Post-training Software Engineer, Full Stack

As a Post-training Software Engineer at xAI, your key responsibilities include developing user-friendly data management and visualization tools, creating efficient model evaluation applications, and enhancing the entire post-training workflow. You’ll collaborate closely with multiple teams, ensuring that you take ownership of the applications you build and iterate based on real-world feedback, all while leveraging your expertise as an experienced full-stack developer.

To thrive in the Post-training Software Engineer role at xAI, you'll need to be an expert full-stack developer with a solid understanding of standard software engineering best practices like CI/CD, code quality, and performance testing. Familiarity with post-training workflows, specifically supervised fine-tuning and reinforcement learning from human feedback, is highly desirable, alongside proficiency in languages and technologies such as Python, TypeScript, React, and Rust.

The interview process at xAI for the Post-training Software Engineer position starts with a review of your application and CV by a team member. Following that, if you’re selected, you'll have a short phone interview to discuss some basic topics. If successful, you will then move to coding assessments, technical sessions on post-training tooling, and an opportunity to present your exceptional past work to the team. The entire process aims to conclude within a week, emphasizing direct communication with the technical team rather than relying on third-party recruiters.

At xAI, the annual salary range for the Post-training Software Engineer position is between $180,000 and $440,000 USD. This reflects the company's commitment to rewarding skilled professionals who contribute to the advancement of AI technology.

The location for the Post-training Software Engineer position at xAI is in the Bay Area, encompassing both San Francisco and Palo Alto, CA. Candidates should be located near the Bay Area or be open to relocating to join this innovative team.

When answering this question, highlight your proficiency in front-end and back-end technologies, along with specific examples of projects where you've successfully integrated these skills. Discuss your experience with the programming languages and frameworks mentioned in the job description, like Python, TypeScript, and React.

Share any relevant experience you have with post-training workflows such as supervised fine-tuning and reinforcement learning from human feedback. Provide examples of projects where you've implemented or operated within these workflows, emphasizing how your contributions improved outcomes.

Talk about specific methodologies you use to maintain code quality, such as code reviews, continuous integration, and automated testing. Provide instances where these practices helped to catch bugs early or improve team collaboration.

Use the STAR method to outline a specific challenge you've faced, how you approached it, the steps you took to resolve it, and what the result was. Focus on your ability to work collaboratively with your team during this process.

Express your belief that user experience is crucial in software development. Provide examples of how you have influenced user experience elements in your past projects, detailing your approach to gathering user feedback and iterating on designs.

Choose a recent example and discuss the steps you took to familiarize yourself with the new technology. Emphasize your adaptive learning skills, and how you eventually applied this new knowledge to deliver project success.

Discuss your strategies for effective communication and collaboration with cross-functional teams. Highlight experiences where you worked closely with designers, product managers, or other engineers to achieve a common goal, stressing the importance of shared objectives.

Detail specific instances where you identified performance bottlenecks in applications and the steps you took to address them. Discuss tools or methodologies you employed for profiling and optimizing applications.

Mention any specific tools or libraries you are proficient in, explaining how you have utilized them in previous roles. Discuss the importance of providing insightful visualizations and efficient data management within projects you’ve worked on.

Share your approach to continuous learning in the rapidly evolving field of software development. Mention resources such as online courses, industry blogs, webinars, or professional groups that you actively engage with for staying informed.