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Software Engineer II - Machine Learning - Membership

Uber

Software Engineer II - Machine Learning - Membership

Uber

Amsterdam, Netherlands

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Unlimited Pto

Learning

Healthcare

Remote Work

Required Skills

Apache Spark

Airflow

Python

What the Candidate Will Need / Bonus Points---- What the Candidate Will Do ----

  • Design and build Machine Learning models with optimization engines.
  • Productionize and deploy these models for real-world application.
  • Collaborate with Product and cross-functional teams to brainstorm new solutions and iterate on the product.
  • Write high-quality code and uphold standards for testing and coverage.
  • Align the team on solutions to ambiguous problems and analyze the tradeoffs of different technical solutions
  • Contribute to engineering cultivation in terms of quality, monitoring, and on-call practices.
  • Find opportunities to improve how our team operates and promote standard processes

We welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently. If you have the curiosity, passion, and collaborative spirit, work with us, and let's move the world 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.

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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

Mid/L4

Mid/L4 · Data Analyst

3 reports

$209,300

total / year

Base

$161,000

Stock

-

Bonus

-

$203,580

$209,300

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