Tik Tok

Machine Learning Engineer Graduate (Global E-commerce Recommendation/Search)

Tik Tok

San Jose, CA, USA
Full-TimeDepends on ExperienceSenior LevelMasters
Job Description

Welcome to Tik Tok! We are a global e-commerce platform that connects millions of users with their favorite products and brands. As a Machine Learning Engineer Graduate, you will play a crucial role in our recommendation and search systems, ensuring that our users have the best possible experience while shopping on our platform. We are looking for a talented and driven individual who is passionate about using machine learning to improve the way people shop online. If you have a strong background in data science, a keen eye for detail, and a desire to constantly learn and improve, we would love to hear from you. Join us as we revolutionize the world of e-commerce through cutting-edge machine learning technology.

  1. Develop and implement machine learning algorithms and models to improve our recommendation and search systems.
  2. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
  3. Conduct thorough data analysis and testing to ensure accuracy and effectiveness of the machine learning systems.
  4. Continuously monitor and optimize the performance of the recommendation and search systems.
  5. Stay updated on the latest advancements and developments in the field of machine learning, and apply them to enhance our platform.
  6. Work closely with product and engineering teams to integrate machine learning features and capabilities into our platform.
  7. Identify and troubleshoot any issues or bugs with the machine learning systems, and provide timely solutions.
  8. Communicate complex technical concepts and findings to non-technical stakeholders in a clear and concise manner.
  9. Contribute to the development and maintenance of data infrastructure and pipelines.
  10. Participate in code reviews and provide feedback to team members to ensure high-quality and efficient code.
  11. Mentor and support junior team members in their learning and development of machine learning skills.
  12. Adhere to data privacy and security protocols while handling sensitive user data.
  13. Continuously evaluate and improve the user experience on our platform through machine learning techniques.
  14. Collaborate with data scientists, engineers, and product managers to develop innovative solutions and features for our users.
  15. Proactively identify areas for improvement and make recommendations to enhance the machine learning systems.
Where is this job?
This job is located at San Jose, CA, USA
Job Qualifications
  • Bachelor's Or Master's Degree In Computer Science, Data Science, Or A Related Field.

  • Strong Background In Machine Learning, Deep Learning, And Natural Language Processing.

  • Experience With Large-Scale Data Processing And Modeling, Preferably In The E-Commerce Or Recommendation/Search Industry.

  • Proficiency In Programming Languages Such As Python, R, And Java, As Well As Experience Working With Big Data Tools Such As Hadoop, Spark, And Tensorflow.

  • Strong Problem-Solving And Analytical Skills, With The Ability To Apply Machine Learning Techniques To Solve Real-World Business Problems.

Required Skills
  • Data Analysis

  • Deep Learning

  • A/B testing

  • Computer Vision

  • Data Visualization

  • Cloud Computing

  • Natural language processing

  • Algorithm development

  • Statistical modeling

  • Big data processing

  • Machine Learning techniques

Soft Skills
  • Communication

  • Conflict Resolution

  • Customer Service

  • Leadership

  • Time management

  • creativity

  • Attention to detail

  • Teamwork

  • Adaptability

  • Problem-Solving

Compensation

According to JobzMall, the average salary range for a Machine Learning Engineer Graduate (Global E-commerce Recommendation/Search) in San Jose, CA, USA is between $130,000 to $190,000 per year. This salary range can vary depending on factors such as experience, skills, and the specific company and location.

Additional Information
Tik Tok is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Required LanguagesEnglish
Job PostedApril 21st, 2026
Apply BeforeMay 21st, 2026
This job posting is from a verified source. 

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About Tik Tok

TikTok, also known as Douyin in China, is a media app for creating and sharing short videos. Owned by ByteDance, the media app was launched as Douyin in China in September 2016 and introduced to the overseas market as TikTok one year later.

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