis techniques and backend development.
Preferred Qualifications
Experience productionizing applied machine learning solutions towards solving business or product challenges Knowledge with internal tooling development or data/ML infrastructure Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto Experience with the recommendation system or information retrieval system is a big plus. Experience with LLM is not required but would be a big plus
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Get notified about new Machine Learning Engineer jobs in
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Join to apply for the
Senior Machine Learning Engineer - Data Gen AI team
role at
Uber Senior Machine Learning Engineer - Data Gen AI team
Join to apply for the
Senior Machine Learning Engineer - Data Gen AI team
role at
Uber Get AI-powered advice on this job and more exclusive features. About The Role
We are looking for a highly-motivated software engineer to join our Data GenAI team, which focuses on providing machine learning/GenAI solutions to improve both Uber's data utilization productivity and large scale data processing efficiency. You will work on a variety of projects including GenAI applications, predictive machine learning models and infrastructure software engineering. It is a special opportunity for you to work in the cross-road of machine learning and data infrastructure and make a great impact on the company. About The Role
We are looking for a highly-motivated software engineer to join our Data GenAI team, which focuses on providing machine learning/GenAI solutions to improve both Uber's data utilization productivity and large scale data processing efficiency. You will work on a variety of projects including GenAI applications, predictive machine learning models and infrastructure software engineering. It is a special opportunity for you to work in the cross-road of machine learning and data infrastructure and make a great impact on the company.
What the Candidate Will Do ----
Build GenAI multiagent system to provide revolutionary tooling for thousands of internal users. Build predictive machine learning models for a range of applications to optimize uber's petabyte scale data processing system. Collaborate with a world-class data infrastructure team, provide insights via data analysis, visualization and other investigations. Explore novel ideas (e.g. LLM finetuning) towards improving Uber's data storage and computation efficiency.
Basic Qualifications
6+ years of full-time engineering experience in ML/AI Proficiency in at least one programming language (e.g., C++, Java, Python, or Go). 2+ years of experience in one or more of the following areas: artificial intelligence, optimization, operational research, or related technical fields Familiar with data analysis techniques and backend development.
Preferred Qualifications
Experience productionizing applied machine learning solutions towards solving business or product challenges Knowledge with internal tooling development or data/ML infrastructure Experience developing and debugging in large scale data processing frameworks such as Apache Spark, Hive, and/or Presto Experience with the recommendation system or information retrieval system is a big plus. Experience with LLM is not required but would be a big plus
For San Francisco, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For Sunnyvale, CA-based roles: The base salary range for this role is USD$198,000 per year - USD$220,000 per year. For all US locations, you will be eligible to participate in Uber's bonus program, and may be offered an equity award & other types of comp. You will also be eligible for various benefits. More details can be found at the following link https://www.uber.com/careers/benefits. Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Internet Marketplace Platforms Referrals increase your chances of interviewing at Uber by 2x Get notified about new Machine Learning Engineer jobs in
San Francisco, CA . Software Engineer, Machine Learning (Multiple Levels) - Slack
San Francisco, CA $167,300.00-$334,600.00 2 days ago Research Engineer - Machine Learning (ML)
San Francisco, CA $180,000.00-$240,000.00 3 days ago San Francisco, CA $140,000.00-$180,000.00 6 months ago Machine Learning Engineer (I, II, or Sr.)
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San Francisco, CA $200,000.00-$300,000.00 5 months ago Redwood City, CA $167,200.00-$250,800.00 3 days ago Machine Learning Engineer (I, II, or Sr.)
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San Francisco, CA $176,600.00-$225,900.00 2 weeks ago Machine Learning Engineer, GenAI Applied ML
San Francisco, CA $176,000.00-$220,000.00 1 month ago AI/ML Engineer (Founding Technical Team)
San Francisco, CA $145,000.00-$175,000.00 1 month ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr