Full-Time

Machine Learning Tech Lead Manager

Dynamic Pricing, Surge

Posted on 8/24/2024

Uber

Uber

10,001+ employees

Global platform for ride-hailing and logistics

Automotive & Transportation
Consumer Software

Compensation Overview

$218k - $242kAnnually

+ Bonus Program + Equity Award

Senior, Expert

Company Historically Provides H1B Sponsorship

San Francisco, CA, USA

Employees are expected to spend at least half of their work time in the San Francisco office.

Category
Applied Machine Learning
Deep Learning
AI & Machine Learning
Software Engineering
Required Skills
Python
Tensorflow
Pytorch
Java
Go
C/C++
Requirements
  • Expertise in deep learning and optimization algorithms.
  • Experience with ML frameworks such as PyTorch and TensorFlow.
  • Experience building and productionizing innovative end-to-end Machine Learning systems.
  • Proficiency in one or more coding languages such as Python, Java, Go, or C++.
  • Strong communication skills and can work effectively with cross-functional partners.
  • PhD in relevant fields (CS, EE, Math, Stats, etc.) with a focus on Machine Learning (preferred).
  • Experience managing small teams of engineers (preferred).
  • Experience with Causal Inference (preferred).
  • 5 years of software engineering experience (preferred).
  • Experience with forecasting models (preferred).
  • Experience working with pricing systems or marketplace work (such as ads) (preferred).
  • Experience growing a team and mentoring more junior engineers (preferred).
Responsibilities
  • Lead teams that help build statistical, optimization, and machine learning models for a range of applications in the pricing algorithms space.
  • Help define roadmaps and opportunities for new applications of ML systems to pricing.
  • Present findings to senior leadership to inform business decisions.
  • Collaborate with cross-functional teams across disciplines such as product, engineering, operations, and marketing to drive system development end-to-end from ideation to productionization.

Uber connects people and goods through its global platform, offering services in ride-hailing and logistics. Users can request rides or deliveries via the app, which matches them with drivers or delivery personnel. The company operates on a commission-based model, taking a percentage from each transaction, which includes ride fares and delivery fees. Unlike many competitors, Uber emphasizes safety with measures like driver background checks and real-time verification. The goal of Uber is to continuously expand its services, moving beyond just ride-hailing to include freight and essential goods transportation.

Company Stage

IPO

Total Funding

$15.4B

Headquarters

San Francisco, California

Founded

2009

Growth & Insights
Headcount

6 month growth

8%

1 year growth

20%

2 year growth

38%
Simplify Jobs

Simplify's Take

What believers are saying

  • Expansion of Courier Bakkie in South Africa taps into the growing e-commerce sector.
  • Partnership with Toast enhances delivery network, reducing costs for restaurants.
  • Investment in Pony.ai positions Uber at the forefront of autonomous driving innovations.

What critics are saying

  • FTC investigation into subscription policies may lead to regulatory penalties.
  • NYC's proposed insurance requirements could increase operational costs for drivers.
  • Courier Bakkie expansion may face competition from established local courier companies.

What makes Uber unique

  • Uber's global platform offers diverse services from ride-hailing to freight deliveries.
  • The company emphasizes safety with driver background checks and real-time verification processes.
  • Uber's commission-based model supports flexible earnings for drivers worldwide.

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