Manoj Tumu has left Amazon for Meta
In a move that underscores the fierce competition for top talent in the artificial intelligence sector, 23-year-old Indian-American machine learning engineer Manoj Tumu has left a lucrative position at Amazon for an even more rewarding role at Meta. Tumu’s journey highlights a strategic career path and offers a blueprint for aspiring tech professionals aiming to break into the elite echelons of AI and Machine Learning (ML).
Manoj Tumu departed an annual package of ₹3.36 crore at Amazon to accept a new role at Meta with a compensation package exceeding $400,000. This career change is a powerful indicator of the soaring demand for specialized AI skills, with tech giants like Google, Microsoft, Amazon, and Meta constantly seeking experts to drive their innovation.
A Strategy for Success
Interestingly, Manoj Tumu’s own path was unconventional. After missing out on internships, he secured a contract role post-graduation. He also made a crucial early-career decision to choose a machine learning role that was initially lower-paying over a traditional software engineering position, a choice driven by his passion that ultimately unlocked doors to more significant opportunities. His job application strategy also diverged from the common reliance on referrals; he favored applying directly through company websites and LinkedIn with meticulously tailored resumes.
Cracking the Code of a Tech Interview
Tumu’s success wasn’t just about his resume; it was about acing the interview process. He insists on the need for thorough preparation and advises candidates to customize their answers to align with a company’s specific values, citing Amazon’s leadership principles and Meta’s corporate culture as key examples he studied.
His own interview experience at Meta was a multi-stage marathon spread over six weeks, which included:
* A preliminary screening call
* Four rounds of coding assessments
* Six rounds focused on machine learning
* Behavioral assessments
This rigorous process reveals the high bar set by top tech firms and proves that dedicated preparation is non-negotiable for landing these coveted roles.
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