Brand Ads ML Engineer (PhD): Forecasting & Auctions

TikTok; San Jose, Northern (CA, KY); Hybrid; USD 190,000 - 317,000; Full time

Benefits offered by this job

Medical insurance

401(k) with company match

Paid parental leave

Disability coverage

Job summary

TikTok is hiring a Machine Learning Engineer Graduate for Brand Ads in San Jose. You will tackle real-world forecasting, bidding optimization, and delivery quality improvements within a cross-functional team. The role emphasizes innovative ML approaches and scalable systems to drive brand outcomes.

Candidates should have a PhD in CS or related field and strong skills in Go/C/C++/Java/Python, with experience in TensorFlow or PyTorch. A fast onboarding date by year-end is expected.

Qualifications

• PhD in Computer Science or related field completed or near completion.
• Strong programming skills in Go, C/C++, Java, or Python.
• Solid knowledge of data structures, algorithms, and Linux development environment.

Responsibilities

• Forecast inventory and optimize auction traffic.
• Collaborate with engineers, product managers, data scientists, and strategy partners to deliver scalable ML solutions.
• Work on brand ads systems where revenue and user experience are tightly connected.

Skills

PhD in CS

Go/C/C++/Java/Python

Linux

ML fundamentals

TensorFlow/PyTorch/MXNet

English communication

Education

PhD in Computer Science

Tools

TensorFlow

PyTorch

MXNet

Spark

Job description

TikTok is hiring a Machine Learning Engineer Graduate for Brand Ads in San Jose. You will tackle real-world forecasting, bidding optimization, and delivery quality improvements within a cross-functional team. The role emphasizes innovative ML approaches and scalable systems to drive brand outcomes.

Candidates should have a PhD in CS or related field and strong skills in Go/C/C++/Java/Python, with experience in TensorFlow or PyTorch. A fast onboarding date by year-end is expected.