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Role Overview We are seeking an experienced Machine Learning Researcher to join our research team. This role requires expertise in designing and deploying deep learning models within high-performance, low-latency trading systems. You will be working on developing robust, scalable models and integrating them into our trading infrastructure.  Responsibilities
Data Analysis & Preprocessing:Â Understand and preprocess orderbook data. Deep Learning Model Design:Â Design models for time-series and orderbook data (Transformers, RNNs, CNNs, Attention). Scalable Training Implementation:Â Implement parallelized data loading pipelines. Feature Engineering:Â Develop and optimize orderbook features using C++. Backtesting & Evaluation:Â Conduct rigorous backtesting across markets. Production Integration:Â Deploy models into real-time, low-latency systems.
Requirements
Background in machine learning or quantitative research, preferably related to financial markets. Experience deploying ML models in real-time, low latency environments is a plus. Familiarity with optimizing model latency and inference speed(e.g., KV caching, quantization, pruning) is advantageous. Open to both experience candidates and highly motivated fresh graduated.
Technical Skills
Deep Learning Architectures:Â Transformers, RNNs, CNNs, Attention mechanisms. Programming Languages:Â Python, C++, Jax/PyTorch Model Optimization:Â Optimizing models for high-performance trading systems.
Analytical & Communication Skills
Strong mathematical and statistical background (probability theory, linear algebra, calculus). Ability to articulate complex technical concepts.
Motivation & Learning
Passion for applying machine learning to quantitative finance. Drive to continuously improve models.
Is machine learning a good career?
Yes, machine learning is a rapidly growing field and can be a very promising career option for those interested in it
As businesses and industries increasingly rely on data to drive decision-making, there is a growing need for skilled professionals who can analyze and make sense of this data
Machine learning, which involves developing algorithms that can learn from and make predictions on large datasets, is a crucial part of this process
Machine learning careers can range from data analysts, machine learning engineers, data scientists, and more
These professionals work in a variety of industries, including finance, healthcare, e-commerce, and technology
The demand for machine learning experts is high, and the salaries in this field are also generally quite competitive
However, it's important to note that machine learning can be a complex field that requires a strong background in mathematics, statistics, and computer science
It also requires ongoing learning and staying up-to-date with the latest developments and tools in the field
If you enjoy working with data, have a strong interest in programming, and are willing to put in the effort to stay current with developments, a career in machine learning can be very rewarding.