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Senior ML Engineer - Applied AI

Uber

Senior ML Engineer - Applied AI

Uber

Bangalore, India

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Unlimited Pto

Learning

Healthcare

Equity

Required Skills

PyTorch

Apache Spark

SQL

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.

---- What the Candidate Will Do ----

  • Build GenAI powered customer support assistants through prompt engineering 3P LLMs or fine-tuning custom LLMs.
  • Work with stakeholders across engineering, product and data science to understand product requirements, prototype, iterate and launch GenAI assistants in production.
  • Explore novel ideas and innovative solutions that can lead to a step change in our products.

---- Basic Qualifications ----

  • Master's degree in Computer Science or closely related field.
  • Knowledge of latest ML algorithms such as GenAI, NLP, CV, recommendation systems.
  • Coding chops, clean, elegant, bug-free code in languages like Java, GO
  • Strong desire to learn and grow, while building the best-in-class systems

---- Preferred Qualifications ----

  • Deep knowledge of NLP theory and an understanding of the latest innovations in Generative AI
  • Contributed to the broader technical community through tech talks, publications, open source projects, or other ways.
  • Have a proven track record working across an organization not just across teams.

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