Machine Learning Researcher • Mid-Level

Who you are

You have a strong background in machine learning or quantitative research, ideally with a focus on financial markets. Your experience includes deploying machine learning models in real-time, low-latency environments, and you are familiar with optimizing model latency and inference speed. You possess a solid understanding of deep learning architectures such as Transformers, RNNs, CNNs, and Attention mechanisms. Your programming skills in Python and C++ are complemented by your knowledge of Jax and PyTorch, which you have used to implement scalable training solutions. You are driven by a passion for applying machine learning to quantitative finance and have a strong mathematical and statistical foundation, including probability theory, linear algebra, and calculus.

Desirable

While experience is preferred, we are open to highly motivated fresh graduates who are eager to learn and grow in this field. Familiarity with model optimization techniques such as KV caching, quantization, and pruning will be advantageous. You have excellent analytical and communication skills, allowing you to articulate complex technical concepts clearly.

What you'll do

In this role, you will be responsible for designing and deploying deep learning models tailored for high-performance trading systems. You will analyze and preprocess orderbook data, ensuring that it is ready for model training. Your expertise will be crucial in developing robust and scalable models that can be integrated into our trading infrastructure. You will implement parallelized data loading pipelines to facilitate scalable training and optimize orderbook features using C++. Rigorous backtesting across various markets will be part of your responsibilities, ensuring that the models perform well under different conditions. Additionally, you will deploy these models into real-time, low-latency systems, contributing to the overall efficiency and effectiveness of our trading operations.

What we offer

At Kronos Research, you will be part of a dynamic research team that values innovation and collaboration. We provide an environment that encourages continuous learning and professional development. You will have the opportunity to work on cutting-edge technologies and contribute to impactful projects in the financial sector. We offer competitive compensation and benefits, along with a supportive culture that fosters growth and success.