TikTok
Seattle, WA
Machine Learning Engineer Graduate (E-Commerce Knowledge Graph) - 2027 Start
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- Location
- Seattle, WA
- Work type
- Onsite
- Compensation
- $122,000 - $243,000/yr
- Visa
- Sponsorship available
- Posted
- today
- Apply on
- lifeattiktok.com
About this role
TikTok is a short-form mobile video platform focused on inspiring creativity and bringing joy. The Machine Learning Engineer Graduate will build and develop large-scale e-commerce knowledge graphs to support feed ranking, recommendations, and advertising, while collaborating with product managers, data scientists, and product operations teams on product strategies and features.
What you'll do:
- 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 our dedicated product managers, astute data scientists, and the strategic product & operation team to craft forward-thinking product strategies and features
- Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development
- Architect knowledge maps detailing buyer and product connections
What they're looking for:
- Individuals who are completing or have recently completed a Bachelor's degree in Software Development, Computer Science, Computer Engineering or a related discipline
- Passion or exposure to areas like 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
- Individuals who are completing or have recently completed a Master's degree in Software Development, Computer Science, Computer Engineering or a related discipline
- 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
- Any hands-on experience or group projects in relevant technical scenarios
Benefits:
- Additional discretionary bonuses/incentives
- Restricted stock units
- Day one access to medical, dental, and vision insurance
- A 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
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