Senior SWE/MLE - Pricing Algorithms - Auction Mechanisms

15 Minutes ago • 6 Years + • $170,000 PA - $220,000 PA
Research Development

Job Description

Moloco is seeking an exceptional Senior SWE/MLE to join the Bidder Quality team, focusing on pricing algorithms and auction mechanisms. This role involves designing and implementing real-time bidding and pricing algorithms for a high-scale advertising system, leveraging optimization techniques, auction theory, and machine learning fundamentals. The engineer will lead research projects, potentially small teams, and contribute to performance improvements and cost reductions by debugging production issues and stabilizing core systems through deep end-to-end understanding, working closely with infrastructure and ML teams.
Good To Have:
  • Ph.D degree in Applied Mathematics, Operations Research, Management Science or related field.
Must Have:
  • Design and implement real-time bidding and pricing algorithms for a high-scale advertising system.
  • Leverage adtech experience to improve auction outcomes and bidding strategies.
  • Develop scalable and cost-efficient ad serving systems.
  • Conduct deep root-cause analyses of ad performance issues using statistical reasoning and quantitative methods.
  • Identify opportunities to optimize the ad delivery pipeline, including reducing system or serving costs.
  • Collaborate cross-functionally with product, infra, and account teams.
  • Stay informed on system-level and data-level changes to improve infrastructure and ML model performance.
  • Bachelor's Degree in Computer Science with mathematical coursework.
  • 6+ years of overall work experience (industry or postgraduate) in research related fields focused on optimization of market prices or ML systems.
  • Proven experience working in the adtech space, preferably with exposure to auction-based systems and real-time bidding environments.
  • Strong mathematical or statistical background (e.g., optimization, probability, hypothesis testing).
  • Solid understanding of business metrics, with an ability to translate technical changes into business outcomes.
  • Strong system design skills, with experience in designing scalable, fault-tolerant distributed systems.
  • Familiarity with cost-aware engineering practices.
  • Hands-on coding ability in production-level codebases (e.g., C++, Java, Go, or Python).
  • Working knowledge of machine learning principles, particularly in applied settings like ranking, predictions, or decision systems.
Perks:
  • Competitive benefits package
  • Innovative benefits that empower employees to take care of themselves and their families

Add these skills to join the top 1% applicants for this job

data-structures
cpp
game-texts
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python
algorithms
java
system-design
machine-learning

About Moloco:

Moloco builds some of the most powerful AI advertising solutions in the world. Our name—short for "machine learning company"—reflects our core mission: democratizing access to the advanced AI that has historically been reserved for tech giants. Led by machine learning pioneers who built some of the most successful ad systems at Google, including YouTube's monetization engine and key search advertising technologies, we're transforming how businesses grow and compete in the digital economy.

Built with AI from day one, Moloco’s planet-scale machine learning platform powers a suite of solutions for advertising growth and monetization. Moloco Ads is an AI-powered platform that delivers real business outcomes for mobile app marketers through performance-based user acquisition. Moloco Commerce Media and Streaming Monetization solutions enable retailers, marketplaces, and streaming platforms to build revenue-generating ad businesses that balance user experience and advertiser performance.

Moloco is headquartered in Silicon Valley, with offices in Seattle, New York, San Francisco, Seoul, Beijing, Singapore, Bangalore, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.

Creating a diverse workforce and a culture of inclusion and belonging is core to our existence. To reach our goals, diversity of talent and thought is a critical component of how we operate as an organization. Our workforce is our superpower, and we know that fostering a culture of inclusion, authenticity, and belonging gives us the greatest opportunity to achieve our vision to become the scaling engine for the Internet economy.

Moloco is a truly rewarding place to work and in an exciting period of growth, which you could be a part of. Join us today and apply now!

The impact you'll be contributing to Moloco:

We seek an exceptional engineer with a strong computer science + mathematics foundation to join Moloco’s Bidder Quality team. In this role, you'll leverage the state-of-the-art technology stack that Moloco uses to drive our ML-powered performance ads business to determine bidding/pricing decisions.

The Bidder Quality team owns the final bidding and pricing decisions that we are making for advertising campaigns. An example system component that the team builds is the bid price optimizer for first-price auction based open internet ad inventories. The team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams and machine learning teams.

As a Senior Software Engineer on our Machine Learning Engineer (MLE) team, you will lead research projects and may lead small teams of MLEs as part of a broader group of cross functional collaborators working together to solve challenging problems in a complex multi-causal environment. Your work will contribute to driving performance improvements and cost reductions as you and your team debug and investigate production issues and stabilize our core system through deep end-to-end understanding.

Here’s what you’ll be working on:

  • If you've worked on bidding, bidder quality, ads quality, this role is for you.
  • Design and implement real-time bidding and pricing algorithms for a high-scale advertising system (7M QPS), using optimization techniques, auction theory, and machine learning fundamentals.
  • Leverage adtech experience to improve auction outcomes and bidding strategies, drawing from a strong understanding of advertising ecosystem dynamics (e.g., DSPs, SSPs, auctions).
  • Develop scalable and cost-efficient ad serving systems, with strong system design principles to support performance advertising at scale.
  • Conduct deep root-cause analyses of ad performance issues, using statistical reasoning and quantitative methods to drive unbiased insights and corrective actions.
  • Identify opportunities to optimize the ad delivery pipeline, including reducing system or serving costs while maintaining performance, using efficient algorithms and data structures.
  • Collaborate cross-functionally with product, infra, and account teams to anticipate the business impact of system changes and define future product roadmaps with a strong sense of product intuition and operational awareness.
  • Stay informed on system-level and data-level changes, and work with collaborators to improve infrastructure and ML model performance in response.

Basic Qualifications

  • Bachelor's Degree in Computer Science with mathematical (ex, stats) coursework
  • 6+ years of overall work experience (industry or postgraduate) in research related fields focused on optimization of market prices or ML systems
  • Proven experience working in the adtech space—preferably with exposure to auction-based systems and real-time bidding environments.
  • Strong mathematical or statistical background (e.g., optimization, probability, hypothesis testing).
  • Solid understanding of business metrics, with an ability to translate technical changes into business outcomes.
  • Strong system design skills, with experience in designing scalable, fault-tolerant distributed systems.
  • Familiarity with cost-aware engineering practices—ability to optimize for compute, memory, and latency trade-offs.
  • Hands-on coding ability in production-level codebases (e.g., C++, Java, Go, or Python).
  • Working knowledge of machine learning principles, particularly in applied settings like ranking, predictions, or decision systems.
  • Ph.D degree in Applied Mathematics, Operations Research, Management Science or related field a plus.

Our Compensation And Benefits (for United States Residents Only)

In accordance with various state laws, the range provided is a reasonable estimate of the base compensation for this role. The actual amount may be higher or lower based on non-discriminatory factors such as experience, knowledge, skills, and abilities. We also offer a competitive benefits package.

Base Pay Range:

$170,000 - $220,000 USD

Moloco Thrive: Benefits and Well-Being:

We take care of you and create the conditions for you to do the best work of your career. Through a lens of inclusion, we offer innovative benefits that empower our employees to take care of themselves and their families so they can do the best work of their lives.

Moloco Values:

  • Lead with Humility: Everyone’s voice is respected, valued, and heard. With humility, we become more open and accessible to each other. We win, lose, and learn together. Accountability and feedback are essential to our success.
  • Uncapped Growth Mindset: We see all situations as opportunities to learn, grow, and improve as individuals and as an organization. We seek diverse perspectives, encourage curiosity, and promote experimentation to push the boundaries of what’s possible.
  • Create Real Value: We pursue the most impactful opportunities with rigor and integrity. We take intelligent risks and make disciplined trade-offs to maintain deep focus. We help our customers win by delivering durable value.
  • Go Further Together: We’re one team working towards one mission and vision. We collaborate proactively and inclusively, involving the right people at the right time and in the right way. We strive to create a more equitable workplace. We won’t let each other fail.

Additional Resources:

Equal Opportunity:

Moloco is an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, color, creed, religion, national origin, age, sex and gender, gender expression and identity, sexual orientation, marital status, ancestry, physical or mental disability, military and veteran status, or any other characteristic protected by law.

Candidate Privacy Notice:

Your privacy matters to us. By applying, you acknowledge that you’ve reviewed our Candidate Privacy Notice.

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