AI Engineer

As an AI Engineer at Story, your primary responsibilities will involve designing and integrating AI solutions that align with our blockchain protocols. You will focus on the Proof-of-Creativity protocol while developing AI SDKs and APIs to foster smooth integration with our infrastructure. You'll also collaborate with external and internal teams to drive innovative solutions and serve as an advocate for AI practices within the company, thus fostering innovation and collaboration.

To qualify for the AI Engineer position at Story, you should hold a Bachelor’s or Master’s degree in Computer Science, Engineering, AI/ML, or a related field. Additionally, practical experience with AI/ML models, programming languages like Python, and strong problem-solving abilities are crucial. Knowledge of blockchain technologies and smart contracts will be a plus, especially if you have experience with NFTs or decentralized creative ecosystems.

The AI Engineer role at Story is unique as it blends AI with blockchain technology, particularly focusing on integrating AI solutions with our bespoke Proof-of-Creativity protocol. Your work will involve ensuring that AI systems enhance the functionality and accessibility of our blockchain, ultimately catering to the seamless creation and ownership of digital content.

The salary range for an AI Engineer at Story is quite competitive, ranging from $180,000 to $250,000 per year. This range reflects the unique skills and expertise required for this pioneering role that sits at the intersection of AI and blockchain technology.

At Story, we embrace a hybrid work environment, allowing flexibility while encouraging collaboration. As an AI Engineer, you'll be expected to work in the office at least three times a week, engaging with your colleagues in a dynamic atmosphere that fosters innovation and creativity.

Absolutely! When discussing your experience with AI/ML models, emphasize specific projects where you implemented neural networks, transformers, or generative models. Mention how you trained and fine-tuned these models, the tools you used, and the outcomes of your efforts to demonstrate your depth of knowledge in this area.

In approaching AI solutions within a blockchain environment, start by highlighting your understanding of both technologies. Discuss how you identify integration points, the importance of security, and ensuring scalability, and share any experiences where you've successfully combined the two to solve complex problems.

For AI advocacy within teams, focus on communication and education. Share examples of how you’ve provided training sessions or workshops, created documentation, or developed best practices. It’s important to convey your ability to motivate colleagues to embrace AI by demonstrating its tangible benefits for their work.

When answering this question, reflect on a specific AI or blockchain challenge that you faced. Walk the interviewer through your thought process, the steps you took to analyze the problem, and the solution you implemented, highlighting any improvements resulting from your efforts.

You should express your expertise with programming languages like Python and your familiarity with AI frameworks and tools. Talk about how you've used these in prior projects, and don’t forget to mention any experience with building APIs and microservices, which is particularly relevant for the AI Engineer role.

To stay updated on AI and blockchain trends, discuss specific resources you follow—such as journals, blogs, online courses, or webinars. Mention any conferences or meetups you attend and how you apply new learnings to your work, which shows your proactive nature in professional development.

Collaboration is crucial in developing AI solutions because it ensures diverse perspectives and expertise are considered. Discuss how you have previously worked with cross-functional teams, emphasizing your understanding of how effective communication and shared goals lead to superior outcomes.

Problem-solving is at the heart of AI-based projects. Talk about how every phase, from ideation to deployment, requires a problem-solving mindset, especially when dealing with unexpected issues. Share examples where your analytical skills led to successful project adjustments.

If applicable, discuss your experience with smart contracts and digital IP, particularly any projects where you developed, deployed, or interacted with them. Highlight the significance of these technologies in AI and blockchain integration, which aligns with what Story is striving to achieve.

When asked this question, express your passion for innovation and creativity. Share what excites you about contributing to the future of intellectual property at Story, emphasizing how the responsibilities align with your career aspirations and personal interests.