Distinguished Engineer, Generative AI Systems (Remote Eligible)

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Job Overview

The Distinguished Engineer, Generative AI Systems at Dice is tasked with leading the development and enhancement of innovative AI solutions. This pivotal role involves driving the architecture, design, and implementation of generative AI systems that not only meet business objectives but also push the boundaries of technological advancements. The incumbent will collaborate with cross-functional teams to integrate AI solutions that enhance product offerings and foster a culture of innovation within the organization.

Job Responsibilities

• Lead and architect generative AI solutions that align with business goals and advance technological capabilities.
• Collaborate with product management and engineering teams to conceptualize and implement AI-driven features.
• Conduct research and feasibility studies to explore the application of cutting-edge AI technologies.
• Mentor and guide engineering teams in best practices related to AI development and deployment.
• Conduct code reviews and establish coding standards to ensure the highest quality of engineering practices.
• Stay abreast of advancements in AI technology and propose strategies for their integration into existing systems.
• Engage with stakeholders to communicate progress, challenges, and proposed solutions effectively.
• Contribute to open-source projects and actively participate in relevant external communities.

Qualifications

• Master’s degree in Computer Science, Artificial Intelligence, or a related field; Ph.D. preferred.
• Over 10 years of experience in software engineering, with a focus on AI and machine learning.
• Proven experience in designing and deploying generative AI systems.
• Strong programming skills in languages such as Python, Java, or C++.
• Extensive knowledge of machine learning frameworks and libraries, such as TensorFlow or PyTorch.
• Exceptional problem-solving skills and a robust analytical mindset.
• Excellent communication and interpersonal skills for effective collaboration with cross-functional teams.

Technologies & Tools

The Distinguished Engineer will utilize a variety of advanced technologies and tools, including but not limited to cloud computing platforms (such as AWS or Azure), containerization tools (like Docker and Kubernetes), data visualization libraries, and machine learning frameworks. Proficiency in version control systems such as Git and collaboration tools like JIRA or Confluence will also be critical for productivity in this role.

Ideal Candidates

Ideal candidates for this position will possess a deep passion for artificial intelligence and a relentless drive to innovate. They should exhibit strong leadership qualities, fostering a collaborative environment while pushing initiatives forward. Attributes such as curiosity, adaptability to changing technology landscapes, and an emphasis on quality will be crucial. Furthermore, successful candidates will demonstrate a commitment to mentoring others and contributing to the broader tech community through thought leadership and engagement.