Machine Learning Engineer Intern; Lead Ads - Summer; BS​/MS

Location:

San Jose

Employment Type:

Intern

Job Code: A211673

• Participate in the development of a large‑scale Ads system
• Responsible for relevance model and strategy optimization, such as semantic matching models, active learning, text/photo/video multi‑model, ranking strategy, etc
• Participate in the development and iteration of Ads algorithms by using Machine Learning
• Work on NLP (Natural Language Processing) capability improvement and query understanding, such as query classification, seq2seq, NER (Named Entity Recognition), knowledge graph, bidword optimization, etc
• Work on CTR/CVR model estimation accuracy, data analysis, modeling, feature engineering
• Research and develop Ads pacing algorithms, ads traffic control, etc
• Partner with product managers and product strategy & operation team to define product strategy and features

Minimum Qualifications:

• Currently pursuing BS/MS degree in Computer Science, Computer Engineering, or other relevant majors, with related work experience
• Solid programming skills, including but not limited to Go, C/C++, Python. Familiar with basic data structure and algorithms. Familiar with Linux development environment
• Good analytical thinking capability. Have essential knowledge and skills in statistics
• Good theoretical grounding in the machine and deep learning concepts and techniques (CNN/RNN/LSTM, etc.)
• Familiar with the architecture and implementation of at least one mainstream machine learning programming framework (Tensor Flow/PyTorch/MXNet), familiar with its architecture and implementation mechanism
• Must be able to commit to a 12‑week full‑time work period during Summer or Fall 2026

Preferred Qualifications:

• Experience with Ads system, recommendation, searching, ranking, etc

The hourly rate range for this position in the selected city is $45- $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.

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

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:

• Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
• Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
• Exercising sound judgment.