Ref#: R0024114

Our mission.

As the world’s number 1 job site, our mission is to help people get jobs. We need talented, passionate people working together to make this happen. We are looking to grow our teams with people who share our energy and enthusiasm for creating the best experience for job seekers.

The team.

We are a rapidly growing and highly capable engineering team building the most popular job site on the planet. Every month, over 250 million people count on us to help them find jobs, publish their resumes, process their job applications, and connect them to qualified candidates for their job openings. With engineering hubs in Seattle, San Francisco, Austin, Tokyo and Hyderabad, we are improving people's lives all around the world, one job at a time.

The base salary range below represents the low and high end of the Indeed salary range for this position. Actual salaries will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. The range listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Long Term Incentives, an open Paid Time Off policy, and many region-specific benefits. 

San Francisco Bay Area Base Salary Range: 190,000 - 234,000  USD per year

Your job.

The SMB Ads Optimization team's primary objective is to help people get jobs. To achieve this, we build systems to decide when and where to spend an employer's budget to maximize the probability of hire. We do this by owning and operating bids for SMB ad campaigns. You will directly influence Indeed's ads platform's future, and you will be responsible for optimizing and running experiments in Indeed's marketplace of employers and job seekers.

  • Use your expertise in big data and machine learning to solve problems like budget recommendations, forecasting, bid optimization, ads ranking, matching, personalized targeting, among other technical challenges to improve Indeed's marketplace.

  • Help design and build better marketplace experimentation frameworks and testing new auction strategies.

  • Experiment and build ad systems that help employers find the best candidates and help job seekers find their dream jobs.

  • Help scale a data infrastructure for our massive sets of data to enable millions of database lookups.

  • Help scale a data pipeline for real-time processing of an enormous amount of user behavioral data.

  • Have ownership over the things you build, help shape the product and technical vision, direction, and how we iterate.

  • Work closely with multiple teams to improve the highest-trafficked parts of Indeed, including the homepage and job search.

  • Work closely with the product managers and stakeholders so that they can leverage your work into new products and systems.

  • Get the satisfaction of knowing that you helped connect people to that perfect job that's just right for them.

About you.

We're looking for someone who

  • Deep expertise in big data and applied machine learning, preferably in digital advertising, auctions, or bidding systems.

  • Experience in ranking systems, recommendation systems, pricing and revenue management platforms, or other machine learning-based software platforms is a plus.

  • Experience running controlled online experiments and taking data-driven decisions for improving machine learning-based products.

  • Passionate about using big data and machine learning technologies to solve challenging problems in advertising.

  • Passionate about your work and the problems you solve. 

  • Passion for collaboration and making others around you successful. 

  • Has a strong sense of ownership in everything you build.

  • BS in Computer Science or related area, or relevant work experience.

  • 7+ years of experience in software development.


  • Experience with digital advertising such as ads optimization, ads serving, ads ranking, bidding systems, budgeting, or ad targeting. 

Indeed provides a variety of benefits that help us focus on our mission of helping people get jobs.

View our bounty of perks:  

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