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Full-Time

Sr Staff Engineer

Generative AI

Updated on 7/18/2024

Uber

Uber

10,001+ employees

Rides, deliveries, and freight services platform

Food & Agriculture
Data & Analytics
Automotive & Transportation
Consumer Software
Crypto & Web3
Consumer Goods

Compensation Overview

$252k - $280kAnnually

+ Bonus + Equity Awards

Senior, Expert

San Francisco, CA, USA

Category
Applied Machine Learning
AI & Machine Learning
Required Skills
Tensorflow
Pytorch
Java
Natural Language Processing (NLP)
Requirements
  • PhD in Computer Science or related field
  • 4 years full-time Software Engineering work experience OR 7 years full-time Software Engineering work experience
  • Knowledge of NLP, LLMs, GenAI models
  • Experience developing and launching large scale deep learning models
  • Experience with Machine Learning Software such as Tensorflow/Pytorch, Caffe
  • Coding experience in languages like Java, GO
  • Experience leading teams of engineers on large projects
  • Strong communication and collaboration skills
  • Passion for mentoring engineers
  • Experience developing and launching GenAI products at scale
  • Deep knowledge of NLP theory and Generative AI innovations
  • Contributions to the technical community
Responsibilities
  • Lead Generative AI initiatives
  • Identify step change opportunities
  • Research latest techniques in AI
  • Guide the team in end-to-end AI development
  • Work with cross-functional stakeholders to deliver AI solutions
  • Develop customer support assistants
  • Resolve support issues at Uber scale

At Uber, employees are at the forefront of redefining mobility and logistics services, working with cutting-edge technology to streamline the transportation of both people and goods. This company fosters a dynamic work environment that supports flexible earning opportunities and continuous innovation in essential services. The commitment to constantly reimagine and reinvent its services makes it a leader in the industry, providing an invigorating setting for professionals who thrive in fast-paced and evolving workspaces.

Company Stage

IPO

Total Funding

$24.8B

Headquarters

San Francisco, California

Founded

2009

Growth & Insights
Headcount

6 month growth

9%

1 year growth

16%

2 year growth

25%