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Llm Researcher Jobs (NOW HIRING)

Responsibilities : • Building infrastructure to facilitate the next generation of LLM research. • Optimizing training and inference for language models. • Triaging between experiments and ...

This is a unique opportunity to conduct cutting-edge LLM research with direct product impact -- shaping how people interact with the next generation of wearable devices.We are looking for a ...

This is a unique opportunity to conduct cutting-edge LLM research with direct product impact -- shaping how people interact with the next generation of wearable devices.We are looking for a ...

This is a unique opportunity to conduct cutting-edge LLM research with direct product impact -- shaping how people interact with the next generation of wearable devices.We are looking for a ...

The LLM team within HAIL builds large language models from scratch - pretraining, post-training, and serving - that are deployed across the firm to accelerate research, engineering, and trading ...

LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

Your work will directly modernize how the world's leading researchers interact with their data. Primary Responsibility Your primary responsibility is to design, build, and scale the LLM ...

Strong ML Research Background - You've worked on advanced ML problems (like LLM pre-training and post-training, transcription model training, TTS, or multimodal systems), either in industry or ...

Senior AI Security Researcher

Durham, NC · On-site

$272 - $431.25/hr

Explore a range of AI security problems, such as LLM and agent security, adversarial testing, model ... Translate research into usable outcomes for engineering and security teams, including ...

As an AI Researcher, you will train intelligent AI agents for root cause analysis in high-pressure environments, leading research in areas like LLM fine-tuning and deep reinforcement learning.

Explore a range of AI security problems, such as LLM and agent security, adversarial testing, model ... Translate research into usable outcomes for engineering and security teams, including proof-of ...

Explore a range of AI security problems, such as LLM and agent security, adversarial testing, model ... Translate research into usable outcomes for engineering and security teams, including proof-of ...

Showing results 21-40

Llm Researcher information

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$30K

$113.1K

$164.5K

How much do llm researcher jobs pay per year?

As of Aug 16, 2026, the average yearly pay for llm researcher in the United States is $113,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,000.00 and $154,000.00 per year, depending on experience, location, and employer.

What does an LLM researcher do?

A typical workday for an LLM Researcher involves designing experiments, training and fine-tuning large language models, and analyzing model outputs using various evaluation metrics. You will often read and discuss recent research papers, collaborate with software engineers and data scientists, and present findings to your team or at industry meetings. The role may also involve publishing research, contributing to open-source projects, or mentoring junior researchers. This collaborative and fast-paced environment offers ample opportunities to push the boundaries of AI language technology while working alongside leading experts in the field.

What are the key skills and qualifications needed to thrive as an LLM researcher?

To thrive as an LLM Researcher, a strong background in machine learning, natural language processing, and computational linguistics is essential, often backed by an advanced degree in computer science or a related field. Familiarity with deep learning frameworks such as TensorFlow or PyTorch, experience training and evaluating large-scale language models, and publication experience in relevant conferences or journals are highly valued. Analytical thinking, creativity, effective communication, and collaboration are key soft skills that distinguish top performers. These capabilities are crucial for developing innovative language model solutions, advancing research, and contributing to high-impact projects within interdisciplinary teams.

What is an LLM researcher?

An LLM Researcher is a specialist who studies and develops large language models (LLMs), such as GPT. Their work involves improving model architectures, training methods, and fine-tuning techniques to enhance performance and efficiency. They often analyze LLM behavior, mitigate biases, and optimize models for specific applications. This role requires expertise in machine learning, natural language processing (NLP), and deep learning frameworks.

What cities are hiring for Llm Researcher jobs?

Cities with the most Llm Researcher job openings:

What are the most commonly searched types of Llm Researcher jobs?

The most popular types of Llm Researcher jobs are:

What states have the most Llm Researcher jobs?

States with the most job openings for Llm Researcher jobs include:

Infographic showing various Llm Researcher job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $113,102 per year, or $54.4 per hour.

Senior LLM Research Engineer - Artificial Intelligence

Bloomberg LP

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 23 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 244 rated software companies


Job description

Senior LLM Research 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 LLM Research 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
  • Train, 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