Data Scientist - Applied AI at TikTok
San Jose, California, USA -
Full Time


Start Date

Immediate

Expiry Date

14 Jun, 25

Salary

0.0

Posted On

14 Mar, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Hive, Statistics, Computer Science, Presto, Model Development, Spark, Communication Skills, Git, Humility, Sql, Unsupervised Learning, Cloud Services, Software Development, Fine Tuning, Python, Testing, Creativity

Industry

Information Technology/IT

Description

MINIMUM QUALIFICATIONS:

  1. In-depth knowledge of computer science and the mathematical fundamentals of statistics, machine learning, and analytics;
  2. At least 3 years of experience in software development or model/data development, with hands-on experience in applying LLM technologies (such as Test Time Scaling, Chain of Thought, Retrieval Augmented Generation, Supervised Fine-Tuning) to solve business problems;
  3. Strong experience with unsupervised learning, clustering algorithms, and extracting data insights, recognizing patterns, and developing models;
  4. Proficiency in Python and SQL, with experience in ML/DL frameworks like TensorFlow, PyTorch;

PREFERRED QUALIFICATIONS:

  1. Expertise in SQL, Hive, Presto, or Spark, and experience with large-scale datasets;
  2. Solid understanding of building data pipelines, model development, testing, and deployment;
  3. Experience with CI/CD (such as git) and cloud services (such as AWS/GCP/Azure) is a plus;
  4. Strong English communication skills, with the ability to clearly explain technical and analytical content to both technical and non-technical teams;
  5. A strong intellectual curiosity, excellent problem-solving and quantitative analysis skills, with the ability to deconstruct issues, identify root causes, and propose solutions.
    Job Information
    Inspiring creativity is at the core of TikTok’s mission. Our innovative product is built to help people authentically express themselves, discover and connect – and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.

    We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We’re resilient and embrace challenges as they come. By constantly iterating and fostering an “Always Day 1” mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.


    Diversity & Inclusion

    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
Responsibilities

ABOUT THE ROLE:

We are looking for an AI/ML technical expert, focusing on the application of multimodal LLMs, unsupervised learning, and clustering algorithms. The candidate will work closely with product, operations, policy, and engineering teams to leverage advanced natural language processing, computer vision, and deep learning technologies to solve business problems and extract data insights.

WHAT YOU’LL DO:

  1. Leverage multimodal large language models, natural language processing, machine learning, or computer vision techniques to design and build core product capabilities, extract insights, and optimize monetization strategies;
  2. Develop innovative algorithms and build prototypes for business problems using the latest deep learning, machine learning, statistical, and optimization techniques;
  3. Use unsupervised learning and clustering algorithms to discover potential patterns and trends from large datasets and propose data-driven business solutions;
  4. Collaborate with product managers and cross-functional teams to define user stories and success metrics, managing data projects from 0 to 1;
  5. Use methods like AB testing to validate the business value and expected revenue of projects and continuously optimize model performance;
  6. Work with engineering teams to deploy data models and scale solutions.
    Qualifications
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