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Internship Aws Machine Learning Jobs in Pennsylvania

HCL Global Systems Inc

AI/ML Engineer

Malvern, PA · On-site

... machine learning solutions. They are seeking an AI/ML Engineer to implement agentic frameworks, develop generative AI applications, and manage AWS ML engineering tasks to support scalable and ...

Gather AI

Director of Machine Learning

Pittsburgh, PA · On-site

They are seeking a Director of Machine Learning to define the ML strategy, lead the computer vision ... with AWS or GCP ML services (SageMaker, Vertex AI) Company : We deliver the foundational ...

Vanguard

Machine Learning Engineer, Specialist

Malvern, PA

$112K - $134K/yr

The ideal candidate will possess a robust background in traditional machine learning, applied GenAI, and significant experience with large datasets and AWS cloud-based AI/ML services. Supports and ...

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Infographic showing various Internship Aws Machine Learning job openings in Pennsylvania as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 22% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Machine Learning Internship - PhD: 2027

SIG Susquehanna

Bala Cynwyd, PA • On-site

$80 - $120/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Overview

Our Machine Learning PhD Internship is a 10-week immersive experience designed for PhD candidates who are passionate about solving high-impact problems at the intersection of data, algorithms, and markets.

As a Machine Learning Intern at Susquehanna, you’ll work on high-impact projects that closely reflect the challenges and workflows of our full-time research team. You’ll apply your technical expertise in machine learning and data science to real-world financial problems, while developing a deep understanding of how machine learning integrates into Susquehanna’s research and trading systems. You will leverage vast and diverse datasets and apply cutting‑edge machine learning at scale to drive data‑informed decisions in predictive modeling to strategic execution.

What You Can Expect
  • Conduct research and develop ML models to identify patterns in noisy, non‑stationary data
  • Work side‑by‑side with our Machine Learning team on real, impactful problems in quantitative trading and finance, bridging the gap between cutting‑edge ML research and practical implementation
  • Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches
  • Design and run experiments using the latest ML tools and frameworks
  • One‑on‑one mentorship from experienced researchers and technologists
  • Participate in a comprehensive education program with deep dives into Susquehanna’s ML, quant, and trading practices
  • Apply rigorous scientific methods to extract signals from complex datasets and shape our understanding of market behavior
  • Explore various aspects of machine learning in quantitative finance from alpha generation and signal processing to model deployment and risk‑aware decision making
What we’re looking for
  • Currently pursuing a PhD in Computer Science, Machine Learning, Statistics, Physics, Applied Mathematics, or a closely related field
  • Proven experience applying machine learning techniques in a professional or academic setting
  • Strong publication record in top‑tier conferences such as NeurIPS, ICML, or ICLR
  • Hands‑on experience with machine learning frameworks, including PyTorch and TensorFlow
  • Deep interest in solving complex problems and a drive to innovate in a fast‑paced, competitive environment
Why Join Us?
  • Work with a world‑class team of researchers and technologists
  • Access to unparalleled financial data and computing resources
  • Opportunity to make a direct impact on trading performance
  • Collaborative, intellectually stimulating environment with global reach
About Susquehanna

Susquehanna is a global quantitative trading firm powered by scientific rigor, curiosity, and innovation. Our culture is intellectually driven and highly collaborative, bringing together researchers, engineers, and traders to design and deploy impactful strategies in our systematic trading environment. To meet the unique challenges of global markets, Susquehanna applies machine learning and advanced quantitative research to vast datasets in order to uncover actionable insights and build effective strategies. By uniting deep market expertise with cutting‑edge technology, we excel in solving complex problems and pushing boundaries together.

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