Engineering Intern

The Engineering Intern role at Across AI involves collaborating in the design and implementation of AI-based algorithms focused on data synthesis and agentic solutions. Interns will also engage in benchmarking and evaluating various solutions and their respective pipelines, while producing high-quality reusable code primarily in Python.

To qualify for the Engineering Intern position at Across AI, candidates should be currently enrolled in or have recently graduated from a computer science program (undergraduate, Masters, or PhD) with a focus relevant to the role. Experience in developing machine learning or AI-based solutions, as well as proficiency in Python (with Go as a plus), is essential.

As an Engineering Intern at Across AI, you will work on various projects related to AI algorithm design and implementation. This includes tasks such as benchmarking different AI solutions, enhancing existing processes, and contributing to the development of innovative sales enhancements through data-driven methodologies.

The Engineering Intern position at Across AI is set for a duration of 12 weeks during the summer of 2025. The timing for the internship is flexible and can be arranged between May 1 and September 30, allowing interns to find the best fit for their summer schedules.

Engineering Interns at Across AI are considered strong candidates for future part-time or full-time engineering roles within the company. The internship experience is designed to allow interns to showcase their skills and potential, making a lasting impression for possible future employment.

When answering this question, highlight specific projects where you implemented AI or machine learning techniques, detailing the challenges faced and how you overcame them. Emphasize your technical role in these projects and any programming languages or frameworks you used.

In your response, explain your methodical approach to debugging. Mention tools or techniques you use, such as print statements, debugging tools, or systematic processes to trace and resolve errors, while highlighting the importance of maintaining code quality.

Detail your proficiency in languages such as Python and other relevant languages. Provide examples of projects where you’ve successfully utilized these languages, showcasing your ability to adapt to different programming environments.

Share a specific instance where you collaborated effectively with team members on a project. Mention communication strategies you used, how you contributed to group dynamics, and the positive outcomes of your teamwork.

Convey your enthusiasm for joining Across AI by discussing the company's mission to revolutionize sales processes using AI. Talk about your interests in AI development and how they align with the company’s goals, demonstrating your passion for the field.

Discuss a specific instance where you were challenged to learn a new technology or framework under a tight deadline. Outline the steps you took to get up to speed quickly, emphasizing your resourcefulness and adaptability in learning.

Describe your approach to task prioritization, possibly using techniques like the Eisenhower Matrix or agile methodologies. Illustrate this with examples of how effective prioritization led to successful outcomes in previous projects.

Share your short-term and long-term career aspirations, linking them to the Engineering Intern role at Across AI. Highlight your commitment to continuous learning and how you envision your career evolving in the AI space.

Discuss techniques you implement to maintain high code quality, such as code reviews, unit testing, and adhering to best practices. Illustrate your understanding of technical debt and the importance of clean, maintainable code.

In addressing this question, reflect on potential challenges such as working with complex algorithms or collaborating in a fast-paced environment. Share your strategies for overcoming such challenges, emphasizing your problem-solving abilities and readiness to learn.