Machine Learning Engineer, Recommendation Review

by TikTok

Rating

4.6/5
  • Skills
    4.5
  • Responsibilities
    4.0
  • Support & Guidance
    5.0
  • Culture
    4.5
  • Your Impressions
    4.7

    Overview

  • 1. Please give an overview of your role and what this involves on a day-to-day basis.
  • I worked within the video recommendation team, focusing on improving existing machine learning models, running experiments to assess impacts on user metrics, and engineering work (for example, to develop new features).


    Skills

  • 2. Have you learnt any new skills, or developed your existing skills?
  • I've developed a lot of technical skills that relate to working with and developing deep recommendation models, as well as understanding how machine learning models are deployed in industry.


  • How would you rate the training provided during your experience?
  • 5/5

  • How would you rate your development of industry-specific skills during the experience?
  • 5/5

  • How would you rate your development of personal / soft skills during the experience?
  • 3/5

  • Please rate how these skills have helped you in your career development
  • 5/5

    Responsibilities

  • 3. Were you given much responsibility during your placement / internship?
  • I was given ownership and responsibility over my own project, as well as given the freedom to explore various ways to improve existing models and directly interact with production code.


  • Please rate how meaningful the work you were doing was
  • 4/5

    Support & Guidance

  • 4. How much support and guidance did you receive during your placement / internship?
  • Everyone on the team is happy to respond to any questions I have very quickly - I never found myself lacking support and guidance on my work.


  • How would you rate the support and guidance from your line manager?
  • 5/5

  • How would you rate the support and guidance from the wider team?
  • 5/5

    Culture

  • 5. What was the company culture and general atmosphere like?
  • The team culture in the London office is quite relaxed, with a good amount of freedom to work in the way that allows you to contribute best. Our team was quite sociable and the general atmosphere is very friendly.


  • How would you rate the inclusiveness of the culture?
  • 5/5

  • How would you rate the social opportunities?
  • 5/5

  • How would you rate the diversity initiatives?
  • 4/5

  • How would you rate the charity, sustainability and corporate social responsibility (CSR) initiatives?
  • 4/5

    Your Impressions

  • 6. To what extent did you enjoy your placement / internship?
  • I enjoyed my internship quite a bit more than I was expecting, with the general work environment, socials, and benefits being a huge bonus on top of the development of my technical skills.


  • Please rate your level of enjoyment on your placement / internship
  • 5/5

  • Please rate how your experience met your expectations
  • 5/5

  • Please rate the future employment prospects at TikTok
  • 4/5

  • 7. Would you recommend TikTok to a friend?
  • Yes


  • 8. What advice would you give to others applying to TikTok
  • I would recommend focusing on preparing for the interview as that accounts for the majority of the recruiting assessment. Have a look into what skills and knowledge you might be expected to know for the role and enter the interview prepared.


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Details

Internship (1 Month+)

Data Science

London

September 2024


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