Research Engineer / Scientist - Perception

As a Research Engineer / Scientist - Perception at OpenAI, your primary responsibilities will include building and innovating various components of the perception stack, collaborating with fellow team members on cutting-edge multimodal models, and bringing the benefits of advanced perception research to masses. Whether you're tackling datasets, modeling, or evaluation, your work will significantly impact our flagship AI models like GPT-4o.

Candidates applying for the Research Engineer / Scientist - Perception should have a strong foundation in deep learning, experiences in multimodal models, and a keen interest in perception evaluations and neural network architectures. Both roles require a demonstrated ability to conduct experiments, navigate complex results, and drive innovation in AI research.

At OpenAI, the work environment balances collaboration and flexibility. We utilize a hybrid work model, where team members work three days in the office. This structure fosters teamwork while providing the comfort of remote work when needed. Collaboration is key, and you’ll often engage with a diverse group of brilliant minds dedicated to advancing AI technology.

Yes, OpenAI offers relocation assistance for candidates moving to San Francisco to join our Research Engineer / Scientist - Perception teams. We aim to support you during your transition and make the onboarding process as smooth as possible.

The culture at OpenAI is rooted in collaboration, innovation, and inclusivity. We encourage a variety of perspectives and experiences, valuing contributions from every team member. As part of our Perception team, you’ll find supportive peers dedicated to pushing the boundaries of technology while ensuring that our innovations benefit humanity.

When answering this question, focus on your experience with designing and implementing scalable models. Discuss specific projects where you contributed to the perception stack, emphasizing your problem-solving approach and any relevant technologies or frameworks you used. Showing passion for the science behind AI and a systematic approach will impress interviewers.

Select a project that highlights both your technical skills and collaborative efforts. Describe the challenges faced, your role in overcoming them, the methodologies employed, and the outcomes. Use this opportunity to demonstrate your innovation mindset and your ability to work well within a team at OpenAI.

Explain how you use the scientific method to drive your research forward. Illustrate your process from hypothesis formation to experiment design, data analysis, and deriving conclusions. Highlight how this structured approach can contribute to advancing AI at OpenAI.

In your answer, emphasize your understanding of key performance metrics, optimization techniques, and tuning strategies. Discuss tools or frameworks you've utilized for performance monitoring and describe how you leverage data to refine systems based on feedback.

Share specific examples of large datasets or models you've worked with. Discuss your role, the challenges you faced, and any significant results achieved. Highlight your capability to manage and analyze large sets of data and how this experience can benefit OpenAI.

Mention the journals, conferences, and online platforms you engage with to keep your knowledge updated. Discuss any particular trends or breakthroughs and your ideas on how they could impact the future of perception at OpenAI.

Describe specific evaluation metrics and methodologies you’ve employed in past projects. Explain how you assess the effectiveness and accuracy of perception systems, and include examples where possible to illustrate your point.

To answer this effectively, draw upon your past experiences working in diverse teams. Share an example where teamwork led to a successful outcome, emphasizing communication skills, compromise, and collective problem-solving efforts.

Provide examples of projects where you introduced innovative practices or technologies. Discuss the problems they addressed, the outcomes, and how these innovations could inspire similar developments within the context of your role at OpenAI.

Discuss strategies you utilize for task management, such as setting deadlines, weighing the impact of projects, and communicating effectively with your team. Providing a personal anecdote can demonstrate your ability to juggle responsibilities at OpenAI.