Senior Software Engineer - Pricing Algorithms

Seattle, Washington, United States

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Moloco

Moloco provides machine learning-based advertising solutions to drive growth for businesses of all sizes. Turn your first-party data into revenue.

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About Moloco:

Moloco is a machine learning company empowering organizations of all sizes to grow and unlock the full value of their unique first-party data, elevating the traditional path to performance advertising. While the largest technology companies have proven the speed and scale of ad-targeting utilizing data— the same robust performance powered by machine learning has previously been unavailable beyond their platforms. 

That's where Moloco steps in. With Moloco's powerful combination of cutting-edge machine learning technologies, we play a unique and visible role in shaping the digital economy, all while allowing companies to stay independent and scale.

An industry leader at the nexus of machine learning, performance marketing, and visionary product infrastructure, Moloco is advancing the advertising technology industry. We ranked in the top 10% of the Inc. 5000 fastest-growing private companies for 2023. Recognized as one of 46 leading Cloud Computing companies, receiving the Stratus Award for 2023. In 2023, we received Google’s Cloud DevOps Dreamers Award, a recognition given to companies that are implementing DevOps practices to drive organizational success and high performance. Lastly, Moloco is a 2024-certified Great Place to Work! Check us out on Glassdoor and be sure to get an inside look at working at Moloco on Instagram, Twitter, and YouTube.

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

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 will allow us the greatest opportunity to carry out our mission -- to empower businesses of all sizes to grow through operational machine learning.

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:

  • 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.

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. For an overview of our global benefits, click here

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 gender 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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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Engineering Jobs

Tags: Computer Science DevOps Distributed Systems Engineering Java Machine Learning Mathematics Privacy Python Research Statistics Testing

Perks/benefits: Career development Startup environment

Region: North America
Country: United States

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