Research Scientist/Engineer

As a Research Scientist/Engineer at ServiceNow, you'll dive into the back-end and AI facets of complex solutions with a focus on Automatic Language Processing (NLP). This involves architecture, development, testing, and operational maintenance of tools and solutions. You'll also contribute to designing user-friendly APIs and microservices, ensuring they are scalable and efficient.

To qualify for the Research Scientist/Engineer role at ServiceNow, candidates should have at least 2 years of experience working on AI projects related to automatic language processing. Proficiency in programming languages such as Python and familiarity with libraries like TensorFlow and Theano are essential. Additionally, experience with Docker, Kubernetes, and automation tools is highly beneficial.

For the Research Scientist/Engineer position at ServiceNow, knowledge of Python is crucial, along with experience using scientific programming libraries such as TensorFlow, Theano, NumPy, and R. Familiarity with version control tools like Git, continuous integration practices, and container orchestration tools like Docker and Kubernetes will also be beneficial.

At ServiceNow, we encourage continuous learning and development through a dynamic work environment. Research Scientist/Engineer employees have access to resources and training opportunities to deepen their expertise in AI and NLP technologies. We promote a culture of feedback and collaboration that fosters professional growth.

The work environment at ServiceNow for Research Scientist/Engineer roles embraces flexibility, trust, and innovation. We categorize employees based on their tasks, allowing for remote, in-office, or flexible work arrangements. This approach enhances teamwork and creativity, making it a great place to grow your career.

Absolutely! Collaboration is a key component of the Research Scientist/Engineer position at ServiceNow. You'll work alongside a team of talented professionals, sharing ideas and developing solutions that leverage AI technologies to solve real business problems for our clients.

The application process for the Research Scientist/Engineer position at ServiceNow involves submitting your resume and possibly a cover letter. Selected candidates will go through an interview process focusing on your technical skills and cultural fit within our team. We're looking for individuals who share our passion for innovation and collaboration.

During your interview, outline specific projects where you utilized NLP technology. Discuss tools and approaches you used, as well as the outcomes of those projects, to show your depth of experience and ability to contribute to ServiceNow's goals.

Explain your problem-solving approach clearly. Discuss how you define the problem, gather requirements, explore technology options, and implement solutions. Use an example of a past project to illustrate your methodology.

Discuss how continuous integration helps you maintain high-quality code and the benefits of automated testing. Reference specific tools or platforms you've used, and how they've improved your workflow.

Talk about your hands-on experience in designing and implementing APIs and microservices in previous roles. Highlight any challenges you faced and how you overcame them, as well as the impact your work had on the project.

Share your preferred programming languages, like Python, and explain why they are effective for AI projects. Discuss specific libraries and frameworks you're comfortable with, emphasizing your practical experience.

Mention sources such as online courses, tech meetups, or relevant journals you follow to keep your skills sharp. Share a recent trend you’ve explored and how you might apply it at ServiceNow.

Share an experience where you worked with a diverse team, including individuals from different technical backgrounds. Discuss how varying perspectives enhanced the project outcome and what you learned from the collaboration.

Explain your understanding of DevOps, emphasizing collaboration between development and operations teams. Discuss how this culture leads to faster delivery and better quality software, using examples from your experience.

Talk about how you assess new technologies based on factors such as scalability, community support, and alignment with business needs. Provide an example of how you made a technology choice in a past project.

Share your aspirations, including learning new technologies, taking on leadership roles, or contributing to groundbreaking projects. Emphasize your desire to grow within ServiceNow and contribute to its mission.