AI Researcher Scientist

As an AI Research Scientist at Autodesk Research, your key responsibilities include developing innovative ML models and AI techniques, leading global research projects, and reviewing cutting-edge AI/ML literature to keep abreast of new developments. You'll also collaborate with academic institutions, publish papers, and contribute to significant conferences, ensuring that your work not only influences Autodesk’s projects but also advances the wider field of AI.

To qualify for the AI Research Scientist role at Autodesk, candidates should possess a Master's or PhD in AI/ML related fields such as Computer Science, Mathematics, or Mechanical Engineering. A strong publication track record in machine learning is preferred, along with substantial post-graduate research experience or at least five years of professional experience. Proficiency in statistical methods, deep learning techniques, and coding in Python or C++ is also essential.

As an AI Research Scientist at Autodesk Research, you'll have numerous opportunities for professional growth. This includes leading influential research projects, collaborating with top industry professionals, and engaging with the academic community through publications and conferences. Autodesk values innovation and empowers its employees to explore and implement their ideas, making it an ideal environment for aspiring scientists.

Autodesk prides itself on a collaborative and supportive culture for all its employees, including AI Research Scientists. The team comprises diverse professionals across global locations who work together on inspiring projects. Autodesk encourages authenticity, inclusivity, and continuous learning, ensuring that everyone feels valued and empowered to contribute to the company's mission of building a better future.

Autodesk actively supports the professional development of AI Research Scientists through various initiatives. Employees are encouraged to pursue research that aligns with their interests while receiving support to publish their work in top conferences and journals. Additionally, Autodesk provides access to training resources, mentorship opportunities, and a collaborative work environment that promotes mutual learning and growth across disciplines.

In answering this question, reflect on specific machine learning techniques you've employed in your projects, such as supervised or unsupervised learning. Discuss any particular frameworks like PyTorch or TensorFlow that you've used, along with examples that highlight your ability to apply theoretical knowledge to practical challenges.

You might mention subscribing to leading AI journals, attending conferences, and participating in workshops to stay up-to-date. Emphasize your proactive efforts to read recent publications, engage with the research community, and continually seek knowledge that could enhance your work as an AI Research Scientist at Autodesk.

Select a project where you played a crucial role. Discuss the problem you aimed to solve, the methodologies you utilized, and the results achieved. Highlight any publications resulting from this project and how it contributed to your growth and the field of AI overall.

Focus on a specific challenge that required creative problem-solving. Discuss your analytical approach, the data or methodologies you analyzed, and the collaborative efforts you made with teammates. This demonstrates your ability to navigate obstacles effectively, a critical skill for an AI Research Scientist.

Examine your knowledge of generative models like GANs or VAEs. Provide insights into any projects where you applied these models successfully, illustrating your depth of understanding. Connect this expertise to Autodesk’s focus areas to align your skills with the company’s research goals.

Discuss your methods for prioritization, such as using project management tools, establishing clear milestones, and communicating effectively with your team. This question assesses your organization and time management skills, both essential in a fast-paced research environment like Autodesk.

Share your motivational drivers, focusing on the possibilities of AI to impact society positively. Discuss any personal experiences that fostered your interest, connecting them to Autodesk’s mission of creating a better world through innovation.

Provide specific examples that showcase your collaborative skills, emphasizing communication, teamwork, and co-solving challenges. Align your experiences with the collaborative culture at Autodesk Research, highlighting that you're a team player.

Express clear, innovative thoughts on AI's potential in streamlining processes, enhancing creativity, and ensuring sustainability in design and manufacturing. Relate your vision to Autodesk's objectives and how as an AI Research Scientist, you could contribute to realizing this impact.

Discuss specific metrics or methods used, such as accuracy, precision, recall, or AUC-ROC curves, tailored to the context of your models. Show a clear understanding of why performance evaluation is critical and how it leads to continuous improvement in research outcomes.