Research Engineer - Chicago / NY
ML Research Engineer - Chicago/NY
Who are you?
Since graduation you've spent the last 4 or more years building the infrastructure and platforms for machine learning models to run. Although you excelled at Maths and Computer Science in College it was the engineering side of ML and the many associated challenges that really excited you. Whether your experience was in tech, finance or another data heavy industry, the problems and trade offs between scale, speed and efficiency are the same.
You don't just tackle these problems, you relish them. Python has been your language of choice but you may have also had some experience with C++. You're professional and diligent about the software engineering process, comfortable with iterative development and a stickler for quality and development hygiene.
Yes, that does sound like me - tell me more.
One of the most exciting quant trading launches over the past few years is going through it's next phase of growth. They have models in production and performance is good. They are expanding their research engineering team in Chicago and newly opened office in New York and are looking for somebody like you. The research environment is in Python.
In no particular order you will be :
- Developing and managing high quality, robust and efficient data and model pipelines
- Building the tools that bring models to live trading
- Improving capabilities, performance, reliability, scalability and throughput of trading systems
- Being a core member of the team, working with researchers to improve the profitability of trading tactics
OK, sounds good, I have a few questions, how do I get in touch?
You can book a quick call using the link below if you have any questions or alternatively you can send an email at s.grainger@gslsearch.com