Join the team

scaling AI for B2B

The interview process at SuisseAI is tailored to each specific role and candidate, ensuring a comprehensive evaluation. While variations may occur, our standard procedure typically follows the structure outlined below:

Step 1

Resume

Submit your resume via our website.

Step 2

Interview based on Role

As part of our interview process at SuisseAI, we arrange a discussion between our staff and the candidate to delve into their career interests and relevant experience. This conversation serves as an opportunity for the candidate to gain deeper insights into SuisseAI as a company and its mission. Simultaneously, it enables our staff to better understand the candidate's professional aspirations and evaluate how their skills align with our organization.

Step 3

Skills Assessment

• For technical roles, you’ll have a one-hour technical screening interview to review your entry level.
• For operations or policy roles, you’ll get a take-home assignment. These typically involve writing responses to several role-relevant questions; they mayFor candidates applying for operations or policy roles at SuisseAI, a take-home assignment is typically included as part of the interview process. This assignment is designed to assess the candidate's capabilities and suitability for the role. It usually entails crafting written responses to a set of role-specific questions, occasionally necessitating external research. The time commitment for these assignments typically ranges between 2 to 5 hours, depending on the particular role. We believe this allows candidates to showcase their skills and knowledge effectively while striking a balance with their existing commitments. occasionally require some outside research. Assignments usually take between 2-5 hours, depending on the role.
• The inclusion of a take-home assignment in our interview process at SuisseAI serves multiple purposes. First and foremost, it is implemented to reduce bias and ensure that our hiring decisions are well-informed. By evaluating a candidate's actual work, we gain valuable insights into their potential performance on the job. Simultaneously, the assignment offers candidates a clearer understanding of the nature of work they can expect at SuisseAI. We believe that a candidate's engagement and satisfaction while working on the take-home assignment can serve as an indicator of their suitability for the role. If a candidate demonstrates enthusiasm and enjoys tackling the assignment, it suggests a potential alignment with the responsibilities and challenges of the position. Similarly, if a candidate finds the assignment unappealing or unengaging, it may indicate a mismatch between their interests and the role itself. Overall, the inclusion of a take-home assignment benefits both the candidate and SuisseAI by facilitating a more accurate assessment of skills, work style, and potential job satisfaction.
• At SuisseAI, we understand and acknowledge that completing work assignments demands time and effort, and we recognize that these assignments may not perfectly mirror the actual responsibilities of the role. Nevertheless, we firmly believe that work tests serve as a valuable complement to interviews and reference checks.

Step 4

Team Screen

You'll have a conversation with either the Hiring Manager or a member of your potential team.

Step 5

Interview Panel

• For technical roles, you’ll have 3-4 more one-hour technical interviews, plus a culture interview.
• For operations or policy roles, you’ll have 3-5 hours of interviews, including a culture interview.

Step 6

Final Checks

We’ll ask for some references, and have you chat with our leadership.

Step 7

Offer

We’ll make you an offer!

Technical interviews at SuisseAI are broadly categorized into ‘engineering’ or ‘research’ interviews, and each candidate is given a mix tailored to their skillset.

Engineering interviews are carried out in a shared Python coding environment! like Google Colab. Frontend engineering interviews are in JavaScript. They have the form:
Here’s a description of a component from our stack. Could you re-implement a toy version of it for me in one hour?

These components are ‘chunkier’ than the more common Leet Code problems, and are intended to mimic the day-to-day of engineering at SuisseAI.

We are particularly interested in your thought process and how you attack the problem. You’ll be allowed to look things up with Google, but it’s still important to be familiar with Python syntax and the standard library. We primarily code in Python, and a common reason candidates fail interviews is that they're not fully comfortable in Python.

Only one of our engineering interviews touches on machine learning topics, and you can ask to pass on that one if you wish. You do not need to learn anything about machine learning before interviewing as an engineer at SuisseAI.

Research interviews are broader in form. They’ll include some engineering interviews, and some discussions about the kinds of systems we study.

Both the research and engineering interview process also include softer questions about your experience and motivations, and time to ask us about SuisseAI.