Remote Back-End Engineer, Ads Team

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IntelliPro

💵 $150k-$200k
📍Remote - United States

Job highlights

Summary

Join our team as a Back-End Engineer - Ads Team in San Jose, CA (On-Site or Remote) and contribute to building scalable and reliable ads ranking infrastructure systems. As a key member of the ads ML infrastructure team, you will develop and execute technical visions and provide leadership to team members.

Requirements

  • Bachelor's degree in computer science or related technical disciplines
  • 5+ years of hands-on experience with building and training complex and scalable machine learning systems
  • Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills
  • Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning
  • Experience in managing projects

Responsibilities

  • Lead projects committed to building and operating scalable and reliable ads ranking infrastructure systems
  • Develop, drive, and execute the technical vision and roadmap for the ads ML infrastructure team
  • Provide technical leadership and guidance to team members and project peers
  • Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts
  • Lead the innovation efforts, and bring in new ideas and technologies

Preferred Qualifications

  • Experience in Ads domain (Including Ads System, Search, Ranking, Recommendation)
  • Experience with building large-scale ranking infrastructure

Job description

Job Title: Back-End Engineer - Ads Team

Position Type: Full Time

Location: San Jose, CA (On-Site or Remote)

Salary Range / Rate: Base $150,000 - $200,000

Responsibilities

• Lead projects committed to building and operating scalable and reliable ads ranking infrastructure systems.

• Develop, drive, and execute the technical vision and roadmap for the ads ML infrastructure team. • Provide technical leadership and guidance to team members and project peers.

• Communicate cross-functionally across various teams, organizations and internal and external stakeholders to drive engineering efforts.

• Lead the innovation efforts, and bring in new ideas and technologies.

Minimum requirements

• Bachelor’s degree in computer science or related technical disciplines.

• 5+ years of hands-on experience with building and training complex and scalable machine learning systems.

• Strong Computer Science fundamentals (algorithms, data structures, software design) and problem-solving skills.

• Solid coding skills and a good understanding of algorithms, especially causal inference, uplift model, and deep learning.

• Experience in managing projects.

Preferred requirements

• Experience in Ads domain (Including Ads System, Search, Ranking, Recommendation).

• Experience with building large-scale ranking infrastructure

About Us:

Founded in 2009, IntelliPro is a global leader in talent acquisition and HR solutions. Our commitment to delivering unparalleled service to clients, fostering employee growth, and building enduring partnerships sets us apart. We continue leading global talent solutions with a dynamic presence in the USA, China, Canada, Singapore, Philippines, UK, India, Netherlands, and the EU.

IntelliPro, a global leader connecting individuals with rewarding employment opportunities, is dedicated to understanding your career aspirations. As an Equal Opportunity Employer, IntelliPro values diversity and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, or any other legally protected group status. Moreover, our Inclusivity Commitment emphasizes embracing candidates of all abilities and ensures that our hiring and interview processes accommodate the needs of all applicants. Learn more about our commitment to diversity and inclusivity at https://intelliprogroup.com/.

Compensation: The pay offered to a successful candidate will be determined by various factors, including education, work experience, location, job responsibilities, certifications, and more. Additionally, IntelliPro provides a comprehensive benefits package, all subject to eligibility.

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