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Machine Learning Engineer, Ad platform
Machine Learning Engineer, Ad platformNewsBreak • Mountain View, CA, United States
Machine Learning Engineer, Ad platform

Machine Learning Engineer, Ad platform

NewsBreak • Mountain View, CA, United States
30+ days ago
Job type
  • Full-time
Job description

3 weeks ago Be among the first 25 applicants

About NewsBreak

Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech. Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale. Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission : building the infrastructure layer for content intelligence. If you’re inspired to dream big, innovate fast, and make a difference, we’d love to hear from you! For more information, visit www.newsbreak.com / about

About The Role

Are you a Machine Learning Engineer with a passion for bridging technical expertise and business acumen? Do you thrive in building scalable, reliable software and infrastructure? If you're eager to collaborate globally, face challenges head-on, and make substantial impacts, we're looking for you to join our dynamic team.

Responsibilities

  • Responsible for mining and analyzing vast amounts of data on NewsBreak to guide and optimize product strategies for the in-house advertising platform.
  • Enhance the relevance, user experience, and delivery effectiveness of online ads through technical means to maximize monetization of traffic.
  • Research issues related to retrieving, ranking, and optimization in digital advertising and design solutions to solve them in practice.
  • Design and optimize various models within the ad system, including but not limited to CTR and CVR models, to better serve advertisers’ performance goals.

Requirements

  • Bachelor’s degree or higher in Computer Science or a related field.
  • Minimum of 5 years’ experience in development, with in-depth knowledge of machine learning technologies (Recommendation System / Advertising Algorithm / NLP / CV), with at least 3 years specifically dedicated to working on advertising systems
  • Proven experience in optimizing ad performance by using mature models and new technologies
  • A strong passion for emerging technologies and a proven track record in analytical and problem-solving skills.
  • Excellent communication, teamwork, and project management skills are highly valued.
  • Resilience and determination to elevate our business to new heights.
  • Benefits

    We offer a competitive benefits package :

  • Health, dental, and vision care for you and your family (100% coverage for employee)
  • Top-tier 401(K) plan with company matching
  • Paid time off and paid holidays
  • FSA, HSA and commuter benefits programs
  • Team activity budget
  • The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.

    Annual Base Pay Range

    $150,000—$280,000 USD

    CPRA Privacy Notice for California Candidates

    Seniority level

  • Mid-Senior level
  • Employment type

  • Full-time
  • Job function

  • Engineering and Information Technology
  • Industries
  • Software Development
  • Referrals increase your chances of interviewing at NewsBreak by 2x

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    Machine Learning Engineer • Mountain View, CA, United States

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