Senior Machine Learning Engineer - Search Ads

ZipRecruiter; San Jose (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

A leading company in online job recruitment is seeking an experienced engineer for their Search Ads team. You will be responsible for the development and optimization of large-scale Ads systems, utilizing your expertise in machine learning and NLP to improve ad relevance and performance. This role offers the opportunity to innovate and tackle complex challenges within a collaborative environment.

Qualifications

• 5+ years of experience in Search, Ads, Recommendation, or related domains.
• Experience with Machine Learning, Deep Learning, NLP, or ranking systems.
• Solid communication and collaboration skills.

Responsibilities

• Develop a large-scale Ads system and optimize relevance models.
• Work on NLP capability improvement and enhance query understanding.
• Collaborate with product teams to define product strategy.

Skills

Machine Learning

NLP

Deep Learning

Critical Thinking

Collaboration

Education

BS Degree in Computer Science

Tools

Go

C/C++

Python

Job description

Job DescriptionJob Description

Why Join Us

Our platform is built to help imaginations thrive. Together, we inspire creativity and bring joy - a mission we all believe in and aim towards achieving every day. To us, every challenge, no matter how difficult, is an opportunity; to learn, to innovate, and to grow as one team. Status quo? Never. Courage? Always. That's how we drive impact - for ourselves, our company, and the communities we serve.

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

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