Indian-American Tech Expert Shares Tips for Landing a Lucrative Job at Meta

Indian-American tech engineer Manoj Tumu, 23, has joined Meta as a machine learning software engineer with a total compensation package of over $400,000. He advises students to focus on internships, highlight real-world experience on resumes, and prepare for behavioral interviews by studying company values and tailoring answers accordingly. Tumu chose machine learning over traditional software engineering despite lower pay, which led to better opportunities, including his current role at Meta's advertising research team. The field of AI has shifted from classical techniques to deep learning, and Tumu notes that deep learning taps into artificial neural networks to automatically learn features.

Indian-American machine learning engineer Manoj Tumu, 23, has joined Meta as a machine learning software engineer with a total compensation package of over $400,000. Tumu left his previous role at Amazon to accept this offer, highlighting the competitive nature of the AI field and the allure of Meta's projects [1].

Tumu's journey underscores the importance of gaining experience early in one's career. He completed his master's degree in 2022 and began working at Amazon as a machine learning software engineer before transitioning to Meta. His decision to focus on machine learning, despite the lower pay, opened doors for him. Tumu advises students to prioritize internships and real-world experience, which can be more impactful than projects on a resume [2].

The shift in the AI field from classical techniques to deep learning is another critical factor. Deep learning, which utilizes artificial neural networks to automatically learn features from raw data, has become the standard. This shift has led to increased investment in AI systems by non-tech companies [1].

Tumu's advice to prepare for behavioral interviews by studying company values and tailoring answers accordingly is particularly insightful. He went through six rounds of interviews at Amazon, including coding, machine learning, and behavioral questions, and found this preparation invaluable [2].

In conclusion, Manoj Tumu's career trajectory at Meta underscores the importance of gaining experience, focusing on the right skills, and preparing thoroughly for interviews. His story offers valuable insights for students and professionals aspiring to break into the competitive AI field.

References:
[1] https://www.businessinsider.com/quit-amazon-took-meta-ai-offer-how-to-land-job-2025-8
[2] https://www.livemint.com/news/trends/indianamerican-techie-23-quit-amazon-for-3-6-crore-meta-offer-heres-how-he-got-the-job-11756457710272.html