Machine Learning Engineer, Ad Bidding Optimization
: Job Details :


Machine Learning Engineer, Ad Bidding Optimization

Grammarly

Location: New York,NY, USA

Date: 2024-12-02T07:41:49Z

Job Description:

Machine Learning Engineer, Ad Bidding Optimization

Responsibilities
  • This team is responsible for building systems that empower and enhance the company's marketing efforts and strategies.
  • The person in this role will help shape marketing strategies, enhance customer experiences, and optimize marketing campaigns.
  • They will be responsible for leveraging data and advanced algorithms to improve the performance and efficiency of advertising campaigns with the goal of maximizing the return on investment (ROI) for ad spend and delivering targeted ads to the right audience.
  • Drive business impact by building scalable end-to-end machine learning solutions for challenging marketing problems.
  • Help marketing teams make data-driven decisions.
  • Personalize marketing efforts, tailoring content and offers to individual customers.
  • Promote excellence and best practices across the Machine Learning team in research, implementation, tooling, and system design.
  • Work cross-functionally with various teams: Marketing, Marketing Analytics, Data Science, ML Infrastructure, and Product to name a few.
Qualifications
  • Grammarly team members in this role must be based in the United States or Canada, and they must be able to collaborate in person 2 weeks per quarter, traveling if necessary to the hub(s) where the team is based.
  • Embodies our EAGER values—is ethical, adaptable, gritty, empathetic, and remarkable.
  • Has solid software engineering fundamentals, including knowledge of classical algorithms and data structures.
  • Has a solid understanding of the principles and best practices of developing software systems on a large scale.
  • Has the ability to apply machine learning algorithms to ad optimization tasks effectively.
  • Has strong knowledge of probability and statistics.
  • Has expertise in Python, its ecosystem, and Python-based ML tools and frameworks.
  • Has experience in Ad Optimization domain: knowledge of different types of ad channels, multi-channel budget allocation, key marketing performance metrics.
Benefits
  • Grammarly offers all team members competitive pay along with a benefits package encompassing the following and more:
  • Excellent health care (including a wide range of medical, dental, vision, mental health, and fertility benefits).
  • Disability and life insurance options.
  • 401(k) and RRSP matching.
  • Paid parental leave.
  • Twenty days of paid time off per year, eleven days of paid holidays per year, and unlimited sick days.
  • Home office stipends.
  • Caregiver and pet care stipends.
  • Wellness stipends.
  • Learning and development opportunities.
  • Grammarly takes a market-based approach to compensation, which means base pay may vary depending on your location.
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