Discord07/22/2026

Старший инженер-программист, машинное обучение (Реклама)

Salary not specified

MARKET

15,900 ₽median for this role

Data Scientist · 115 jobs with disclosed pay

5,000half of the offers: 12,796–20,50043,793

The employer didn't disclose pay — compare with the market yourself.

San Francisco Bay Area

Responsibilities

01Design, develop, and deploy machine learning models for ads targeting and ranking
02Develop sophisticated ML solutions such as identity graph to enhance ad targeting
03Build and optimize ad ranking models to serve the most effective ads based on campaign objectives (e.g., app installs, link click)
04Improve ads targeting and ranking by leveraging both on-platform and off-platform signals
05Collaborate cross-functionally with product, engineering, and business teams to define and execute on the Ads ML roadmap
06Scale ML infrastructure to support an increasing number of concurrent ad campaigns while ensuring low-latency decision-making
07Drive research and implementation of state-of-the-art ML techniques in the field of online advertising

015+ years of experience as a Machine Learning Engineer or Data Scientist
023+ years of experience specifically in Ads ML (ads ranking, personalization, optimization, privacy-compliant user modeling, targeting, or measurement)
03Strong proficiency in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow
04Experience with applied deep learning (e.g., transformers, embedding models)
05Proven track record of designing, implementing, and scaling ML-driven ad systems in real-world applications
06Experience working with real-time ML inference, A/B testing, and optimization frameworks
07Experience translating ML evaluation results and performance metrics into actionable product roadmap items
08Ability to connect business objectives to ML solutions, with flexibility to shift focus toward highest-impact problems as priorities evolve