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, including Transformers, RNNs, CNNs, and Attention mechanisms. Your programming skills in Python and C++ are complemented by your knowledge of Jax or PyTorch, which you have used to implement scalable training solutions. You are motivated to apply machine learning techniques to quantitative finance and have a passion for continuously improving models.

What you'll do

In this role, you will be responsible for understanding and preprocessing orderbook data to develop robust deep learning models tailored for time-series analysis. You will design and implement models that integrate seamlessly into our trading infrastructure, ensuring they are scalable and efficient. Your responsibilities will include developing and optimizing orderbook features using C++, as well as conducting rigorous backtesting across various markets to evaluate model performance. You will also deploy models into real-time, low-latency systems, ensuring they meet the high-performance standards required in trading environments. Collaboration with other team members will be essential as you work to enhance our trading strategies through advanced machine learning techniques.

What we offer

At Kronos Research, you will be part of a dynamic research team focused on pushing the boundaries of machine learning in finance. We offer a collaborative environment where your contributions will directly impact our trading systems. You will have opportunities for professional growth and development, as well as access to cutting-edge technologies and resources. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse perspectives and a willingness to learn.