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

• 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

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.

If you're a recruiting agency and want to partner with us, please reach out to recruiting@sig.com. Any resume or referral submitted in the absence of a signed agreement will not be eligible for an agency fee.

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