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职位Bloomberg

Content Engineer News Automation Team

Bloomberg

Content Engineer News Automation Team

Bloomberg

·

On-site

·

Full-time

·

1mo ago

必备技能

Jira

The Engineering News Automation Content group takes the wealth of Bloomberg data and turns it into human-readable stories. With more than 100,000 automated stories generated every month, we are the largest producer of automated news stories in the world. We work closely with journalists and product owners to produce the high-quality content that our unique 200,000 readers are expecting.

Do you want to join our team as we continue to lead the industry in automated news generation? If so, keep reading.

What’s in it for you

You’ll join and contribute to a crucial area of Bloomberg News. The automations you build will generate real-time stories on the Bloomberg News Wires accessible to all of our clients. You will work with a team of experienced journalists who are highly regarded within the financial market and technologists who are at the top of their game. You will gain exposure to the full spectrum of our financial, economic, and environmental data, and help craft standards for a new way of breaking news.

In addition, as someone joining our team, your mission will be to participate in the continued definition of our new platform, Content Creation Workflow, as well as a new product that enables editors to securely incorporate GenAI into their daily workflow.

We’ll trust you to

  • Write scripts and configure triggers that generate automated stories
  • Collaborate with the product and engineering teams to deliver news effectively
  • Follow and continuously improve our team's design, coding and testing standards
  • Enrich and maintain a set of libraries to be used by our teams and others in Engineering
  • Explore new technologies and methodologies, finding the best tools for the job rather than those with which we are most comfortable
  • Partner with our sister teams, Content Creation Workflow and News Automation Infrastructure, to come up with the next generation of automated news

You will need to have

  • 4+ years of software development
  • BA, BS, MS, PhD in Computer Science, Engineering or related technology field
  • An aptitude for analytical problem solving
  • Appreciation of the quality of the codebase and experience in knowledge how to apply unit testing, integration testing and stress testing to produce reliable production software
  • Working knowledge of modern development methodologies and tools (Jenkins / Jira / GitHub / Humio)

We would love to see

  • Interest to working with news with a focus on internal customers
  • Experience in journalism or working with LLMs is a plus
  • Experience in working with data pipeline systems or microservices platforms
  • Experience with CI/CD pipelines, automated testing, or system observability
  • Experience in mentoring others

Salary Range = 90000 - 160000 USD Annually + Benefits + Bonus

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关于Bloomberg

Bloomberg

Bloomberg

Public

Bloomberg L.P. is an American privately held financial, software, data, and media company headquartered in Midtown Manhattan, New York City. It was co-founded by Michael Bloomberg in 1981, with Thomas Secunda, Duncan MacMillan, Charles Zegar, and a 12% ownership investment by Merrill Lynch.

10,001+

员工数

Midtown Manhattan

总部位置

评价

4.0

15条评价

工作生活平衡

4.2

薪酬

4.5

企业文化

3.2

职业发展

3.0

管理层

2.8

65%

推荐给朋友

优点

High compensation and competitive total compensation

Good work-life balance

Company stability and job security

缺点

Slow career progression and promotion speed

Management issues and micromanagement

Limited remote work flexibility

薪资范围

2,046个数据点

Junior/L3

L2

L3

L4

L5

L6

Mid/L4

Junior/L3 · BNEF Carbon Research Associate

1份报告

$107,000

年薪总额

基本工资

$82,763

股票

-

奖金

-

$107,000

$107,000

面试经验

3次面试

难度

3.3

/ 5

时长

14-28周

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Virtual Onsite/Superday

5

Team Matching

6

Offer

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience