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Entry Level Bloomberg Software Engineer Jobs in Princeton, NJ

Mobility Ideal Health

Software Engineer-I

Edison, NJ · On-site

Position Summary: The Assistant Software Engineer will join our team at Mobility Ideal Health ... This entry level position is designed for a motivated individual with a foundational understanding ...

TickPick

Software Engineer

New York, NY

$100K - $130K/yr

... entry-level engineers were historically able to do. What You'll Do: * Contribute across the entire stack - .NET APIs, React/Next.js web, and React Native mobile * Use AI coding agents daily to help ...

Trovy

Software Engineer

New York, NY · On-site

$110K - $125K/yr

Role Overview We're looking for a Software Engineer, a hybrid of engineering and cross-functional ... This is an entry-level role designed for someone early in their career who wants to see how a real ...

Allium

Software Engineer

New York, NY · On-site +1

... Bloomberg or DTCC in traditional markets. Raw blockchains cannot serve that role. As AI agents ... About the Role We love engineers who love solving new problems every single day. * Data Egress ...

Artemis

Software Engineer - Backend

New York, NY · On-site

$150K - $250K/yr

Previously platforms like Bloomberg, CapIQ, and FactSet became the information layer on top of ... No formal experience engineering specifically in crypto, traditional finance, fintech, or ...

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Entry Level Bloomberg Software Engineer information

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$25.2K

$109.9K

$198.1K

How much do entry level bloomberg software engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for entry level bloomberg software engineer in Princeton, NJ is $109,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,100.00 and $125,800.00 per year, depending on experience, location, and employer.

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Entry Level Bloomberg Software Engineer jobs near you
Infographic showing various Entry Level Bloomberg Software Engineer job openings in Princeton, NJ as of July 2026, with employment types broken down into 87% Full Time, 11% Part Time, and 2% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,924 per year, or $52.8 per hour.

Senior Applied AI Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

$134K - $176K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New

Bloomberg rating

9.4

Company rating: 9.4 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

12th of 246 rated software companies

Job description

Senior Applied AI Engineer - Artificial Intelligence
Location
New York
Business Area
Engineering and CTO
Ref #
10049309
Description & Requirements
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.
Bloomberg has been building Artificial Intelligence applications that offer solutions to these problems with high accuracy and low latency since 2009. We build AI systems to help process and organize the ever-increasing volume of structured and unstructured information needed to make informed decisions. Our use of AI uncovers signals, helps us produce analytics about financial instruments in all asset classes, and delivers clarity when our clients need it most.
We are looking for Senior Applied AI Engineers with a strong expertise and passion for Large Language Modeling research and applications to join our team.
The advent of large language models (LLMs) presents new opportunities for expanding our NLP capabilities with new products. This would allow our clients to ask complex questions in natural language and receive insights extracted across our vast number of Bloomberg APIs or from potentially millions of structured and unstructured information sources.
Broad areas of applications and interest include: application and fine-tuning methods for LLMs, efficient methods for training, multimodal models, learning from feedback and human preferences, retrieval-augmented generation, summarization, semantic parsing and tool use, domain adaptation of LLMs to financial domains, dialogue interfaces, evaluation of LLMs, model safety and responsible AI.
What's in it for you:
  • Collaborate with colleagues on building and applying LLMs for production systems and applications
  • Write, test, and maintain production quality code
  • Tune, evaluate and continuously improve LLMs using large amounts of high-quality data to develop state-of-the-art financial NLP models
  • Demonstrate technical leadership by owning cross-team projects
  • Stay current with the latest research in AI, NLP and LLMs and incorporate new findings into our models and methodologies
  • Represent Bloomberg at scientific and industry conference and in open-source communities
  • Publish product and research findings in documentation, whitepapers or publications to leading academic venues

You'll need to have:
  • Practical experience with Natural Language Processing problems, and a familiarity with Machine Learning, Deep Learning and Statistical Modeling techniques
  • Ph.D. in ML, NLP or a relevant field or MSc in CS, ML, Math, Statistics, Engineering, or related fields and 2+ years of relevant work experience
  • Experience with Large Language Model training and fine-tuning frameworks such as PyTorch, Huggingface or Deepspeed
  • Proficiency in software engineering
  • An understanding of Computer Science fundamentals such as data structures and algorithms and a data oriented approach to problem-solving
  • Excellent communication skills and the ability to collaborate with engineering peers as well as non-engineering stakeholders.
  • A track record of authoring publications in top conferences and journals is a strong plus

We give back to the technology community and you can read more about our outreach at: http://www.techatbloomberg.com/ai
Salary Range = 165,000 - 260,000 USD Annual + 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 podcast series for an inside look at our culture, values, and the people behind our success.

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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

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