AI Engineer

The AI Engineer at Point72 is responsible for exploring opportunities to leverage Generative AI and Machine Learning to enhance business processes. Key duties include developing technical roadmaps for GenAI solutions, prototyping and delivering projects, engaging cross-firm collaboration, and ensuring rigorous model governance practices.

Candidates for the AI Engineer position at Point72 should possess a Bachelor’s degree in computer science or a related field, along with a minimum of 5 years of professional experience in leveraging AI/ML for business enhancement. Strong programming skills in languages such as Java, Python, and SQL are essential, along with excellent communication abilities.

An AI Engineer at Point72 will work with various modern technologies including Kafka, Spark, Cloud warehouses, and Data Lakes. Your role will also involve both on-premise and AWS environments, utilizing programming languages such as Java, Python, and SQL to deliver innovative solutions.

The annual base salary range for the AI Engineer role at Point72 is between $175,000 and $225,000. Actual compensation may vary based on geographic location, work experience, education, and other relevant factors.

Point72 is committed to the well-being and growth of its employees by offering fully-paid health care benefits, generous parental leave, volunteer opportunities, and wellness programs. They also support employee-led affinity groups and provide tuition assistance to foster career development.

Discuss any specific projects where you applied Generative AI or Machine Learning, detailing the challenges you faced, the techniques used, and the outcomes. Highlight your hands-on experience with prototyping and delivering AI-driven solutions.

Share your systematic approach in identifying business needs, setting milestones, and coordinating resources. Emphasize collaboration with cross-functional teams to ensure alignment and value-focused outcomes.

Illustrate a specific challenge, your thought process in addressing it, and the eventual solution. Focus on your analytical skills and how you grounded your decision-making in data.

Discuss your proficiency in programming languages such as Java, Python, and SQL, providing examples of how you’ve utilized them in previous projects to develop model algorithms or manage data efficiently.

Share your understanding of best practices for model governance, including testing, monitoring, documentation, and your strategies for identifying and mitigating bias within models.

Talk about your strategies for continuous learning, such as following industry journals, attending conferences, and engaging with professional networks that focus on AI/ML advancements.

Provide insights into your experience with AWS or other cloud platforms to scale AI solutions, discussing specific projects where you leveraged cloud resources to enhance capabilities.

Explain your prioritization framework that helps you handle complex projects, perhaps by using tools, stakeholder feedback, or data-driven insights to inform decisions.

Share instances where you worked directly with Compliance, highlighting your approach to integrating regulatory considerations into AI project development and the importance of cross-departmental communication.

Express genuine enthusiasm for the innovative environment at Point72, emphasizing how their commitment to AI aligns with your career goals and passion for using technology to drive business solutions.