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Moloco Jobs in Seattle, WA (NOW HIRING)

Senior Applied Scientist - Moloco Ads

Seattle, WA · On-site +1

$104K - $142K/yr

About the Role The impact you'll be contributing to Moloco: The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure ...

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 ...

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 ...

About the Role The Ads Applied Data team builds and scales the foundational data infrastructure that powers Moloco's advertising platform. As a Senior Software Engineer, you will design, develop, and ...

The Opportunity: * Be the connective tissue across the organization to keep engineering, product, leadership, and stakeholders aligned on priorities, schedule, risks, and progress. * Own and drive ...

Moloco information

See Seattle, WA salary details

$9

$28

$66

How much do moloco jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for moloco in Seattle, WA is $28.51, according to ZipRecruiter salary data. Most workers in this role earn between $16.39 and $33.30 per hour, depending on experience, location, and employer.

How does Moloco work?

Moloco is a company that provides programmatic advertising solutions using machine learning algorithms to optimize ad campaigns in real-time. It leverages data analysis and automation tools to help advertisers target audiences effectively and maximize return on investment. Employees working at Moloco typically need skills in data analysis, software development, or digital marketing.

What is a moloco?

Moloco is a technology company specializing in machine learning and programmatic advertising solutions for mobile apps and e-commerce businesses. They help app developers and marketers optimize user acquisition and monetization by providing automated ad buying and personalized recommendation tools. Moloco's platform uses advanced algorithms to deliver targeted advertising campaigns, helping clients maximize their return on investment while maintaining user privacy. The company also offers analytics and reporting features to track campaign performance and audience insights.

What are the key skills and qualifications needed to thrive as a software engineer at Moloco, and why are they important?

To thrive as a Software Engineer at Moloco, you need strong programming skills (such as Python, Java, or C++), a solid understanding of algorithms and data structures, and a degree in computer science or a related field. Familiarity with cloud computing platforms, big data technologies, and machine learning frameworks is highly valued, along with experience in version control systems like Git. Excellent problem-solving abilities, effective communication, and a collaborative mindset are essential soft skills in this environment. These competencies ensure you can contribute to Moloco's data-driven ad tech solutions, innovate effectively, and work well within cross-functional teams.

What is the difference between Moloco vs Data Analyst?

AspectMolocoData Analyst
Required CredentialsBachelor's in CS, Math, or related; experience with data toolsBachelor's in Statistics, Math, or related; proficiency in data analysis tools
Work EnvironmentTech companies, advertising, and marketing firmsVarious industries including finance, healthcare, marketing
Employer & Industry UsageUsed in ad tech, machine learning, and data-driven marketingUsed across industries for interpreting data and generating reports
Common Search & ComparisonYesYes

Moloco roles focus on machine learning and ad tech platforms, requiring technical skills in data processing and modeling. Data Analysts interpret data to inform business decisions across industries. While both roles involve working with data, Moloco positions are more specialized in advertising technology, whereas Data Analysts have broader industry applications.

What does a typical day look like for a software engineer at Moloco, and how do they interact with cross-functional teams?

At Moloco, Software Engineers typically start their day by reviewing project updates and participating in daily stand-up meetings with product managers, data scientists, and other engineers. Much of their time is spent designing, coding, and testing scalable solutions for Moloco's advertising and data platforms. Collaboration is key—they regularly work with data analysts to interpret performance metrics and partner with the product team to align technical efforts with business goals. The fast-paced, supportive environment encourages continuous learning and provides opportunities to contribute to high-impact projects that drive company growth.
What are popular job titles related to Moloco jobs in Seattle, WA? For Moloco jobs in Seattle, WA, the most frequently searched job titles are:
What cities near Seattle, WA are hiring for Moloco jobs? Cities near Seattle, WA with the most Moloco job openings:
Infographic showing various Moloco job openings in Seattle, WA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $59,301 per year, or $28.5 per hour.

Senior Applied Scientist - Moloco Ads

Moloco

Seattle, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 2 days ago


Job description

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 enables retailers and marketplaces 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, Gurgaon, Tokyo, Shanghai, London, Tel Aviv, and Berlin.
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!
About the Role
The impact you'll be contributing to Moloco:
The Research Science (RS) team focuses on the operation and optimization of our software systems working closely with infrastructure engineering teams, machine learning teams and data science teams. As an Applied Scientist, you will participate as an individual contributor on research projects alongside other research scientists within the context of a group of cross functional collaborators working in complex multi-causal environments to identify inefficiencies, analyze potential options, and propose solutions. Your work will contribute to driving performance improvements and cost reductions, debugging and investigating production issues, and stabilizing our core system as you develop a deep end-to-end understanding of the system.
Here's what you'll be working on:
  • Work with other applied scientists on projects to evaluate the health of both internal and external components to make sure the Moloco system is running safely and efficiently.
  • Learn from your senior peers how to identify new areas to improve our infrastructure and machine learning components by understanding internal system changes, external changes, and data changes, and identify and suggest interesting/useful next steps for your projects.
  • Complete task as part of larger projects to complete deep unbiased analyses.
  • Implement, and evaluate new algorithms and features in collaboration with senior Applied Scientists, Software Engineers and Machine Learning Engineers.
  • Analyze massive, high-dimensional datasets from ad auctions and user interactions to uncover insights, define success metrics, and guide modeling and product decisions.
  • Collaborate closely with product, engineering, and other scientists to iterate on experiments, define roadmaps, and translate business requirements into scientifically sound solutions.
  • Improve the reliability, latency, and efficiency of online prediction and decision systems by applying rigorous experimentation, monitoring, and continual model refinement.
Basic Qualifications:
  • Advanced degree in Computer Science, Mathematics or related field, or industry experience in optimization of market prices or ML systems
  • At least 4 years of engineering or applied science experience
  • Proficient verbal and written English communication skills, with the ability to contribute to the creation of presentations and reports
  • Quick understanding of new information and the demonstrated ability to learn new technical skills across engineering, machine learning, and data science
  • Track record of building positive relationships with collaborators and stakeholders and working effectively with cross-functional partners in a global company

Compensation & Benefits
U.S.-based employees have access to medical, dental, and vision insurance, a 401(k) plan with company match, short-term and long-term disability coverage, basic life insurance, and well-being benefits and perks. U.S.-based employees also receive up to 12 scheduled paid holidays per calendar year and one Thrive Day off per quarter. Additionally, all employees have Flexible Time Off (FTO).
The successful candidate may be eligible for a bonus and equity awards. Eligibility and amounts are determined by performance and the terms of the applicable plans.
The location for this role is listed above. For base pay range purposes, location-based compensation is grouped into the following regions. Your region is determined by your assigned work location.
  • Region A: Menlo Park Office, New York Office, SF Bay Area, New York Metro Area
  • Region B: Seattle Office, Seattle, Los Angeles/Orange County, San Diego, Austin, Boston, Washington DC Metro Area, Miami
  • Region C: All other U.S. locations

Salary Ranges:
Region A:
$188,000-$235,000 USD
Region B:
$169,200-$211,500 USD
Region C:
$159,800-$199,750 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:
  • Moloco Company Blog
  • Moloco Leadership
  • Moloco Newsroom

AI Use in Interviews
Our interview process is designed to get to know the real you. Unless a round specifically includes AI as part of what's being assessed, we ask that candidates engage without AI assistance. Please review our AI Use in Interviews Policy before your interview to understand what to expect. Failure to comply with this policy may impact your candidacy.
Candidate Privacy Notice:
Your privacy matters to us. By applying, you acknowledge that you've reviewed our Candidate Privacy Notice.