Member of Technical Staff, Software

As a Member of Technical Staff, Software at Advex, your primary responsibilities will include collaborating with founders to develop our core AI data collection product, contributing significantly to the architectural roadmap, and scaling our platform to serve some of the largest companies globally. Your role will encompass all aspects of end-to-end machine learning application development, from data engineering to model tuning and serving.

To qualify for the Member of Technical Staff, Software position at Advex, you should have 2 to 5 years of experience in full stack development and deep learning. A solid understanding of machine learning application development is essential, along with expertise in computer vision and possibly diffusion models. Experience in a startup environment and a proven record of delivering complex projects under tight deadlines are also crucial.

Advex utilizes a modern tech stack for its Member of Technical Staff, Software role, including Next.js for frontend development, Tailwind for styling, and FastAPI for building APIs. For machine learning tasks, you will work with PyTorch and Python, focusing on creating robust AI models for data collection and processing.

Advex firmly believes in several core values including Extreme Ownership, Fierce Velocity, simplicity (The Best Part is No Part), and a customer-centric approach. We foster an environment that encourages feedback, collaboration, and exploration of innovative ideas, all of which are essential to our team's success and growth.

Advex is dedicated to supporting immigrant workers, including international students and workers on various visa types such as OPT, H1, and EB. We understand the challenges and provide assistance throughout their journey to ensure a smooth transition into our company and culture.

When answering this question, share specific projects where you successfully worked on machine learning applications, emphasizing your role in each phase from data collection to serving the model. Discuss the technology stack you used and how your contributions positively impacted the project.

Describe your thought process when tackling complex problems in deep learning. Emphasize your systematic approach, including breaking down problems, utilizing data analysis, and exploring different model architectures to achieve the best results.

Provide an example of a situation where you had to make a quick decision. Explain how you weighed the available options, what factors you considered, and the outcome of your decision. Highlight your ability to adapt and take ownership of the results.

Discuss your familiarity with the tech stack used at Advex, focusing on Next.js, Tailwind, FastAPI, PyTorch, and Python. Provide specific examples of projects you've worked on using these technologies and how they contributed to successful outcomes.

Explain your approach to writing high-quality code, such as writing unit tests, conducting code reviews, and using best practices. Discuss any tools or methodologies you use to maintain code quality and reduce bugs in production.

Share your understanding of customer-centric development and discuss how you gather feedback from users to refine and improve applications. Highlight how this feedback loop is essential to building a product that meets and exceeds customer expectations.

Talk about your experiences in a startup, including the fast-paced nature of the work, the need for flexibility, and how you adapted to changing priorities. Emphasize the skills you've gained from collaborating with diverse teams and wearing multiple hats.

Highlight a few deep learning projects you've led or contributed to significantly. Discuss the technical challenges you faced, the innovative solutions you implemented, and the overall impact of the project on the organization or community.

Share your strategies for staying informed about the AI and machine learning landscape. Mention relevant blogs, conferences, online courses, or communities you engage with, and how you apply new insights to your work.

Discuss your interpretation of 'Extreme Ownership' and how it applies to your work as a software developer. Provide examples of how you take responsibility for your tasks, initiatives you’ve led, and how this mindset benefits collaboration and project success.