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Scientist Llm Jobs (NOW HIRING)

Intuit

Staff Data Scientist

Mountain View, CA · On-site

The ideal candidate thrives at the intersection of data science, LLM engineering and unstructured data mining, collaborating closely with engineering, and business teams to drive measurable impact on ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

The ideal candidate thrives at the intersection of data science, LLM engineering and unstructured data mining, collaborating closely with engineering, and business teams to drive measurable impact on ...

Intuit

Staff Data Scientist

Mountain View, CA · On-site

The ideal candidate thrives at the intersection of data science, LLM engineering and unstructured data mining, collaborating closely with engineering, and business teams to drive measurable impact on ...

Uncountable

LLM Applications Engineer

New York, NY · On-site

$130K - $175K/yr

We are building the next generation of tools that empower scientists at Fortune 500 companies to accelerate discovery through Generative AI. As an LLM Applications Engineer, you will be the architect ...

Compunnel

Data Scientist

Raleigh, NC · On-site

We are seeking a Senior Data Scientist with deep expertise in Generative AI, Large Language Models ... Key Responsibilities: • Design, develop, and deploy customer-facing Generative AI and LLM-powered ...

SupportFinity™

LLM Applications Engineer

Manhattan, NY · On-site

$130K - $175K/yr

Experience working with scientific, technical, or research datasets * Strong product mindset with LLM‑first feature development * Experience integrating LLM systems with SQL databases and broader ...

eSimplicity

LLM Specialist

Columbia, MD · On-site

$104K - $145K/yr

The LLM Specialist will drive the design, development, and operationalization of advanced large ... Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related ...

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Scientist Llm information

What is a Scientist LLM?

A Scientist LLM is a professional who specializes in applying large language models (LLMs) to scientific research and problem-solving. They combine expertise in machine learning, natural language processing, and a specific scientific domain to develop, fine-tune, and evaluate LLMs for tasks such as literature analysis, hypothesis generation, and data interpretation. Scientist LLMs often work in multidisciplinary teams to advance scientific discovery using state-of-the-art AI technologies.

How does a Scientist LLM typically collaborate with engineering and product teams?

Scientists focusing on large language models often work closely with engineering teams to translate research breakthroughs into scalable, production-ready systems. They regularly participate in cross-functional meetings to align model development with product requirements and user needs. This collaboration ensures that scientific advancements are effectively integrated into real-world applications, and scientists frequently provide technical guidance on model deployment, optimization, and evaluation. These interactions foster a dynamic environment where ideas are rapidly prototyped and iterated upon, contributing directly to impactful product features.

What are the key skills and qualifications needed to thrive as a Scientist LLM, and why are they important?

To thrive as a Scientist LLM (Large Language Model Scientist), you need a strong background in machine learning, natural language processing, and advanced programming skills, typically supported by a relevant PhD or master’s degree. Familiarity with tools like Python, TensorFlow, PyTorch, and experience working with large-scale data sets and cloud computing platforms is essential. Strong problem-solving abilities, collaboration, and clear communication are valuable soft skills for innovating and sharing complex ideas. These competencies ensure the effective development, deployment, and advancement of large language models in real-world applications.

What is the difference between Scientist Llm vs Data Scientist?

AspectScientist LlmData Scientist
Required CredentialsAdvanced degree in law, AI, or related fields; knowledge of legal and AI principlesDegree in computer science, statistics, or related fields; strong programming skills
Work EnvironmentResearch labs, AI companies, legal tech firmsTech companies, finance, healthcare, consulting
Industry UsageLegal AI applications, compliance, legal researchData analysis, predictive modeling, business insights

Scientist Llm professionals focus on applying AI within legal contexts, requiring legal and AI expertise, while Data Scientists analyze data across various industries, emphasizing statistical and programming skills. Both roles involve research and technical work but serve different industry needs.

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Scientist Llm jobs near you
Infographic showing various Scientist Llm job openings in the United States as of September 2026, with employment types broken down into 2% Internship, 1% As Needed, 84% Full Time, 10% Part Time, and 3% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution.

Senior Applied Scientist, LLM Code Agents, Kiro Science

Santa Clara, CA • On-site

Amazon
IT Services • 10K+ employees
Learn more about Amazonexternal

Full-time

Re-posted 21 days ago

Amazon rating

7.4

Company rating: 7.4 out of 10

Based on 7,180 frontline employees who took The Breakroom Quiz

Job description

One of the key bottlenecks in training capable code agents today is the environment the model is trained on. You can't RL your way to a better coding agent if your training rollouts are running against environments that don't actually reflect how software gets built, have flaky rewards, are prone to reward hacking, or rely on unreliable verification methodology.
We're building and improving - Amazon's next-gen AI coding agent - and we're building (- ) .
We're looking for someone excited about the problem. The strongest candidates have depth in at least one of:
/ - type systems, compilers, build systems, dependency analysis, program analysis
T - post-training, RLHF / RLVR / RLAIF, distillation, evaluation harnesses, agent scaffolds
- Gymnasium, custom verifiers, reward design, sandboxing
- containerization, deterministic execution, CI/CD systems, hermetic builds
Key job responsibilities
' :
Designing verified RL environments built from real codebases and post training with these environments
Reward functions that survive Goodhart's law on F2P / P2P / mutation tests
Scaling environment generation pipelines that stay fresh against contamination
Publishing at NeurIPS / ICML / ICLR / ICSE / OOPSLA / ACL
About the team
The AWS Developer Agents and Experiences (DAE) team is reimagining the builder experience through generative AI and foundation models

We're leveraging the latest advances in AI to transform how engineers work from IDE environments to web-based tools and services, empowering developers to tackle projects of any scale with unprecedented efficiency.
Broadly, AWS Utility Computing (UC) provides product innovations - from foundational services such as Amazon's Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS's services and features apart in the industry. As a member of the UC organization, you'll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS. Within AWS UC, Amazon Dedicated Cloud (ADC) roles engage with AWS customers who require specialized security solutions for their cloud services.
Why AWS?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform

We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
Mentorship & Career Growth
We're continuously raising our performance bar as we strive to become Earth's Best Employer

That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Hybrid Work
We value innovation and recognize this sometimes requires uninterrupted time to focus on a build

We also value in-person collaboration and time spent face-to-face. Our team affords employees options to work in the office every day or in a flexible, hybrid work model near one of our U.S. Amazon offices.

What Amazon employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Amazon logo

About Amazon

Sourced by ZipRecruiter

Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.

Industry

It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development

Company size

10,000+ Employees

Headquarters location

Seattle, WA, US

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