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TikTok

Graduate Machine Learning Engineer (Big Data) - 2025 Start

Sydney, Australia

Responsibilities

About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and its offices include New York, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us
Creation is the core of TikTok's purpose. Our platform is built to help imaginations thrive. This is doubly true of the teams that make TikTok possible.
Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day.
To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always.

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At TikTok, we create together and grow together. That's how we drive impact - for ourselves, our company, and the communities we serve.
Join us.

About
Video Arch is one of the world's leading video platforms that provides media storage, delivery, transcoding, and streaming services. We are building the next generation video processing platform and the largest live streaming network, which provides excellent experiences for billions of users around the world. Popular video products of TikTok and its affiliates are all empowered by our cutting-edge cloud technologies. Working in this team, you will have the opportunity to tackle challenges of large-scale networks all over the world, while leveraging your expertise in coding, algorithms, complexity analysis, and large-scale system design.

About the team
Be part of TikTok's groundbreaking Data Application Team within the Video Cloud Infrastructure division, where we empower our Live CDN and ultra-edge CDN service teams to revolutionize video on demand and video streaming through data-driven insights and cutting-edge algorithms. By harnessing the vast log data generated by our CDNs, we develop intelligent tools to optimize performance, minimize costs, and enhance user experiences. As part of our lean and agile team, you'll have the opportunity to make a significant impact and shape the future of video streaming for billions of users worldwide.

We are looking for talented individuals to join us in 2025. As a graduate, you will get unparalleled opportunities for you to kickstart your career, pursue bold ideas and explore limitless growth opportunities. Co-create a future driven by your inspiration with TikTok

Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to TikTok and its affiliates' jobs globally. Applications will be reviewed on a rolling basis - we encourage you to apply early.

Responsibilities
- Identify issues in online services and provide optimization solutions by analyzing massive log data.
- Establish metrics systems and attribution paths for services, provide intelligent alerting and attribution tools to help quickly locate problems and give optimization suggestions.
- Develop and optimize machine learning models to drive cost savings and quality optimization for services, utilize big data mining and data algorithms to drive cost savings and quality optimization for services.
- Integrate data from various parties to provide globally optimal solutions.
- Establish common data capabilities and horizontally promote them to related service parties to avoid reinventing the wheel.
- Collaborate with cross-functional teams to deploy machine learning models in production environments and monitor their performance.

Qualifications

Minimum Qualifications
- Final year or recent graduate with a background in Statistics, Mathematics, Computer Science, or a related technical discipline.
- Solid understanding of machine learning concepts, algorithms.
- Familiar with statistics, linear algebra, probability theory, common data structures, and machine learning algorithms; understand the applicable scopes of different algorithms.

Preferred Qualifications
- Experience with big data processing frameworks (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP).
- Experience with algorithm-related projects in open-source communities.
- Understanding of CDN principles and experience in network quality optimization.
- Demonstrates open-mindedness, excellent communication skills, and the ability to thrive in a cross-national collaborative environment while embracing the company culture.
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TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
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In the spirit of reconciliation, TikTok acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their Elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
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By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://careers.tiktok.com/legal/privacy.

If you have any questions, please reach out to us at apac-earlycareers@tiktok.com.

#LI-Onsite

Client-provided location(s): Sydney NSW, Australia
Job ID: TikTok-7359456258078656819
Employment Type: Other

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • HSA
    • Life Insurance
    • Fitness Subsidies
    • Short-Term Disability
    • Long-Term Disability
    • On-Site Gym
    • Mental Health Benefits
    • Virtual Fitness Classes
  • Parental Benefits

    • Fertility Benefits
    • Adoption Assistance Program
    • Family Support Resources
  • Work Flexibility

    • Flexible Work Hours
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • Snacks
    • Pet-friendly Office
    • Happy Hours
    • Some Meals Provided
    • Company Outings
    • On-Site Cafeteria
    • Holiday Events
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Performance Bonus
    • Company Equity
  • Professional Development

    • Promote From Within
    • Access to Online Courses
    • Leadership Training Program
    • Associate or Rotational Training Program
    • Mentor Program
  • Diversity and Inclusion

    • Diversity, Equity, and Inclusion Program
    • Employee Resource Groups (ERG)

Company Videos

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