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Senior ML Platform Engineer Artificial Intelligence

Bloomberg

Senior ML Platform Engineer Artificial Intelligence

Bloomberg

·

On-site

·

Full-time

·

6d ago

Bloomberg’s Engineering AI department has 400+ AI practitioners building highly sought after products and features that often require novel innovations.

We are investing in AI to build better search, discovery, and workflow solutions using technologies such as transformers, gradient boosted decision trees, large language models, and dense vector databases.

We are expanding our group and seeking highly skilled individuals who will be responsible for contributing to the team (or teams) of Machine Learning (ML) and Software Engineers that are bringing innovative solutions to AI-driven customer-facing products.

At Bloomberg, we believe in fostering a transparent and efficient financial marketplace.

Our business is built on technology that makes news, research, financial data, and analytics on over 35 million financial instruments searchable, discoverable, and actionable across the global capital markets.

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About Bloomberg

Bloomberg

Bloomberg

Public

Bloomberg provides financial software, data, and media services to financial professionals and institutions worldwide. The company operates Bloomberg Terminal, a computer software system that enables professionals to access real-time financial market data and trading tools.

10,001+

Employees

Midtown Manhattan

Headquarters

Reviews

4.0

15 reviews

Work Life Balance

4.2

Compensation

4.5

Culture

3.2

Career

3.0

Management

2.8

65%

Recommend to a Friend

Pros

High compensation and competitive total compensation

Good work-life balance

Company stability and job security

Cons

Slow career progression and promotion speed

Management issues and micromanagement

Limited remote work flexibility

Salary Ranges

9,877 data points

L2

L3

L4

L5

L6

Senior/L5

L2 · Cybersecurity Analyst L2

0 reports

$141,700

total / year

Base

$56,680

Stock

$70,850

Bonus

$14,170

$99,190

$184,210

Interview Experience

14 interviews

Difficulty

2.9

/ 5

Duration

14-28 weeks

Offer Rate

21%

Experience

Positive 50%

Neutral 29%

Negative 21%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Rounds/Superday

5

Virtual/Onsite Interviews

6

Final Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience