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What is it like to work at Bloomberg?

Bloomberg is known for its fast-paced and dynamic work environment, driven by a culture of innovation and collaboration that encourages employees to think creatively and push boundaries. The company's global teams work together to deliver real-time financial data and news, with a focus on providing accurate and unbiased information to its clients. For those who thrive in a challenging and rapidly evolving industry, Bloomberg offers opportunities to work on cutting-edge projects and develop skills in data analysis, journalism, and technology.

What makes Bloomberg an attractive place to work?

Bloomberg is a leading global provider of financial data and analytics, known for its cutting-edge technology and influential market insights. The company offers a dynamic work environment that fosters innovation, collaboration, and professional growth, with opportunities to work on high-profile projects and contribute to the development of its industry-leading products. As a Bloomberg employee, you can expect to be part of a global network of professionals who drive business decisions and shape the financial landscape, with access to training and development programs that support your career advancement.

Does Bloomberg pay people when they’re sick?

Yes. Most people get paid when they’re sick.
82% of people say they would get paid if they were sick but scheduled to work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Is the health insurance from Bloomberg affordable enough for their workers?

Most people say the health insurance costs are okay.
100% of people say the health insurance costs are okay
Based on data from 6 people who took the Breakroom Quiz between March 2025 and January 2026.

How easy is it to get time off at Bloomberg?

Most people find it easy to get time off.
80% of people report it’s easy to get time off.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

How easy is it to take sick days at Bloomberg?

Most people find it easy to take sick days.
90% of people report that it’s easy to take time off if they are sick.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg feel treated with respect by their managers?

Most people feel treated with respect by their managers.
90% of people say they’re treated with respect by their managers.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg get to take their breaks without interruption?

Most people get breaks without interruption.
73% of people report that they get to take their breaks without interruption.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Is it stressful to work at Bloomberg?

Most people feel stressed here.
78% of people say they often feel stressed at work.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and July 2025.

Do people at Bloomberg enjoy their jobs?

Most people enjoy their job.
75% of people report they enjoy their job.
Based on data from 8 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people at Bloomberg recommend working with their team?

Only some people recommend working with their team.
36% of people report that they wouldn’t recommend working with their immediate team to a friend.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people get enough training when they start at Bloomberg?

Most people got enough training when they started.
100% of people report they got enough training when they started working here.
Based on data from 9 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people get support to advance at Bloomberg?

Most people are given support to advance their career here.
In the last year, 73% of people report being given support to advance their career here.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do people think Bloomberg’s headquarters understands what’s happening where they work?

Most people think headquarters understands what’s happening where they work.
55% of people think that this employer’s headquarters or owners have a good understanding of what’s really happening where they work.
Based on data from 11 people who took the Breakroom Quiz between January 2025 and January 2026.

Do workers feel well informed about how Bloomberg is doing?

Most people feel well informed about how the company is doing.
80% of people feel that they are kept well informed about how the company is doing as a whole.
Based on data from 10 people who took the Breakroom Quiz between January 2025 and January 2026.

What other companies are hiring for Customer Service Representative jobs?

Infographic showing various Customer Service Representative job openings at Bloomberg in the United States as of August 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 100% Physical job distribution.

Senior Software Engineer - AI Inference New York, NY Posted today

Bloomberg L.P.

Manhattan, NY • On-site

$160 - $240/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago


Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

11th of 245 rated software companies


Job description

Senior Software Engineer - AI Inference

Location

New York

Business Area

Engineering and CTO

Ref #

10050779

Description & Requirements Our team:

Join the team that is building the core infrastructure for AI at Bloomberg. The Bloomberg AI Inference Platform provides production-grade managed infrastructure for hosting, deploying, and serving all machine learning models, both predictive and cutting-edge generative models. We abstract away infrastructure complexity, empowering engineering teams to focus on creating intelligent applications with guaranteed scalability, performance, and governance. Our platform is built on the open-source KServe project, and the CNCS AI Inference team is a primary contributor to its development.

We'll trust you to:
  • Design and build scalable infrastructure for both online and offline inference workloads.
  • Lead integration of high-performance inference runtimes and serving frameworks, including TensorRT, vLLM, ONNX, and Triton.
  • Drive architecture and technical decisions across Bloomberg’s inference platform, balancing latency, throughput, reliability, and cost.
  • Partner across engineering teams to improve model deployment, observability, and production performance.
  • Mentor junior engineers on system design, debugging, and performance optimization.
You’ll need to have:
  • 5+ years of professional software engineering experience.
  • Experience designing, building, and operating production distributed systems.
  • Strong systems intuition and a track record of debugging and optimizing performance-critical services.
  • Ability to own problems end-to-end and quickly ramp up in unfamiliar technical areas.
  • 4+ years of demonstrated experience working with an object-oriented programming language.
  • A degree in Computer Science, Electrical Engineering, or equivalent practical experience.
We’d love to see:
  • Experience deploying and operating machine learning systems at scale.
  • Experience with inference optimization techniques such as batching, caching, request scheduling, or memory-aware serving.
  • Familiarity with PyTorch and GPU software stacks such as CUDA and NCCL.
  • Exposure to high-performance interconnects and distributed computing technologies such as NVLink, InfiniBand, or MPI.
  • Experience with Kubernetes and cloud-native infrastructure.
  • Experience with load balancing, request routing, or traffic management systems.
Representative projects:
  • Autoscaling a heterogeneous compute fleet to match supply and demand aross diverse inference workloads.
  • Building production-grade deployment pipelines to safely roll out new models to millions of users.
  • Developing new inference capabilities such as structured sampling, prompt caching, and advanced serving optimizations.
  • Analyzing observability data from real production workloads to improve latency, throughput, and resource efficiency.

Salary Range = 160000 - 240000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation (exempt roles only), paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg is a disability inclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net

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About Bloomberg

Sourced by ZipRecruiter

Bloomberg runs on data. As the Data Management & Analytics team within Engineering, we support our organization's needs around managing data efficiently. The vision of the team is to build solutions that drive data quality, data dictionary, data stewardship, data lineage, reference, and master data management across various data domains (prospect, customer, vendor, material etc.). We partner with business teams across the organization in addressing their data needs and ultimately helping run business operations efficiently and make improved decisions.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

New York, NY, US

Year founded

1981