Machine Learning Engineer Intern (E-Commerce Knowledge Graph) - 2027 Start (PhD) San Jose PhD Intern - 2027 Start

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 68,000 - 97,000; Full time

Benefits offered by this job

Health insurance

Life insurance

Wellbeing benefits

Housing allowance

10 paid holidays per year

Job summary

TikTok is seeking PhD internship candidates for the Knowledge Graph team in San Jose to contribute to neural network research for e-commerce. You will help categorize products, influencers, merchants, and mine product information to support recommendations, while leading graph- and tag-related tasks.

Qualifying candidates are PhD students in related fields with experience in LLM/NLP, graph embeddings, ML, and Python/PyTorch/TensorFlow.

Qualifications

• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering or related discipline.
• Experience in LLM, NLP, NER, MT, QA, knowledge graph, information extraction, text mining or classification.
• Computer vision, facial recognition, multimodal learning, object detection/tracking, image classification.
• Machine learning topics including transfer learning, graph embedding, RL, recommendation.
• Strong coding in Python/Java/C/C++, Spark; familiar with PyTorch or TensorFlow/Keras.

Responsibilities

• Craft intricate knowledge graphs for product/content insights and brand/SPU development.
• Architect knowledge maps detailing buyer and product connections.
• Collaborate with cross-functional teams on research and development.

Skills

PhD in CS/Software

LLM

NLP

NER

Machine translation

Knowledge graph

Classification

Python/Java/C/C++

PyTorch

TensorFlow

Spark

Hadoop

Flask/Django

Education

PhD in Software Development / CS

Tools

Spark

Hadoop

Hive

Flink

Python

PyTorch

TensorFlow

Job description

Location:

San Jose

Employment Type:

Intern

Job Code:

A79027

Responsibilities

The Knowledge Graph team is responsible for the neural network of e-commerce, which includes tasks such as categorizing products, influencers, and merchants, mining product information, and providing this data to the recommendation team. Additionally, they manage operations related to product tags and category attributes. When we come across a product, they determine whether it belongs to the clothing or sports category, who thie product will be suitable for, etc. Furthermore, the team conducts competitive research, identifying top-performing items on the platform and analyzing why one similar product outperforms others. They are also involved in brand recognition. This team plays a pivotal role, in bridging various aspects of our business and maintaining close collaboration with other teams. We are looking for talented individuals to join us for an internship. PhD internships at Our Company provide students with the opportunity to actively contribute to our products and research, as well as to the organization's future plans and emerging technologies. Our dynamic internship experience blends hands-on learning, enriching community-building and professional development events, and collaboration with industry experts.

• Craft intricate knowledge graphs, encompassing areas like product/content insights and category/brand/SPU development.
• Architect knowledge maps detailing buyer and product connections.

Qualifications

Minimum Qualifications:

• Currently pursuing a PhD in Software Development, Computer Science, Computer Engineering or a related discipline.
• Experience in at least one of the technological areas: LLM, natural language generation, named entity recognition, machine translation, question answering, knowledge graph, information extraction, text mining and classification etc.
• Computer vision, facial recognition, multimodal learning, object detection & tracking, image classification etc.
• Machine learning, transfer learning, graph embedding, representative learning, large-scale optimization, recommendation, reinforcement learning, etc.
• Strong coding skills in at least one of the following programming frameworks, e.g. Python, Java, C/C++, Spark etc.; Familiar with at least one of the following deep learning frameworks, e.g., PyTorch, TensorFlow, Keras etc.
• Strong analytical and problem-solving skills.

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.
• Work experience in e-commerce or the Internet industry is preferred.

Job Information

The hourly rate range for this position in the selected city is $60- $60.

Benefits may vary depending on the nature of employment and the country work location. Interns have day one access to health insurance, life insurance, wellbeing benefits and more. Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year). Interns who are not working 100% remote may also be eligible for housing allowance.

• Interns have day one access to health insurance, life insurance, wellbeing benefits and more.
• Interns also receive 10 paid holidays per year and paid sick time (56 hours if hired in first half of year, 40 if hired in second half of year).
• Interns who are not working 100% remote may also be eligible for housing allowance.

The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

For Los Angeles County (unincorporated) Candidates:

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:

1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;

2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and

3. Exercising sound judgment.

About TikTok

TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.

Why Join Us

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.

TikTok Accommodation

TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at https://tinyurl.com/RA-request

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