AI/ML Software Engineering Intern, Search

As an AI/ML Software Engineering Intern at Censys, your primary responsibilities will include working on machine learning and automation projects that enhance our search capabilities. You’ll focus on tasks like improving AI-driven suggestions to enhance user experience, developing anomaly detection systems to prioritize customer events, and leveraging intelligent recommendations tailored to datasets. This role allows you to contribute to impactful real-world projects while collaborating with a dynamic engineering team.

To apply for the AI/ML Software Engineering Intern position at Censys, you should ideally be pursuing a degree in Computer Science, Engineering, or a related field with a focus on AI/ML. Experience in programming languages such as Python or Java, along with familiarity with machine learning frameworks, will be essential for success. However, we value diverse experiences, so don’t hesitate to apply if you’re passionate about the role but may not meet every qualification.

The expected pay rate for the AI/ML Software Engineering Intern position at Censys is $35 per hour USD. Additionally, a monthly housing stipend will be offered for those who are non-local to Ann Arbor, Michigan, making it an attractive opportunity for students eager to gain valuable experience in a cutting-edge cybersecurity environment.

As an intern at Censys, you can expect to engage in intriguing projects that focus on enhancing our product through AI and machine learning. You may work on improving anomaly detection systems, developing AI-driven recommendations for searches, or even pitching your innovative ideas for integration. Each project is designed to connect you with real-world applications in the cybersecurity landscape while contributing significantly to our goals.

To make a strong impression in your internship application for the AI/ML Software Engineering Intern position at Censys, tailor your resume to highlight relevant experiences in AI and programming. Include any personal projects or coursework that demonstrates your technical skills. Additionally, conveying your enthusiasm for the role and willingness to contribute to and learn from the company’s mission will help you stand out among applicants.

When answering this question, focus on your passion for how AI and machine learning can drive real-world solutions, especially in cybersecurity. Discuss specific applications or trends that excite you, and connect them to your desire to contribute to projects at Censys.

Be prepared to explain a project where you applied machine learning principles. Discuss the problem you aimed to solve, the methods you used, and the results. Highlight your learning experience and any valuable insights gained from the project.

Showcase your systematic approach to problem-solving. Explain how you would gather information, analyze data, test solutions, and reflect on what you learned. Include any examples from past experiences where you overcame technical challenges.

Be specific about the programming languages you excel in, ideally those relevant to the internship like Python or Java. Discuss any related projects or coursework that demonstrate your proficiency and comfort level with these languages.

Discuss the importance of effective time management and prioritization. You can mention methods you use such as to-do lists, deadlines, and communication with teammates to ensure project milestones are met. Providing a personal example will strengthen your answer.

Share details about any relevant coursework, internships, or projects that involved data analysis. Highlight your familiarity with tools and techniques for data processing and visualization, showcasing how you've applied these skills in real situations.

Demonstrate your communication skills by giving an example of a complex concept you’ve explained in the past. Focus on your ability to break down jargon into relatable terms, emphasizing the importance of understanding the audience's knowledge base.

Express your appreciation for collaboration and teamwork in software development. Discuss how working with others leads to diverse ideas, faster problem resolution, and overall project success. You might reference a project where teamwork was essential.

Provide insights into current trends and challenges in cybersecurity, such as data breaches or emerging threats. Showing your awareness of the landscape emphasizes your engagement with the industry and your motivation to contribute to Censys' mission.

Highlight your admiration for Censys’ mission and how it aligns with your career aspirations. Discuss what you hope to learn from the internship, and express enthusiasm for contributing to innovative projects in their AI-focused environment.