Why you should apply for a job with Uber:
Fairygodboss members working at Uber rated their manager’s support a 4.4/5
- 74%
Reviewers say women are treated fairly and equally to men
- 80%
Reviewers say the CEO supports gender diversity
18 weeks paid leave for new parents (birthing and non-birthing); flexible work options for parents & caregivers; family planning resources
Women of Uber Employee Resource Group offering networking, professional development, and peer mentoring
Strong commitment and meaningful progress to increasing gender diversity (+1.2% women in leadership from 2020 to 2021; +2% women overall)
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Position summary
About the role:
Collaborates with stakeholders to design, develop, optimize, and productionize machine learning (ML) or ML-based solutions and systems that are used within a team to solve moderately complex problems. This role also leverages and improves ML infrastructure for model development, training, deployment needs and scaling ML systems.
About the Team:
The Marketplace Pricing & Incentives team is responsible for Uber’s profitability and growth story. We focus on how to intelligently price a ride trip or a delivery order to make sure Uber can achieve profitability while keeping a steady growth of business. The team is critical in fostering a healthy ride-sharing & delivery ecosystem via a balanced marketplace and in providing a pleasant and sticky experience for Uber’s customers. We seek the best opportunities to grow Uber's business with the state-of-the-art technology (machine learning, constrained optimization, distributed platform, etc.) to achieve industry leading ROI.
Minimum qualifications:
Bachelor’s degree or equivalent in Computer Science, Engineering, Mathematics or related field, WHICH INCLUDES 1-year total technical software engineering experience in one or more of the following areas:
Programming language (e.g. C, C++, Java, Python, or Go)
Training using data structures and algorithms
Machine learning (e.g., tree-based techniques, supervised learning)
Machine Learning Software such as Tensorflow/Pytorch, Caffe, Scikit-Learn, or Spark MLLib
Note the 1-year total of specialized software engineering experience may have been gained through education and full-time work experience, additional training, coursework, research, or similar (OR some combination of these). The year of specialized experience is not necessarily in addition to the years of Education & full-time work experience indicated.
Technical skills:
Required:
- Feature management
What are Uber perks and benefits
Lactation facilities
Diversity recruiting
Coaching
Diversity performance
Sabbatical
Networking
Unconscious bias training
Paid paternity
Paid maternity
About the company
We reimagine the way the world moves for the better. We are Uber. The go-getters. The kind of people who are relentless about our mission to help people go anywhere and get anything. Movement is what we do. It’s our lifeblood. It runs through our veins. It’s 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.
Why you should apply for a job with Uber:
Fairygodboss members working at Uber rated their manager’s support a 4.4/5
- 74%
Reviewers say women are treated fairly and equally to men
- 80%
Reviewers say the CEO supports gender diversity
18 weeks paid leave for new parents (birthing and non-birthing); flexible work options for parents & caregivers; family planning resources
Women of Uber Employee Resource Group offering networking, professional development, and peer mentoring
Strong commitment and meaningful progress to increasing gender diversity (+1.2% women in leadership from 2020 to 2021; +2% women overall)