Machine Learning Engineer Graduate (E-Commerce Knowledge Graph) - 2027 Start (PhD)

About the role

The Knowledge Graph team is responsible for the neural network of e-commerce, including categorizing products, influencers, and merchants, mining product information, and providing this data to the recommendation team. The team also manages operations related to product tags and category attributes, determines product suitability (e.g., clothing vs. sports, target audience), conducts competitive research, analyzes top-performing items, and handles brand recognition. This pivotal team bridges various aspects of the business and collaborates closely with other teams.

As a graduate, you will have opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Successful candidates must commit to an onboarding date by the end of the year.

Responsibilities

• Dive deep into the construction and development of vast knowledge graphs that encapsulate real-world products, aiding in feed ranking, recommendations, and ads.
• Collaborate closely with product managers, data scientists, and the product & operation team to craft forward-thinking product strategies and features.
• Craft intricate knowledge graphs, encompassing product/content insights and category/brand/SPU development.
• Architect knowledge maps detailing buyer and product connections.

Requirements

Minimum Qualifications

• Completion or recent completion of a PhD degree in Software Development, Computer Science, Computer Engineering, or a related discipline.
• Passion or exposure to machine learning, NLP (Natural Language Processing), multimodal systems, and computer vision.
• Familiarity with or coursework related to programming languages like C++, Python, Go, or Java.
• Strong teamwork and communication skills.
• Hands-on experience or group projects in relevant technical scenarios (a plus).

Preferred Qualifications

• Familiarity with deep learning frameworks like TensorFlow/PyTorch.
• Coursework or projects related to text classification, text matching, sequence labeling, and knowledge graphs.
• Knowledge of domain adaptation, text mining, and unsupervised/semi-supervised methodologies.
• Experience with machine learning and deep learning algorithms, and text representation methods.
• Exposure to large-scale text data processing or tools like Hadoop/Spark/Hive/Flink.

Pay

The base salary range for this position is $153,900 - $300,960 annually. Compensation may vary based on qualifications, skills, competencies, experience, and location. Base pay is part of a total package that may include discretionary bonuses/incentives and restricted stock units.

Benefits

• Day-one access to medical, dental, and vision insurance.
• 401(k) savings plan with company match.
• Paid parental leave.
• Short-term and long-term disability coverage.
• Life insurance.
• Wellbeing benefits.
• 10 paid holidays per year.
• 10 paid sick days per year.
• 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).

About the company

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

We strive to create value for our communities, inspire creativity, and foster innovation. Our culture emphasizes curiosity, humility, and impact, with every challenge viewed as an opportunity to learn and grow. We embrace an "Always Day 1" mindset, iterating constantly to achieve meaningful breakthroughs.