Machine Learning Researcher – LLM

Susquehanna International Group; Bala Cynwyd (PA); On-site; USD 180,000 - 280,000; Full time

Job summary

Susquehanna International Group is expanding its Machine Learning team to tackle ambitious generative AI challenges. As a Deep Learning Researcher, you will align models with human intent, optimize training at scale, and deploy intelligent systems used in real-time trading environments.

You will work with engineers, traders, and researchers, publish work, and contribute to production-grade systems. A PhD or equivalent experience, strong ML background, and proficiency in Python and ML frameworks

Qualifications

• PhD or equivalent practical experience in ML or related field.
• Strong publication record in top conferences.
• Experience with large-scale experiments and model deployment.

Responsibilities

• Lead and contribute to LLM research initiatives from alignment to fine-tuning.
• Design large-scale experiments from data pre-processing to evaluation and deployment.
• Collaborate with engineers, traders, and researchers to move ideas to production.
• Optimize model performance for real-time, high-stakes environments.

Skills

Python programming

Communication skills

Collaborative mindset

Research experience

Education

PhD in Computer Science / Machine Learning

Tools

PyTorch

TensorFlow

JAX

CUDA

ROCm

HPC environments

Job description

Overview

Our Machine Learning team is expanding into large language models (LLMs), and we’re looking for bold, inventive minds to help us push the boundaries of generative AI.

As a Deep Learning Researcher, you will work on some of the most ambitious challenges in the LLM space: aligning models with human intent, optimizing training at scale, and deploying intelligent systems that operate in real-time, high-stakes environments. You will have access to extensive, high-quality proprietary datasets. You’ll have the autonomy to explore novel ideas, the resources to scale them, and the opportunity to see your research power real-world trading systems.

What You’ll Do

• Lead and contribute to research initiatives that advance LLM capabilities, including alignment, fine-tuning, and efficient training
• Design and execute large-scale experiments, from data pre-processing to model evaluation and deployment
• Collaborate with world-class engineers, traders, and researchers to bring ideas from prototype to production
• Optimize model performance for structured tasks such as function calling, multilingual applications, and real-time inference

What we’re looking for

• PhD in Computer Science, Machine Learning, or a related field-or equivalent practical experience
• Experience in ML research or engineering, with a focus on deep learning or generative models
• A strong publication record in top-tier conferences such as NeurIPS, ICML, or ICLR
• Strong background in modern language modeling techniques such as LLM supervised fine-tuning, RLHF, reasoning models, embedding models, multimodal models, or agentic architectures
• Proficiency in Python and ML frameworks such as PyTorch (preferred), TensorFlow, or JAX
• Experience with large-scale distributed training, GPU optimization (CUDA/ROCm), or HPC environments
• Experience designing and operating large-scale data annotation and curation pipelines, including labeling tools, workflow orchestration, quality-control auditing, and learning feedback loops
• Demonstrated ability to take research from conception to production in high-stakes environments
• Strong communication skills and a collaborative mindset

LI-Onsite