Research Intern

As a Research Intern at Applied Intuition, your responsibilities will primarily involve conducting research on cutting-edge technologies such as differentiable autonomy and multi-modal systems. You'll collaborate closely with our talented Research Scientists and Engineers to analyze large-scale driving data and contribute to high-quality research publications for prestigious conferences, aiming to influence our autonomy stacks from prototype through to mass production.

To qualify for the Research Intern position at Applied Intuition, candidates should be in the process of obtaining a Ph.D. or MSc in machine learning, computer vision, or a related field. Strong research skills and the ability to work both independently and collaboratively are essential. A passion for scalable, next-generation autonomy systems is also a must for prospective interns.

During your internship at Applied Intuition, you will develop a variety of valuable skills, including practical research methodologies in the field of machine learning and computer vision. You will gain experience in closed-loop simulation techniques, generative AI, and contributing to impactful research publications, while also learning how to operate within an innovative, customer-focused culture in the rapidly-evolving tech landscape.

Hands-on experience is certainly beneficial for candidates applying for the Research Intern role at Applied Intuition, especially in areas like differentiable autonomy, multi-view perception, and reinforcement learning. However, if you have a strong research background in relevant fields and demonstrate a passion for the subject, you may still be a great fit even without direct hands-on experience.

Applied Intuition offers competitive compensation for Research Interns, with hourly wages ranging from $60.00 to $75.00. Beyond that, interns can benefit from equity options, comprehensive health and wellness coverage, retirement benefits with employer match, and generous paid time off, making it a fulfilling experience both professionally and personally.

When answering this question, share your passion for autonomous systems and how Applied Intuition's cutting-edge work aligns with your career aspirations. Highlight your commitment to contributing to innovative research and your excitement about working with industry leaders.

Provide specific examples of projects or research related to machine learning and computer vision. Discuss the methodologies you utilized, the outcomes you achieved, and how these experiences have prepared you for the challenges faced in the Research Intern role.

Demonstrate your organizational skills by describing a systematic approach you take to prioritize tasks. Mention the importance of deadlines, collaboration with team members, and continuous evaluation of project goals to ensure that you are meeting the expectations of your research.

Share a specific instance of a challenging research problem, detailing your analytical process, the strategies you employed to address the issue, and what you learned from that experience. Emphasize your resilience and ability to think critically, which is vital for a Research Intern.

Express your vision for the future of autonomous systems, discussing key trends, technological advancements, and their potential impact on society. Highlight your enthusiasm for contributing to these developments at Applied Intuition as a Research Intern.

Discuss your openness to feedback and how you utilize constructive criticism to improve your work. Share an example where receiving feedback helped you refine your research approach or methodology.

Talk about your comfort level with different research methodologies, specifically those relevant to the Research Intern position. Discuss why certain methodologies resonate with you and provide examples of how you've successfully applied them in your work.

Illustrate your collaborative spirit by highlighting your communication skills and your approach to sharing ideas and insights with team members. Emphasize the importance of teamwork in achieving common goals, especially in research settings.

Share your insights on generative AI and its use in enhancing autonomous systems. Discuss relevant projects you’ve encountered or worked on that incorporate this technology, showcasing your understanding of its potential impacts and challenges.

Express your views on the significance of diversity in fostering innovative solutions and perspectives in research. Elaborate on how diverse teams can enhance creativity and decision-making processes, particularly in fields like technology and autonomous systems.