Distinguished Engineer, Generative AI Systems (Remote Eligible)

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Overview

The Distinguished Engineer in Generative AI Systems at SimplyApply will play a pivotal role in shaping the future of artificial intelligence within our organization. This remote-eligible position demands a visionary leader with extensive expertise in generative AI technologies. The successful candidate will be responsible for developing and implementing advanced AI systems, driving innovation, collaborating with cross-functional teams, and mentoring junior engineers to enhance our capabilities in this rapidly evolving field.

Job Responsibilities

• Design, develop, and deploy state-of-the-art generative AI systems aligned with business objectives.
• Conduct research on emerging trends in generative AI and machine learning techniques.
• Lead and mentor a team of engineers, fostering a culture of continuous learning and improvement.
• Collaborate with product managers and stakeholders to define project requirements and deliver innovative solutions.
• Evaluate and integrate cutting-edge technologies into existing systems to enhance functionality and performance.
• Contribute to the formulation of best practices and standards for AI development within the organization.
• Present findings and project progress to senior leadership and other stakeholders.

Qualifications

• Master's or Ph.D. degree in Computer Science, Artificial Intelligence, or a related field.
• Minimum of 10 years of experience in software engineering, with a strong focus on AI and machine learning.
• Extensive experience with generative models such as GANs, VAEs, and transformer architectures.
• Proficiency in programming languages such as Python, Java, or C++.
• Strong understanding of relevant frameworks and libraries, including TensorFlow, PyTorch, or similar.
• Demonstrated leadership experience, with a proven ability to manage and mentor engineering teams.
• Excellent problem-solving skills and a strong analytical mindset.

Technologies & Tools

The Distinguished Engineer will utilize a variety of technologies and tools to support the development of generative AI systems. Proficiency with machine learning frameworks such as TensorFlow and PyTorch is essential, along with experience in data processing tools and libraries (e.g., NumPy, Pandas). Familiarity with cloud platforms such as AWS, Azure, or Google Cloud, and containerization technologies like Docker and Kubernetes is also required to ensure scalable and efficient deployment of AI models.

Ideal Candidates

The ideal candidates for this position are innovative thinkers who are passionate about leveraging technology to create impactful solutions. They possess an entrepreneurial spirit and exhibit strong leadership qualities, with the capability to inspire and guide teams through complex projects. Additionally, they are excellent communicators, comfortable conveying technical concepts to diverse audiences, and possess a strong commitment to ethical AI practices. These candidates thrive in collaborative environments and are dedicated to pushing the boundaries of what's possible in generative AI.