Jobs

Software Engineer II - Machine Learning - Membership
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
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
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