Senior Machine Learning Engineer

ZipRecruiter; San Jose (CA); On-site; USD 130,000 - 170,000; Full time

Job summary

A leading tech company seeks an experienced software engineer for the Search Ads team. This role involves developing large-scale Ads systems, optimizing strategies using NLP and Machine Learning, and collaborating with cross-functional teams to define product features and strategies.

Qualifications

• 5+ years of experience in Search, Ads, or related domains.
• Experience in Machine Learning, Deep Learning, and ranking systems.
• Strong communication skills in a cross-functional environment.

Responsibilities

• Develop a large-scale Ads system focusing on NLP and optimization.
• Research and develop Ads algorithms and traffic control.
• Collaborate with product teams on strategy and features.

Skills

Machine Learning

NLP

Data Analysis

Feature Engineering

Critical Thinking

Collaboration

Education

BS degree in Computer Science

Computer Engineering or other relevant majors

Tools

Go

C/C++

Python

Job description

Job DescriptionJob Description

The Search Ads team constantly pushes the boundaries of general search engine monetization across multiple apps within our ecosystem, building a globally leading Search Ads monetization system. At the Search Ads team, you will have the chance to work on large-scale distributed storage and architecture, NLP, Rank, and IR related problems. You will be also deeply involved in the innovation and optimization of our Ad format, creative display, and the ROI of ads delivery. We are looking for candidates who brave difficulties, share a passion for tackling complexity and developing our Search Ads product from 0 to 1 with a world-class team of passionate engineers.

What You'll Do:

• 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 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

Requirements

• BS degree in Computer Science, Computer Engineering or other relevant majors
• Experience with one or more general purpose programming including but not limited to: Go, C/C++, Python
• 5+ years of experience in and a good understanding of one of the following domains: Search, Ads, Recommendation, Monetization Products, Shopping Products.
• Experience with one or more of the following: Machine Learning, Deep Learning, NLP, ranking systems, recommendation systems
• Ability to think critically and formulate solutions to problems in a clear and concise way
• Solid communication and collaboration skills with the ability to work effectively with internal teams in a cross-cultural and cross-functional environment