My client is one of the most prestigious systematic hedge funds in the world with a growing centralized Machine Learning and AI division in their Philadelphia office.
They are looking for an experienced Machine Learning Engineer ideally with a strong Data Engineering background to join their growing team to support their AI efforts.
If you are looking for a Machine Learning Engineering role in the world of Quantitative Finance then this is the opportunity for you.
Requirements
3 years of experience.
Strong programming experience with a background in building Data Pipelines ETL processes and Machine Learning model fine-tuning implementation and optimization.
Experience working with large data sets (100s of petabytes).
Degree in a related STEM field.
Compensation
$400000 - $800000 Total Compensation depending on level of experience.
Extensive Medical Dental and Vision Insurance
Whats the Job
As a Machine Learning Engineer in their fast-growing AI group you will be part of a group that owns AI and all of the related products across the fund. Your teams AI work will be used to create trading strategies and insights to power quantitative research and trading. You will be specifically supporting the work of Quantitative Researchers focused on developing quantitative trading models.
You will be handling hundreds of petabytes of data and implementing high-performance data pipelines that are used for processing large-scale datasets. You will also be responsible for developing tools for handling the training optimizing and fine-tuning their advanced models. Finally you should expect to work closely with the business and research teams to achieve their goals and objectives.
Location
This role requires you to work out of their Philadelphia office five days a week. They do cover relocation expenses if you are looking to move.
Interview Process
To learn more apply here today or contact me directly at:
Required Experience:
IC