Machine Learning Engineer-TikTok Product Foundation Experience

Company:  TikTok
Location: San Jose
Closing Date: 21/10/2024
Salary: £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

Responsibilities

TikTok is the leading destination for short-form mobile video. Our mission is to inspire creativity and bring joy. TikTok has global offices including Los Angeles, New York, London, Paris, Berlin, Dubai, Singapore, Jakarta, Seoul, and Tokyo.

About the Team
The Experience team is responsible for optimizing app experience related to performance for TikTok users. This team collaborates with all teams in the video creation and consumption ecosystem to provide end-to-end optimization solutions, including client, shooting, uploading, video playback, video delivery, and player.

Responsibilities:

  1. Apply state-of-the-art machine learning and deep learning technologies to analyze the app experience of TikTok users and develop algorithms to provide the best experiences.
  2. Work with large datasets, understand user preferences, identify video characteristics, and incorporate feedback loops to continuously improve user experience.
  3. Collaborate with cross-functional teams to deploy algorithm models in the product pipelines.
  4. Design experiments and A/B tests to evaluate the effectiveness of your algorithms, including metric design, data analysis, and decision-making for algorithm improvement.

Qualifications
  1. 2+ years of industry experience with a solid theoretical foundation in machine learning.
  2. A master's or PhD degree in computer science, data science, or a related field.
  3. Familiar with common learning-based algorithms, such as classification, clustering, DNN, embedding, multi-task learning, and reinforcement learning.
  4. Proficient in at least one programming language, such as Python or C++.
  5. Proficient in using any of the following open-source tools: TensorFlow, PyTorch, Scikit-Learn, Keras, Apache Spark, and Caffe.
  6. Have a passion for learning and an eagerness to experiment with new techniques, along with good communication and a cooperative spirit.

Job Information:
Compensation Description (annually)

The base salary range for this position in the selected city is $194,000 - $355,000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies, experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.

Our company benefits are designed to convey company culture and values, to create an efficient and inspiring work environment, and to support our employees to give their best in both work and life. We offer the following benefits to eligible employees:

We cover 100% premium coverage for employee medical insurance, approximately 75% premium coverage for dependents, and offer a Health Savings Account (HSA) with a company match, as well as Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, and AD&D insurance plans. In addition to Flexible Spending Account (FSA) options like Health Care, Limited Purpose, and Dependent Care.

Our time off and leave plans include: 10 paid holidays per year plus 17 days of Paid Personal Time Off (PPTO) (prorated upon hire and increased by tenure), 10 paid sick days per year, 12 weeks of paid Parental leave, and 8 weeks of paid Supplemental Disability.

We also provide generous benefits like mental and emotional health benefits through our EAP and Lyra, a 401K company match, gym, and cellphone service reimbursements. The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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