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Staff Software Engineer- Machine Learning

Uber

Staff Software Engineer- Machine Learning

Uber

Bangalore, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Wellness benefits

Flexible PTO policy

Health, dental, and vision coverage

Remote work flexibility

Required Skills

Python

TensorFlow

PyTorch

About the Role

The Marketplace Health team is building tools that aim to explain movements in business metrics; we aim to make business metrics explainable and actionable, fast. This is a new charter. The candidate could help create a technical vision for the team, and help influence the team's short-term and long-term goals.

What the Candidate Will Do:

  1. Lead the design, development, optimization, and productization of datasets & machine learning solutions that are used to solve strategically important or vaguely defined problems.
  2. Lead Backend, Data & ML engineers; provide technical leadership and vision for the team.

What the Candidate Will Need:

  1. Bachelor's degree in Computer Science, Engineering or equivalent practical experience
  2. 10+ years of experience in software engineering with an emphasis on data-driven technologies
  3. Experience in designing and crafting scalable, reliable, maintainable and reusable data & ML solutions.
  4. 4+ years of experience working in cross-functional and/or cross-business projects, partnering with Product, Scientists, and cross-org leads to shape the team's strategies

Uber's mission is to reimagine the way the world moves for the better. Here, bold ideas create real-world impact, challenges drive growth, and speed fuelds progress. What moves us, moves the world - let's move it forward, together.
Offices continue to be central to collaboration and Uber's cultural identity. Unless formally approved to work fully remotely, Uber expects employees to spend at least half of their work time in their assigned office. For certain roles, such as those based at green-light hubs, employees are expected to be in-office for 100% of their time. Please speak with your recruiter to better understand in-office expectations for this role.
Accommodations may be available based on religious and/or medical conditions, or as required by applicable law. To request an accommodation, please reach out to accommodations@uber.com.

Contact & Location

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About Uber

Uber

Uber develops, markets, and operates a ride-sharing mobile application that allows consumers to submit a trip request.

10,001+

Employees

San Francisco

Headquarters

$120B

Valuation

Reviews

3.1

10 reviews

Work Life Balance

4.2

Compensation

2.3

Culture

3.5

Career

2.0

Management

2.5

45%

Recommend to a Friend

Pros

Flexible hours and schedule

Meeting different people and cultures

Make your own hours

Cons

Inconsistent and low pay

Safety concerns with passengers

Traffic and difficult drivers

Salary Ranges

23,534 data points

Junior/L3

Mid/L4

Senior/L5

Staff/L6

Junior/L3 · Data Scientist L3

0 reports

$145,456

total / year

Base

-

Stock

-

Bonus

-

$123,638

$167,274

Interview Experience

5 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Offer Rate

40%

Experience

Positive 80%

Neutral 20%

Negative 0%

Interview Process

1

Application Review

2

Online Assessment

3

Recruiter Screen

4

Technical Phone Screen

5

Case Study/Analytics Test

6

Final Loop/Panel Interview

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Case Study

Technical Knowledge