Machine Learning Engineer, VP
Description For Machine Learning Engineer, VP
State Street is seeking a seasoned Machine Learning Engineer at the VP level to join their innovative trading solutions team. This role offers an exciting opportunity to work with cutting-edge technology in the financial sector, specifically leveraging the Databricks platform to enhance trading operations.
The position involves designing and implementing sophisticated machine learning systems that process large datasets to optimize trading strategies. Key projects include developing ML models for market maker & taker interactions, order flow prediction, trade execution optimization, and anomaly detection in trading patterns.
As a VP-level ML Engineer, you'll be at the forefront of applying advanced machine learning techniques to solve complex financial trading challenges. The role combines technical expertise with business impact, as your solutions will directly influence trading efficiency, risk management, and market intelligence.
The ideal candidate brings 5+ years of machine learning engineering experience, preferably with Databricks, and strong expertise in distributed computing and large-scale data processing. The position offers competitive compensation ranging from $130,000 to $205,000 annually, with opportunities to work in either Boston, MA or Vancouver, BC.
State Street provides a comprehensive work environment where employees are valued and supported in their professional growth. The company maintains a strong commitment to inclusion, development, and corporate social responsibility, offering tools to help balance professional and personal life, including paid volunteer days and access to employee networks.
This role represents an excellent opportunity for an experienced machine learning professional looking to make a significant impact in the financial technology sector while working with a global leader in institutional investment services.
Responsibilities For Machine Learning Engineer, VP
- Design and develop systems for processing large datasets and training sophisticated algorithms
- Implement and fine-tune algorithms for optimal efficiency and accuracy
- Conduct experiments to test and evaluate model performance
- Collaborate with cross-functional teams to integrate models into the platform
- Optimize market maker & taker interactions
- Build predictive models for order flow prediction & trade execution
- Implement anomaly detection algorithms
- Design ML-driven risk models
Requirements For Machine Learning Engineer, VP
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field
- 5+ years experience as a Machine Learning Engineer, preferably using Databricks
- Strong proficiency in designing and implementing machine learning algorithms
- Proven experience with Apache Spark, Python and PySpark for large-scale data processing
- Experience with large-scale data processing and distributed computing
- Excellent collaboration and communication skills
