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Llm Researcher Jobs in Rochester, NY (NOW HIRING)

Deloitte

Tax Manager - Federal / Corporate Tax

Rochester, NY · On-site

$109K - $143K/yr

... or LLM * Solid understanding with accounting for income taxes in accordance to ASC740 * Previous Big 4 or large CPA firm experience * Strong management experience * Excellent research and writing ...

City National Bank

Trust Officer

Rochester, NY · On-site

$122K - $208K/yr

Research tax deficiency notices. Estimate taxes and allocate tax payments between principal and ... JD, LLM or other legal designation/degree preferred * Completion of Trust Certificate and/or CTFA ...

All JobsLlm Researcher JobsLlm Researcher Jobs in Rochester, NY

Llm Researcher information

See Rochester, NY salary details

$29.6K

$111.6K

$162.3K

How much do llm researcher jobs pay per year?

As of Sep 10, 2026, the average yearly pay for llm researcher in Rochester, NY is $111,594.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,100.00 and $151,900.00 per year, depending on experience, location, and employer.

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 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 are the most commonly searched types of Llm Researcher jobs in Rochester, NY?

The most popular types of Llm Researcher jobs in Rochester, NY are:

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For Llm Researcher jobs in Rochester, NY, the most frequently searched job titles are:

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The top searched job categories for Llm Researcher jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Llm Researcher jobs?

Cities near Rochester, NY with the most Llm Researcher job openings:

Llm Researcher jobs near you
Infographic showing various Llm Researcher job openings in Rochester, NY as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $111,594 per year, or $53.7 per hour.

Quantitative Trading & Research - Equity Derivatives Flow - Vice President

Rochester, NY • On-site

JPMorgan Chase & Co.
Finance and Insurance • 10K+ employees
Learn more about JPMorgan Chase & Co.external

Other

Posted 13 days ago

JPMorgan Chase & Co. rating

7.9

Company rating: 7.9 out of 10

Based on 500 frontline employees who took The Breakroom Quiz

78th of 176 rated banks

Job description

The Quantitative Trading & Research Team (QTR) Equity Derivatives group seeks a junior to mid-level quantitative researcher to focus on flow products. The role centers on driving and implementing analytics, optimization, and modeling across volatility trading, encompassing volatility surface calibration, client analytics, and pre-trade/post-trade analysis and hedging optimization.

Job Summary:

As a Vice President for the Quantitative Trading & Research Team, you will leverage data and advanced quantitative techniques, including machine learning, to build end-to-end solutions that directly support the business.

Job Responsibilities:
  • Partner with the Equity Derivatives Flow trading desk to build analytics and develop, enhance, and maintain pricing and risk models for flow products.
  • Lead research and implementation of volatility trading analytics, with a focus on volatility surface calibration and modeling.
  • Design and deliver client analytics tools, including pre-trade and post-trade analysis and hedging optimization frameworks.
  • Take an active role in shaping a data-driven ecosystem for trading and risk management.
  • Own the full project lifecycle — from ideation and prototyping to production deployment — developing analytics to manage client flow and risk inventory, supporting daily operations, and monitoring performance.
  • Work closely with traders to translate quantitative research into clear, actionable insights and solutions.
Required Qualifications, Capabilities, and Skills:
  • Advanced degree (Master's or Ph.D.) in a quantitative discipline (Mathematics, Physics, Engineering, Computer Science, Financial Engineering, or related field) from a top-tier university.
  • 1–3 years of experience in equity modeling, with a preference for equity derivatives.
  • Strong foundation in stochastic calculus, probability theory, and numerical methods.
  • Deep knowledge of option theory and equity derivatives products and markets.
  • Proficiency in Python, C++, and relevant numerical computing packages.
  • Demonstrated experience with quantitative research techniques, data analysis, and machine learning.
  • Strong communication skills with the ability to engage effectively with trading and deliver production-ready solutions.
Preferred Qualifications, Capabilities, and Skills:
  • Experience analyzing market data and applying insights to derivatives trading strategies.
  • Familiarity with risk management frameworks and relevant regulatory requirements.
  • Prior exposure to a front-office quantitative research or trading environment.
  • Proven ability to embed LLM-driven tools into quantitative research pipelines — whether for automating analysis, accelerating model development, or extracting insights from unstructured financial data.
  • Self-motivated and intellectually independent, with a track record of identifying research opportunities, taking ownership of open-ended problems, and delivering results with minimal oversight.
  • Curious and rigorous analytical thinker who challenges conventional assumptions, synthesizes ideas across domains, and translates original research into practical, high-impact trading tools.
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