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Postdoctoral Fellow Machine Learning Jobs in Philadelphia, PA

RELX Group plc

Senior Data Scientist

Philadelphia, PA · On-site

Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ... Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation ...

Elsevier

Senior Data Scientist

Philadelphia, PA · On-site

Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ... Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation ...

Elsevier

Senior Data Scientist

Philadelphia, PA

Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ... Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation ...

RELX

Senior Data Scientist

Philadelphia, PA · On-site

Design, develop, and deploy advanced machine learning, NLP, retrieval, and generative AI solutions ... Mentor fellow data scientists and contribute to a culture of technical excellence, experimentation ...

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All JobsPostdoctoral Fellow Machine Learning JobsPostdoctoral Fellow Machine Learning Jobs in Philadelphia, PA

Postdoctoral Fellow Machine Learning information

See Philadelphia, PA salary details

$25.2K

$59.6K

$84.3K

How much do postdoctoral fellow machine learning jobs pay per year?

As of Sep 2, 2026, the average yearly pay for postdoctoral fellow machine learning in Philadelphia, PA is $59,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,400.00 and $67,100.00 per year, depending on experience, location, and employer.

What is a postdoctoral fellow in machine learning?

A Postdoctoral Fellow in Machine Learning is a researcher who has recently completed their PhD and is engaged in advanced research in the field of machine learning. This role typically involves conducting independent or collaborative research, publishing scientific papers, and sometimes mentoring students. Postdoctoral fellows often work at universities, research institutes, or industry labs, focusing on developing new algorithms, improving existing models, or applying machine learning techniques to specific problems. The position is usually temporary, lasting one to three years, and aims to prepare researchers for permanent academic or industry roles.

What are the key skills and qualifications needed to thrive as a postdoctoral fellow in machine learning?

To thrive as a Postdoctoral Fellow in Machine Learning, you need a strong background in computer science, mathematics, and statistics, typically supported by a PhD and relevant research experience. Familiarity with programming languages such as Python, machine learning frameworks like TensorFlow or PyTorch, and experience in high-performance computing environments are commonly required. Strong analytical thinking, effective scientific communication, and collaboration skills help you contribute to research teams and disseminate findings. These skills and qualities are crucial for advancing research, developing innovative solutions, and building a successful academic or industry career in machine learning.

What are some common challenges faced by postdoctoral fellows in machine learning, and how can they be addressed?

Postdoctoral Fellows in Machine Learning often encounter challenges such as balancing independent research with collaborative projects, staying current with rapidly evolving technologies, and securing funding or publishing in top-tier journals. To address these, it's helpful to establish clear communication with mentors and collaborators, set aside dedicated time for reading recent literature, and actively seek feedback on research drafts. Building a professional network through conferences and seminars can also open opportunities for collaboration and career advancement.

What is the difference between Postdoctoral Fellow Machine Learning vs Postdoctoral Research Scientist?

AspectPostdoctoral Fellow Machine LearningPostdoctoral Research Scientist
Required credentialsPhD in Computer Science, Data Science, or related fieldPhD in relevant field, often with specialized research experience
Work environmentAcademic labs, universities, research institutionsResearch labs, industry R&D departments, tech companies
Employer and industry usagePrimarily academia, government researchPrimarily industry, corporate research divisions
Common search and comparison intentUnderstanding academic research roles in machine learningExploring industry-focused research career paths

Postdoctoral Fellow Machine Learning roles typically focus on academic research, requiring a PhD and working in universities or research institutions. In contrast, Postdoctoral Research Scientist positions are often industry-based, emphasizing applied research within corporate R&D departments. Both roles involve advanced machine learning expertise but differ mainly in work environment and career trajectory.

What are popular job titles related to Postdoctoral Fellow Machine Learning jobs in Philadelphia, PA?

For Postdoctoral Fellow Machine Learning jobs in Philadelphia, PA, the most frequently searched job titles are:

What job categories do people searching Postdoctoral Fellow Machine Learning jobs in Philadelphia, PA look for?

The top searched job categories for Postdoctoral Fellow Machine Learning jobs in Philadelphia, PA are:

What cities near Philadelphia, PA are hiring for Postdoctoral Fellow Machine Learning jobs?

Cities near Philadelphia, PA with the most Postdoctoral Fellow Machine Learning job openings:

Postdoctoral Fellow Machine Learning jobs near you

Senior Data Scientist

RELX Group plc

Philadelphia, PA • On-site

Full-time

Re-posted 20 days ago

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.
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