Sr Engineer - Gen AI

A Senior Engineer - Gen AI at Target is responsible for leading the development of generative AI applications, optimizing performance and scalability, and collaborating cross-functionally with data scientists and product managers. They also mentor junior engineers, stay updated on AI advancements, and oversee the deployment of applications on cloud platforms, ensuring they meet high standards of quality and performance.

To apply for the Senior Engineer - Gen AI position at Target, candidates should hold at least a Bachelor's degree in Computer Science, Engineering, or a related field, preferably a Master's degree. Additionally, candidates need over six years of professional experience in Python and should have expertise in machine learning frameworks such as TensorFlow or PyTorch, with knowledge of Generative Adversarial Networks (GANs) being highly desirable.

As a Senior Engineer - Gen AI at Target, you will be responsible for researching and proposing new ideas that leverage the latest advancements in artificial intelligence. Your innovative solutions will help drive business objectives while enhancing the overall technology capabilities of Target, leading to impactful advancements within the organization.

In the Senior Engineer - Gen AI role at Target, you will be part of a global in-house technology team that includes over 4,000 professionals such as engineers, data scientists, architects, and product managers. This diverse team collaborates closely to create high-performance technology solutions that enhance the shopping experience for millions of guests.

At Target, a Senior Engineer - Gen AI has significant opportunities for growth and mentorship. You will not only advance your technical skills but will also mentor junior engineers, sharing best practices and technical knowledge. The supportive environment fosters career development and encourages continuous learning and innovation.

In responding to this question, highlight specific projects you've worked on involving generative AI, detailing your role and the outcomes. Discuss your familiarity with frameworks like TensorFlow or PyTorch and how you've implemented these technologies to solve real-world problems.

Address how you identify bottlenecks in applications and the strategies you've used to optimize performance. Provide examples of specific models you’ve improved and the metrics you used to measure success, including any experience with cloud services.

When discussing mentoring, focus on your approach to sharing resources, providing constructive feedback, and guiding junior engineers through challenges. Emphasize the importance of creating a supportive learning environment and how mentoring leads to team growth.

Talk about the resources you utilize for professional development, such as conferences, online courses, research papers, or influential AI blogs. Highlight any specific techniques or ideas you've implemented based on the latest trends in AI.

Outline how you engage with team members from different departments, ensuring effective communication and understanding of project goals. Discuss any tools or methodologies you use to foster collaboration and resolve conflicts.

Provide a detailed narrative of a challenging situation you faced in a previous project, explaining the steps you took to analyze and solve the issue. Emphasize your problem-solving skills and the positive results achieved.

When answering, stress the importance of clear, organized documentation for both technical and non-technical stakeholders. Elaborate on the types of documentation you maintain, such as architectural guides, tutorials, or code comments.

In your response, discuss potential challenges like ethical considerations, data privacy, or model bias. Offer insights into how you believe these challenges can be addressed with innovative solutions or improved practices.

Describe your time management strategies, emphasizing the importance of prioritization and efficiency in the development process. Share an example of a project where you met a tight deadline and what measures you took to ensure its success.

Discuss your techniques for fostering a culture of creativity, such as conducting brainstorming sessions, encouraging experimentation, and supporting a safe environment where ideas can be shared without judgment. Provide examples of innovative solutions that emerged from your team.