Research Engineer: Ads Core ML & Ranking

TikTok Inc.; San Jose (CA); On-site; USD 162,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) match

Parental leave

Disability coverage

Life insurance

Wellbeing benefits

Paid holidays

Paid sick days

Paid personal time

Job summary

TikTok Inc. is seeking a Research Engineer to join the Ads Core ML Ranking team in California. You will work on ML/RL/LLM based ranking models to maximize delivery efficiency and revenue, collaborating with product and business teams across the globe.

Ideal candidates hold a CS/Math degree, are proficient in C/C++ and Python, and have experience with TensorFlow or PyTorch, Hadoop, and Spark. Strong problem solving and curiosity about new tech are essential.

Qualifications

• BS/MS in Computer Science, Statistics, Operation Research, Applied Mathematics, Physics or similar quantitative fields/with related experience.
• Research/industry experience in ML, DL, statistical models or applied math methods.
• Solid programming skills in C/C++ and Python; knowledge of data structures and algorithms.
• Familiar with ML frameworks (TensorFlow/PyTorch/MXNet).
• Familiarity with online experimentation and analytics; big data systems including Hadoop and Spark.
• Curiosity about learning and applying new technologies.

Responsibilities

• Optimize efficiency across the entire advertising funnel (Recall/Rough-sort, Fine-sort, CTR/CVR).
• Research and develop global advanced advertising delivery systems using ML/DL/RL/LLM.
• Design and set up system framework and standards to improve efficiency and meet business needs.
• Collaborate with product and business teams globally.

Skills

C/C++

Python

Online experimentation

Machine learning

Deep learning

Education

BS/MS in CS/Statistics/OR Applied Math

Tools

TensorFlow

PyTorch

MXNet

Hadoop

Spark

Job description

TikTok Inc. is seeking a Research Engineer to join the Ads Core ML Ranking team in California. You will work on ML/RL/LLM based ranking models to maximize delivery efficiency and revenue, collaborating with product and business teams across the globe.

Ideal candidates hold a CS/Math degree, are proficient in C/C++ and Python, and have experience with TensorFlow or PyTorch, Hadoop, and Spark. Strong problem solving and curiosity about new tech are essential.