I landed a job at Snap after guessing the recruiter's email address. Here's my advice for other recent graduates looking for tech roles.

Core Insights - The article discusses the journey of a machine learning engineer transitioning from finance to tech, highlighting the challenges faced during the job search process and the importance of networking and support from peers [1][9]. Group 1: Job Market Challenges - The tech industry faced significant layoffs in late 2022, creating uncertainty for new graduates seeking employment [2]. - The individual lacked tech internships, having previously interned in finance, which added to the difficulty of finding a tech role [3]. Group 2: Networking and Support - A close circle of friends provided mutual support during the job search, sharing contacts and information about recruiters [7][8]. - The individual leveraged personal connections, obtaining a referral from a friend's cousin who worked at Snap Inc. [12]. Group 3: Job Application Process - The individual proactively reached out to a recruiter at Snap after not hearing back for a month, demonstrating initiative in the job application process [13][15]. - The interview process at Snap included multiple rounds, totaling about five hours in a single day, showcasing the rigorous selection process for tech roles [16]. Group 4: Career Transition Success - The individual successfully secured a software engineering role at Snap in March 2023 and began working in August 2023, transitioning to a machine learning engineer position [17]. - The smaller size of Snap compared to larger tech companies allows for greater agency and independence in project work [17]. Group 5: Advice for Job Seekers - Recommendations for job seekers include leveraging networks, connecting with recruiters, and preparing thoroughly for interviews [18][19].