AI Engineer, L/S

A Career in Long/Short Equities at Point72  

The AI Engineer, L/S will be embedded within the firm’s Discretionary Equity business, and will be responsible for identifying, developing, and building potential solutions that leverage Artificial Intelligence and Machine Learning in an effort to deliver differentiated insights and performance. In the near term, these initiatives may potentially provide investment professionals with better workflows, unlock differentiated insights, and drive efficiencies.   

You will play a unique role by identifying key business problems and working to solve them by applying advanced AI/ML techniques. This includes building prototypes to prove out hypotheses and delivering production-grade capabilities to enable broad value creation for the firm.  

Your projects will span both on-premises and AWS environments, leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and employing programming languages like Java, Python, and SQL.  

As part of the AI/ML community at Point72, our teams collaborate horizontally with one another and vertically with our AI Platform and Data Teams, and Compliance to define the AI Strategy for the firm including its infrastructure, architecture, models, and data needs.  

What you’ll do  

• Identify opportunities and develop technical roadmaps for AI solutions
• Scope, prioritize, prototype and deliver AI projects to help solve key business problems for Discretionary Equity, spanning both on-premises and AWS environments, and leveraging technologies such as Kafka, Spark, Cloud warehouses, and Data Lakes, and using programming languages such as Java, Python, and SQL
• Lead collaborations across the firm, where appropriate, on AI/ML initiatives and techniques
• Deliver analytics and insights to measure value of solutions delivered
• Partner with groups across the firm on AI initiatives, including Technology and Compliance, to contribute to the firm’s AI Strategy 
• Partner internally to establish rigorous model governance practices, including testing, monitoring, and documentation to ensure solutions remain accurate and bias-free 
• Stay up to date on AI/ML market landscape, trends, and technological innovations to provide recommendations on new tools and methodologies for adoption 

What’s required  

• Demonstrated success leveraging AI/ML to drive/improve financial outcomes or similar / adjacent fields
• Minimum 5+ years of professional experience
• Development, ownership, and technical leadership of AI solutions, including model selection, fine-tuning, and ideally model development
• Excellent written and verbal communication skills 
• Bachelor's degree in computer science, engineering, or related field 
• Commitment to the highest ethical standards 

We take care of our people   

We invest in our people, their careers, their health, and their well-being. When you work here, we provide:  

• Fully-paid health care benefits 
• Generous parental and family leave policies 
• Mental and physical wellness programs 
• Volunteer opportunities 
• Non-profit matching gift program 
• Support for employee-led affinity groups representing women, minorities and the LGBTQ+ community 
• Tuition assistance 
• A 401(k) savings program with an employer match and more 

 About Point72  

Point72 is a leading global alternative investment firm led by Steven A. Cohen. Building on more than 30 years of investing experience, Point72 seeks to deliver superior returns for its investors through fundamental and systematic investing strategies across asset classes and geographies. We aim to attract and retain the industry’s brightest talent by cultivating an investor-led culture and committing to our people’s long-term growth. For more information, visit www.Point72.com/about.

The annual base salary range for this role is $175,000-$225,000 (USD), which does not include discretionary bonus compensation or our comprehensive benefits package. Actual compensation offered to the successful candidate may vary from posted hiring range based upon geographic location, work experience, education, and/or skill level, among other things.