The interview process at Meta starts with a resume screen to assess qualifications and relevant experiences. Successful candidates are then invited to complete one or two Online Assessments (OAs), focusing on programming skills and problem-solving abilities. These steps gauge the contender's technical acumen before moving to the next phase.
Following the OAs, applicants go through one or two phone screens where they discuss past projects and solve technical problems in real-time. Candidates who excel in these rounds are invited to the onsite interviews, which consist of multiple rounds including coding, system design, and behavioral interviews. The difficulty level is generally considered high, challenging applicants with complex algorithm and design questions.
Meta's initial resume screening focuses on relevant technical skills and experience. This stage often leads to an Online Assessment (OA), testing coding and problem-solving abilities under time constraints.
Following the OA, candidates might receive a preliminary screening call. During this call, recruiters assess cultural fit and communication skills, usually within a week of the OA.
At Meta, the hiring process usually begins with a phone screen, typically one or two. These initial screenings mainly focus on assessing your coding skills and problem-solving abilities through technical questions that often involve writing code in real-time.
During these phone interviews, candidates are also asked about their previous projects and experiences to gauge their fit for the role and compatibility with Meta's culture. This stage is crucial as it sets the tone for subsequent interviews.
At Meta, the onsite rounds typically consist of four interviews, focusing on coding, system design, and behavioral aspects. Each session targets specific skills and lasts about 45 minutes, creating a comprehensive evaluation of the candidate's technical and interpersonal abilities.
The day is structured to include two coding interviews, one system design interview, and one behavioral interview. This setup provides a holistic view of the applicant’s capabilities, emphasizing problem-solving, scalability considerations, and cultural fit within the company’s ethos.
After completing all interview rounds at Meta, candidates may undergo team matching to find the best fit. Offers are then negotiated and, in some cases, finalized after meetings with executives.
When gearing up for a Meta software engineering interview, understanding the pattern distribution of coding problems can be quite illuminating. Analysis of LeetCode data reveals a strong emphasis on Depth-First Search, Breadth-First Search, and Two Pointers, highlighting a preference for problems that deal with complex tree and graph traversals and efficient array manipulation. Surprisingly, compared to other companies, Meta features fewer Dynamic Programming problems, which are generally common in tech interviews. This deviation suggests a more particular focus on ensuring candidates are well-versed in navigating through data structures effectively in real-time scenarios.
At Meta, the coding interview problems are challenging yet align with the standard set by other FAANG companies like Google. Candidates frequently face questions involving Depth-First Search, Two Pointers, and Breadth-First Search. Compared to a company like Cisco, Meta's interview questions are notably harder, demanding a robust understanding of advanced problem-solving techniques and optimal solutions. Although rigorous, they are on par with the difficulty level typical at other top tech giants within the FAANG group.
Can you describe a time when you had to adapt to a significant change in a project?
Tell me about a project you led that involved multiple stakeholders.
Describe an instance where you failed in a project and how you handled it.
Can you describe a time when you had to collaborate with a team to implement a complex feature under a tight deadline?
Tell me about a project where you and your team had differing opinions. How did you handle the situation?
Considering Meta's mission to give people the power to build community and bring the world closer together, can you describe an experience where you had to engineer a solution that addressed diverse user needs?
Can you describe a time when you had to implement a feature under a tight deadline? How did you ensure the quality of the software despite the time pressure?
Tell me about a project where you had to collaborate with multiple teams. How did you handle differing opinions or conflicts?
Meta values innovation. Can you talk about a time you pushed the boundaries of technology to solve a problem?