... large language models, retrieval systems, knowledge graphs, and generative AI to help researchers ... Build and optimize LLM-powered applications, including question answering, literature summarization ...
... large language models, retrieval systems, knowledge graphs, and generative AI to help researchers ... Build and optimize LLM-powered applications, including question answering, literature summarization ...
Senior Data Scientist
Philadelphia, PA · On-site
... large language models, retrieval systems, knowledge graphs, and generative AI to help researchers ... Build and optimize LLM-powered applications, including question answering, literature summarization ...
Senior Data Scientist
Philadelphia, PA · On-site
... large language models, retrieval systems, knowledge graphs, and generative AI to help researchers ... Build and optimize LLM-powered applications, including question answering, literature summarization ...
Research emerging AI technologies, LLM implementation patterns, and modern product engineering ... Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI ...
Research emerging AI technologies, LLM implementation patterns, and modern product engineering ... Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI ...
Research emerging AI technologies, LLM implementation patterns, and modern product engineering ... Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI ...
Research emerging AI technologies, LLM implementation patterns, and modern product engineering ... Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI ...
Senior Machine Learning Engineer
$118K - $156K/yr
... LLM models into our Air Enterprise Readiness platform to enhance user experience. * Develop new ... Experience developing custom training sets for large language models * Experience productionizing ...
Senior Machine Learning Engineer
$118K - $156K/yr
... LLM models into our Air Enterprise Readiness platform to enhance user experience. * Develop new ... Experience developing custom training sets for large language models * Experience productionizing ...
Research emerging AI technologies, LLM implementation patterns, and modern product engineering ... Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI ...
Research emerging AI technologies, LLM implementation patterns, and modern product engineering ... Experience integrating large language models (LLMs), prompt engineering, AI agents, generative AI ...
Senior Machine Learning Engineer
Pittsburgh, PA · On-site
$118K - $156K/yr
... LLM models into our Air Enterprise Readiness platform to enhance user experience. * Develop new ... Experience developing custom training sets for large language models * Experience productionizing ...
Quick apply
Senior Machine Learning Engineer
Pittsburgh, PA · On-site
$118K - $156K/yr
... LLM models into our Air Enterprise Readiness platform to enhance user experience. * Develop new ... Experience developing custom training sets for large language models * Experience productionizing ...
Senior Machine Learning Engineer
Pittsburgh, PA · On-site
$118K - $156K/yr
... LLM models into our Air Enterprise Readiness platform to enhance user experience. * Develop new ... Experience developing custom training sets for large language models * Experience productionizing ...
Senior Machine Learning Engineer
Pittsburgh, PA · On-site
$118K - $156K/yr
... LLM models into our Air Enterprise Readiness platform to enhance user experience. * Develop new ... Experience developing custom training sets for large language models * Experience productionizing ...
We believe that a promising approach is to use large language models (LLMs) to better understand ... LLM training in the cloud. The data scientist will have the opportunity to work with physicians ...
We believe that a promising approach is to use large language models (LLMs) to better understand ... LLM training in the cloud. The data scientist will have the opportunity to work with physicians ...
Foundational understanding of large-language-model and generative-AI concepts (prompting, context ... Hands-on experience shipping generative-AI features in production (RAG, prompt design, LLM API ...
Foundational understanding of large-language-model and generative-AI concepts (prompting, context ... Hands-on experience shipping generative-AI features in production (RAG, prompt design, LLM API ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
Large Language Models and experience identifying ways to incorporate them into new areas and applications * Object detection algorithms such as YOLO and Faster-RCNN * Natural Language Processing ...
AI Research Scientist - PhD - AI Trainer
Philadelphia, PA · Remote
$55 - $80/hr
Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models. * Create high-quality data by developing difficult problems in your domain to inform ...
Quick apply
AI Research Scientist - PhD - AI Trainer
Philadelphia, PA · Remote
$55 - $80/hr
Contribute subject matter expertise to a cutting-edge project involving state-of-the-art large language models. * Create high-quality data by developing difficult problems in your domain to inform ...
... and large language models. We offer generous relocation benefits for eligible candidates. In ... LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs ...
... and large language models. We offer generous relocation benefits for eligible candidates. In ... LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs ...
... and large language models. We offer generous relocation benefits for eligible candidates. In ... LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs ...
... and large language models. We offer generous relocation benefits for eligible candidates. In ... LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs ...
... and large language models. We offer generous relocation benefits for eligible candidates. In ... LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs ...
... and large language models. We offer generous relocation benefits for eligible candidates. In ... LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs ...
... and large language models. We offer generous relocation benefits for eligible candidates. In ... LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs ...
... and large language models. We offer generous relocation benefits for eligible candidates. In ... LLM-as-a-judge) and frameworks (e.g. LangFuse, MLFlow, Arize Phoenix) * Experience with LLMs ...
Entry Level Large Language Model Llm information
What is an entry level large language model LLM?
An Entry Level Large Language Model (LLM) role typically refers to positions where individuals work with advanced AI systems, like ChatGPT or similar models, to support tasks such as data annotation, model evaluation, prompt engineering, or customer support. Entry-level LLM professionals might help train models, test outputs for accuracy, or assist with basic research. These roles usually require strong analytical skills, attention to detail, and some familiarity with AI concepts, but do not always require advanced programming experience. They offer a great starting point for those interested in the field of artificial intelligence and natural language processing.
What types of projects do entry level large language model LLM engineers typically contribute to?
Entry-level professionals in LLM roles often support data preparation, model fine-tuning, and evaluation tasks under the guidance of more experienced engineers or data scientists. They may annotate data, help run experiments, monitor model outputs for quality, and assist in deploying models for internal testing or limited production use. Collaboration with cross-functional teams—including machine learning engineers, product managers, and research scientists—is common, offering valuable exposure to various stages of the LLM development lifecycle. This hands-on experience helps build foundational skills and prepares individuals for more advanced responsibilities in the field.
What are the key skills and qualifications needed to thrive as an entry level large language model LLM engineer?
To thrive as an Entry Level Large Language Model (LLM) Engineer, you need a solid background in computer science, machine learning fundamentals, and proficiency in programming languages like Python, typically supported by a relevant degree. Familiarity with machine learning frameworks (such as PyTorch or TensorFlow), version control systems, and cloud computing platforms is often required. Strong analytical thinking, problem-solving skills, and effective communication set candidates apart in this role. These competencies are crucial for developing, fine-tuning, and deploying LLMs to ensure innovative and reliable AI solutions.
What is the difference between Entry Level Large Language Model Llm vs Data Analyst?
| Aspect | Entry Level Large Language Model Llm | Data Analyst |
|---|---|---|
| Required Credentials | Basic understanding of NLP, programming skills (Python), coursework or certifications in AI/ML | Bachelor's degree in Data Science, Statistics, or related field; often certifications in data analysis tools |
| Work Environment | Research labs, AI companies, tech startups; focus on model development and training | Business environments, consulting firms, finance, healthcare; focus on data interpretation and reporting |
| Industry Usage | AI development, NLP applications, machine learning research | Business intelligence, market analysis, operational insights |
Entry Level Large Language Model Llm roles focus on developing and training NLP models, requiring programming and AI knowledge. Data Analysts interpret data to inform business decisions, often using statistical tools. While both roles involve working with data, Llm positions are more technical and research-oriented, whereas Data Analysts focus on data interpretation and reporting.
What are the most commonly searched types of Large Language Model Llm jobs in Pennsylvania?
The most popular types of Large Language Model Llm jobs in Pennsylvania are:
What are popular job titles related to Entry Level Large Language Model Llm jobs in Pennsylvania?
For Entry Level Large Language Model Llm jobs in Pennsylvania, the most frequently searched job titles are:
What job categories do people searching Entry Level Large Language Model Llm jobs in Pennsylvania look for?
The top searched job categories for Entry Level Large Language Model Llm jobs in Pennsylvania are:
- Internship Deep Reinforcement Learning
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Elsevier rating
8.9
Based on 8 frontline employees who took The Breakroom Quiz
35th of 500 rated business services
Job description
Senior Data Scientist
AI for Science, Research Intelligence & Knowledge Discovery
Build AI That Helps Advance Human Knowledge
What if your next AI model could help accelerate a medical breakthrough, uncover a critical scientific insight, or help researchers solve some of humanity's greatest challenges?
At Elsevier, data science is about far more than algorithms and model performance. It is about applying advanced AI to help researchers, clinicians, educators, and institutions discover knowledge, assess evidence, generate insights, and advance science for the benefit of society.
Every day, millions of researchers rely on our products to navigate an ever-growing universe of scientific information. As a Senior Data Scientist, you will help build the intelligent systems that make scientific knowledge more discoverable, trustworthy, connected, and actionable.
This is AI with purpose. This is technology in service of scientific progress.
About the Role
As a Senior Data Scientist, you will design, build, evaluate, and scale advanced AI solutions that power scientific discovery, research intelligence, knowledge enrichment, and decision support across the global research ecosystem.
You will work on some of the most challenging problems in applied AI, combining machine learning, natural language processing, large language models, retrieval systems, knowledge graphs, and generative AI to help researchers uncover insights faster and make better decisions.
Success in this role requires deep technical expertise, sound judgment, scientific rigor, and the ability to transform complex problems into trusted, production-ready AI solutions that create measurable impact.
About the team
As part of a growing team of Data Scientists, you will take on some of the hardest problems in science. This team is building intelligent systems that can reason across scientific publications, research data, knowledge graphs, ontologies, metadata, taxonomies, citations, and content spanning every scientific discipline
What You'll Do
- Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions that support scientific discovery and knowledge exploration.
- Build and optimize LLM-powered applications, including question answering, literature summarization, semantic search, research insight generation, and evidence-grounded AI experiences.
- Develop retrieval-augmented generation (RAG) systems that connect AI models with trusted scientific and scholarly content.
- Create intelligent capabilities for search, ranking, recommendation, entity extraction, classification, enrichment, and decision support.
- Design evaluation frameworks that measure quality, relevance, reliability, grounding, trustworthiness, and user impact.
- Integrate knowledge graphs, ontologies, taxonomies, citations, metadata, and scientific domain knowledge into AI workflows.
- Partner with engineering teams to produce, monitor, optimize, and continuously improve AI systems at scale.
- Lead technical discovery, influence solution architecture, and guide methodological decisions across initiatives.
- Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation, and responsible AI.
- Collaborate closely with Product, Engineering, Research, Editorial, UX, and domain experts to solve complex scientific and business challenges.
What We're Looking For
- Significant hands-on experience in Data Science, Machine Learning, Artificial Intelligence, NLP, Information Retrieval, Statistics, Computer Science, or a related quantitative discipline.
- Advanced expertise in developing and deploying machine learning, NLP, retrieval, and generative AI solutions in production environments.
- Experience working with modern LLMs, prompt engineering, model evaluation, retrieval systems, and AI-powered workflows.
- Extensive Python programming skills and a track record of building maintainable, production-quality software.
- Experience designing and implementing RAG systems, semantic search, vector retrieval, embeddings, ranking, or recommendation solutions.
- Deep understanding of machine learning fundamentals, experimentation, model evaluation, statistical analysis, and performance measurement.
- Experience with modern AI and ML frameworks such as PyTorch, TensorFlow, Hugging Face, LangChain, LangGraph, or equivalent technologies.
- Experience working with large-scale structured, semi-structured, and unstructured datasets, particularly text-rich or content-heavy data.
- A passion for advancing science, expanding access to knowledge, and building AI systems that create meaningful real-world impact.
Why Join Elsevier
Because your work will matter.
You will help build AI systems that enable researchers to discover knowledge faster, uncover hidden connections, assess evidence more effectively, and accelerate scientific progress around the world.
You will have the opportunity to:
- Solve some of the most challenging AI problems in science and knowledge discovery.
- Work with one of the world's richest collections of scientific, biomedical, and scholarly data.
- Build next-generation AI systems using LLMs, retrieval, knowledge graphs, semantic search, and generative AI.
- Create trusted technologies that support researchers, clinicians, educators, institutions, and innovators worldwide.
- Influence how AI is designed, evaluated, governed, and trusted in high-impact scientific environments.
- Collaborate with exceptional colleagues across data science, engineering, product, research, editorial, and domain expertise.
- Mentor others while helping shape the future of AI-powered scientific discovery.
- Contribute directly to a mission dedicated to advancing science, improving health outcomes, and expanding human knowledge.
At Elsevier, AI is not just about what technology can do. It is about what humanity can achieve when knowledge becomes more accessible, discoverable, and actionable.
That is the impact of your work.
U.S. National Base Pay Range: $95,300 - $158,800. Geographic differentials may apply in some locations to better reflect local market rates. If performed in Maryland, the base pay range is $100,100 - $166,800.If performed in New York, the base pay range is $104,800 - $174,700.If performed in New York City, the base pay range is $114,300 - $190,500.If performed in Rochester, NY, the base pay range is $95,300 - $158,800.If performed in New Jersey, the base pay range is $112,574 - $179,826. This job is eligible for an annual incentive bonus.We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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About Elsevier
Sourced by ZipRecruiter
Industry
Print media publishing
Company size
5,001 - 10,000 Employees
Headquarters location
Amsterdam, NY, US