About the Team:

The Ads Platform, Experiment team owns Moloco's company-wide experimentation infrastructure. We build the systems that help teams roll out changes safely, measure impact rigorously, and make better product and business decisions with confidence.

Our scope spans experiment lifecycle management, dynamic configuration and feature flag delivery, and the data pipelines and statistical tooling that power experiment analysis. We work at the intersection of backend infrastructure, data systems, and internal product development, partnering closely with engineers, data scientists, and statisticians.

About the Role:

As a Senior Software Engineer on the Experiment Platform team, you will lead the design and evolution of high-leverage systems that shape how Moloco runs experiments across products. You will own important technical areas end-to-end, drive sound engineering decisions in ambiguous problem spaces, and build platforms that improve the speed, safety, and trustworthiness of experimentation company-wide.

This role is well-suited for engineers who combine strong execution with technical judgment, enjoy working across backend and data system boundaries, and want to raise the quality bar for an internal platform used by many teams.

Responsibilities:

• Lead the design and implementation of major components across experiment management services, configuration delivery systems, and analysis pipelines.  
• Own technical decisions for platform areas that require balancing correctness, reliability, performance, and ease of adoption.  
• Improve the trustworthiness of experimentation by strengthening system design, observability, data quality, and operational standards.  
• Partner closely with engineers, data scientists, statisticians, and stakeholders to turn ambiguous requirements into scalable platform capabilities.  
• Mentor other engineers through design discussions, code reviews, and pragmatic technical leadership.

Minimum Qualifications:

• 5+ years of professional software engineering experience in a production environment.
• Strong hands-on experience in backend systems, data infrastructure, distributed systems, or other relevant platform areas.
• Proven ability to independently drive technical projects from problem definition through production rollout in ambiguous problem spaces.
• Strong engineering judgment in system design, operational reliability, maintainability, and cross-functional execution.
• Bachelor's degree in Computer Science, Computer Engineering, or equivalent practical experience.

Preferred Qualifications:

• Experience designing and implementing experimentation platforms, A/B testing systems, feature flagging systems, or dynamic configuration platforms.
• Experience owning platform or infrastructure systems used by multiple engineering teams.
• Experience working with analytical data systems, metrics pipelines, or data quality and correctness challenges.
• Familiarity with advertising, mobile product ecosystems, or performance-driven product environments.

The Impact You’ll Be Contributing to Moloco:

As a Senior Machine Learning Engineer on Moloco’s Ads Quality team, you’ll design and scale machine learning systems that directly improve ad relevance, ranking, and optimization. Your work will have a measurable impact on advertiser performance, revenue efficiency, and the overall user experience across Moloco’s ad platform.

The Opportunity:

• Design, build, and deploy large-scale ML systems for ad ranking, click-through prediction, and conversion optimization
• Develop and operate production pipelines that process hundreds of millions of ad requests per day with low-latency requirements
• Collaborate directly with customers and partners in Mandarin to understand business goals and deliver data-driven ML solutions
• Apply systematic, reproducible approaches to model training, evaluation, and continuous improvement
• Partner with the Machine Learning Infrastructure and Data teams to improve tooling, deployment pipelines, and training efficiency
• Lead design and code reviews to promote technical excellence and standardize ML practices across Ads teams
• Diagnose model performance, identify optimization opportunities, and execute experiments that drive measurable results
• Mentor engineers on best practices for ML experimentation, productionization, and scaling
• Work cross-functionally with product, infrastructure, and business teams to align technical innovations with product goals

How Do I Know if the Role is Right For Me?

• You have 7+ years of experience building and deploying ML systems at scale, ideally in AdTech, recommender systems, or search/ranking domains
• You’ve shipped models that directly improved key product or business metrics such as CTR, CVR, or ROI
• You’re fluent in Mandarin Chinese and skilled at collaborating with customers or partners in technical discussions
• You have strong software engineering fundamentals: data structures, algorithms, and system design and proficiency in Python (C++ or Java a plus)
• You’re experienced with modern ML frameworks such as PyTorch, TensorFlow, or JAX
• You’ve worked with distributed data and compute systems like Apache Beam, Dataflow, or Flume
• You understand how to build robust ML pipelines including data versioning, feature engineering, retraining, and model monitoring in production
• You have experience optimizing inference performance on GPUs, TPUs, or similar hardware accelerators
• You thrive in fast-moving, ambiguous environments and can translate complex technical work into measurable business outcomes
• You value collaboration, accountability, and building systems that scale across teams and markets

About the Role:

We are looking for a Staff Software Engineer to join our Ads Data Warehouse team, which builds and evolves the core data infrastructure that powers all data-driven products and analytics across the company.

The Data Warehouse team is responsible for foundational systems such as data lineage, data catalog, access control, and compliance frameworks—enabling teams to securely and efficiently leverage data for decision-making, analytics, ML modeling, and Ads optimization.

As a Staff Engineer, you will define the technical vision and strategy for the Ads Data Warehouse, ensuring that our infrastructure scales to meet the growing complexity of our Ads ecosystem. You will lead architectural design, drive cross-team initiatives, and mentor engineers across teams. Your work will establish the foundation for reliable, compliant, and discoverable data across the entire company.

Responsibilities:

• Define and drive the technical roadmap and architecture, aligning the direction with product, analytics, ML, and infrastructure needs.
• Lead the design and evolution of core data systems, including data lineage, metadata management, and data catalog systems.
• Partner with cross-functional leaders to establish data governance, access control, and compliance frameworks that ensure data integrity and regulatory alignment.
• Build and scale high-reliability systems that power both real-time and batch data workflows across Ads and analytics use cases.
• Influence engineering culture by defining best practices for data modeling, observability, and developer experience.
• Drive cross-org initiatives to improve data quality, discoverability, and system adoption.
• Mentor senior engineers and help develop technical leadership across the data and infrastructure organization.
• Act as a trusted technical advisor to product and engineering leadership on strategy and scaling challenges.

Qualifications:

• Bachelor’s degree or higher in Computer Science, Engineering, or a related technical field.
• 8+ years of experience in software engineering, with a strong focus on data infrastructure, platform systems, or distributed architectures.
• Proven experience designing and scaling large-scale data platforms or data-intensive systems.
• Strong proficiency in Golang, Python, or Java.
• Deep understanding of distributed systems, metadata management, and data modeling principles.
• Hands-on experience with cloud data platforms (e.g., GCP, AWS, Azure) and data orchestration frameworks (e.g., Airflow, Beam, Dataflow, Kafka).
• Demonstrated ability to define and lead complex technical initiatives that span multiple teams or domains.
• Excellent communication skills, with the ability to influence and align stakeholders across engineering, product, and compliance.

Preferred Qualifications:

• Experience leading the design and development of data governance systems at scale, such as data catalog, data lineage, and/or data asset management.
• Expertise in data governance, access control, and privacy compliance frameworks (e.g., GDPR, CCPA).
• Deep understanding of metadata-driven architectures, data quality frameworks, and observability systems.
• Proven ability to set long-term technical direction, guide multiple teams through architectural transitions, and drive platform adoption.
• Recognized for technical mentorship, thought leadership, and fostering a culture of excellence in data infrastructure engineering.

Expression of Interest

We know that for the most talented engineers, the right opportunity is about more than just a job title, it’s about the right challenge at the right time. Even if our current openings don't perfectly fit your timing and interests today, we still want to hear from you. We view this as a priority pathway to connect with curious, driven MLEs whose unique expertise can help us architect the next generation of planet-scale ML systems. 

At Moloco, our mission is to empower the global digital economy by turning massive first-party data into measurable business outcomes. Whether it’s optimizing real-time bidding for Moloco Ads or building AI-native stacks for Streaming and Commerce, we’re looking for engineers to help us lead the shift toward a more performance-driven, AI-powered internet.

If you’re excited to scale and innovate in a fast-moving environment, share your profile and we will reach out the moment we see a potential match for your experiences and future goals.

About the Role

As a Machine Learning Engineer at Moloco, you will design, train, and deploy the large‑scale models that power our programmatic advertising and commerce media products. You will work at the heart of our real-time bidding and pricing systems, helping shape an end-to-end ML ecosystem that processes billions of daily events. Your work will directly improve marketplace performance for global advertisers and publishers by optimizing for relevance, ROI, and user experience at a scale few companies can match.

The Opportunity

• Architect and iterate on high-performance models that improve ad relevance, click-through rates, and conversion performance.
• Productionize and maintain scalable ML pipelines - from data ingestion to online inference - on top of planet-scale infrastructure.
• Extract insights from massive datasets of user behavior and auction signals to define new features and refine modeling strategies.
• Translate business goals (revenue, ROI, engagement) into concrete modeling challenges and success metrics in collaboration with Product and Data Science.
• Validate innovation through rigorous experimentation, including A/B tests, offline evaluations, and counterfactual analyses.
• Balance marketplace health by implementing models that harmonize advertiser value with a high-quality user experience.
• Enhance system reliability by refining feature stores, monitoring data quality, and establishing robust debugging practices.
• Drive platform evolution, contributing to ML tools and guidelines that increase experimentation velocity and deployment speed.
• Optimize for performance, partnering with Infra teams to reduce latency and improve throughput for low-cost, high-scale decisioning.
• Elevate technical excellence by sharing best practices in modeling and production ML with the broader engineering team.

Expertise We Value:

MLEs at Moloco are hands-on builders of some of the world’s highest-scale ML workloads. They bridge technical innovation with global revenue outcomes, owning the critical systems that define our next generation of machine learning and optimization platforms.

While every journey is unique, we find that the most successful MLEs at Moloco bring a deep technical foundation in the following areas:

• Production ML at Scale: 5-12+ years of experience delivering ML solutions in high-stakes production environments (e.g., Ads, Recommenders, Search, or Marketplaces), with a track record of scaling models for massive throughput and low-latency requirements.
• Algorithmic Mastery: A strong foundation in ML and statistics applied to real-world business challenges, with expertise in areas such as ranking, calibration, exploration-exploitation, causal inference, or multi‑objective optimization.
• Full-Lifecycle Engineering: Deep understanding of the end-to-end ML lifecycle, including data pipelining, feature engineering, model architecture, inference optimization, and the deployment of models into online systems.
• Technical Versatility: Proficiency across a modern ML toolkit (Python, SQL, and frameworks like TensorFlow or PyTorch) and experience leveraging data processing stacks like Spark, Beam, or Flink to deliver results at scale.
• Operational Stewardship: Experience ensuring the long-term health of ML systems in live environments—monitoring performance, diagnosing drift, and iterating based on real-world feedback to maintain measurable impact.
• Technical Mentorship: A passion for advancing the team’s collective bar by sharing best practices for large-scale ML systems and guiding the technical direction of complex machine learning initiatives.

Our Tech Stack:

• Languages: Python, Go, C++
• ML Frameworks: TensorFlow, PyTorch, JAX
• Infrastructure: GCP, AWS, Kubernetes, Spark, BigQuery, BigTable

How You Work: 

• Your ethos is ownership
• You thrive in ambiguity and enjoy partnering with others to shape vague requirements into clear roadmaps with pragmatic tradeoffs.
• You take shared accountability for the end-to-end journey; communicating progress, surfacing risks early, and following through to ensure your work creates measurable value.
• You demonstrate strong judgment under uncertainty. 
• You prioritize based on long-term impact, over short-term noise, making deliberate decisions when information is incomplete.
• You explicitly weigh tradeoffs like speed vs. quality and remain agile enough to adjust your approach thoughtfully as new information/data emerges.
• You lead through clarity and active listening. 
• You reduce ambiguity for the team by asking the right questions upfront, tailor your communication to your audience, document your decisions, and bring helpful structure to complex discussions. 
• You provide thoughtful, evidence-based feedback when needed and align behind decisions once they are made.
• You collaborate early, instead of solving in isolation.
• You build trust across the organization by listening first and navigate conflicting needs with empathy, creating buy-in around priorities and scope. 
• You navigate technical tensions productively, disagreeing thoughtfully while maintaining momentum and strengthening professional relationships.
• You fall in love with the problem, not the solution
• You build for the long run, looking beyond immediate tasks to understand root causes, second-order effects, and the long-term health of our ML ecosystem. 
• When something breaks, you don’t just patch it; you seek structural improvements that prevent recurrence and elevate the technical bar for the entire organization.
• You prioritize customer impact and take action to make it real.
• You prioritize effective solutions that drive business impact over technical elegance, spotting opportunities that others might overlook. 
• You have the initiative to turn ideas into outcomes and the agency to identify and fix gaps, even when they aren’t yet on the formal roadmap.

You can apply for this role through our Open Positions page (or through our Internal Job Board if you are a current employee). We will review submissions on an ongoing basis.

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 cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage Ad Tech products for ECommerce 
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ECommerce and Adtech
• Passionate for learning about technologies and products

The impact you'll be contributing to Moloco:
Product Analytics Data Science (PDS) is the data science team that works closely with the R&D team on our core Ads product. As a Staff Data Scientist, you will drive performance improvement in our product through a deep understanding of the ads ecosystem (supply, demand, bidding, fraud detection) and customer needs, and provide the data driven insight and scientific solutions.

Here’s what you’ll be working on:

• This leader will own the multi-year strategy, roadmap, and execution across the ads supply ecosystem:
  • Supply Exchange & Inventory Integrations: Drive Moloco’s OpenRTB integrations with top-tier third-party supply partners and exchanges, expanding Moloco’s access to high-quality, global, multi-format inventory across gaming and non-gaming verticals.
  • Lead Moloco’s end-to-end General Supply strategy, including Exchange integrations, OpenRTB supply diversification, publisher onboarding, and supply ecosystem expansion.
  • Define, evangelize, and deliver a multi-year supply vision that improves supply quality, scalability, integration reliability, and long-term differentiation
• Conducting deep-dive analysis and experiments to influence product decisions and strategies: analyzing large datasets with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could improve Moloco’s complex ML and bidding system to drive outcomes for customers.

Basic Qualifications

• Distinctive problem-solving skills, ability to articulate product questions, pulling data from large datasets and using statistics to arrive at a recommendation; ability to manage multiple projects at the same time. 
• Proven ability to own complex projects end-to-end, even when you have to get creative: you do more than completing delegated tasks and always pay attention to detail to translate analysis results into business recommendations. 
• Excellent verbal and written communication skills, with ability to present information and analysis results effectively.
• Statistics: strong knowledge and experience in experimental design, hypothesis testing, and various statistical analysis techniques such as regression or linear models.
• Programming: experience with Python, R or other scripting language, and database language (e.g. SQL) or data manipulation (e.g. Pandas, Dplyr).
• Ability to build positive relationships within the DS team and with our stakeholders, and work effectively with cross-functional partners in a global company.
• 6+ years of work experience (industry or postgraduate) in data science related fields or an advanced degree such as Master’s or PhD in a quantitative discipline with 4+ years of experience.

Preferred Qualifications:

• Advanced degree. PhD is highly desirable. 
• Deep expertise in the programmatic supply ecosystem, including ad exchanges, SSPs, OpenRTB protocols, auction mechanics, and cross-platform integration
• Demonstrated ability to drive cross-org alignment, influence senior stakeholders (Directors/VPs), and execute through large engineering teams
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Deep knowledge of supply-side performance metrics such as fill rate, eCPM, latency, bid density, impression opportunities, and unique users—and how to optimize for them
• Hands-on experience with integrations and partner-facing APIs, including defining requirements for interoperability with DSPs, exchanges, ad networks, DMPs, and other adtech partners

The Opportunity: 

We are looking for a seasoned Group Product Manager to lead a critical and highly strategic charter for Supply Quality & Fraud Mitigation Across All Moloco Ads:

• Own the end-to-end product strategy and multi-year roadmap for Moloco’s Supply Quality & Invalid Traffic (IVT) platform
• Establish fraud and supply-integrity standards across all Moloco Ads supply sources, ensuring consistent detection, prevention, and enforcement
• Evaluate, select, and manage third-party fraud/IVT detection partners, owning vendor strategy, tradeoffs, and integration requirements
• Build in-house fraud and invalid-supply detection/mitigation systems where strategic, technical, or performance advantages justify internal investment
• Define and operationalize internal workflows and enforcement mechanisms to ensure scalable, consistent classification, mitigation, and quality control
• Partner closely with Engineering, Data Science, Policy, Business Operations, and GTM teams to ensure Moloco maintains industry-leading supply integrity protections for advertisers

Minimum Qualifications:

• 7+ years of experience in product management related to programmatic adtech
• Programmatic adtech ecosystem expertise, with a specific focus on supply-side mechanics
• Deep understanding of how ad exchanges operate, OpenRTB standards, and how SSPs connect into DSP systems
• Experience owning integrations with external exchanges, SSPs, or SDK-based supply
• Hands-on experience designing, deploying, or managing IVT detection methodologies and fraud prevention strategies within programmatic advertising environments

Preferred Qualifications:

• Degree in Computer Science, Statistics, or a related technical/analytical field
• Deep understanding of publisher monetization models and their fraud/IVT concerns
  
  
• Strong market analysis capabilities—particularly in fraud tactics (SIVT, domain spoofing, ad stacking, click farms) and anti-fraud solutions
• Experience evaluating and managing third-party vendor solutions and strategic partnerships
• Proven leadership driving cross-functional execution across engineering, data science, GTM, and operations
• Familiarity with publisher ad servers, targeting logic, and impression delivery workflows
• Hands-on experience integrating external fraud/IVT detection partners or verification signals into internal systems—including ingestion, classification, and enforcement workflows
• Deep understanding of supply-side performance metrics such as fill rate, bid density, latency, inventory quality signals, and how IVT mitigation impacts them
• Technical understanding of ad-serving mechanics from bid request to creative rendering

The Impact You'll Be Contributing to Moloco:

• Own and drive the multi-year roadmap for Moloco’s Supply Integrity and IVT platform
• Launch fraud detection and mitigation capabilities that protect advertisers and ensure high-quality supply
• Partner with Engineering, Data Science, GTM, Ops, Legal, and Policy to deliver high-impact solutions
• Leverage internal and external signals to inform strategy, detection models, and enforcement mechanisms
• Stay ahead of emerging IVT threats and industry trends, defining new standards and protections
• Build scalable operational workflows for classification, enforcement, monitoring, and issue response
• Define integration requirements for third-party fraud/verification partners
• Resolve supply-integrity issues and implement long-term, systemic fixes

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 cross-team initiatives from conception to completion.
• Create and manage cross-team roadmaps, schedule, risks, and issues.
• Own security, privacy, compliance, and operational excellence initiatives.
• Establish scalable, repeatable, and efficient processes and schedules.
• Be a force multiplier by continually improving engineering, product, and operational efficiency across the organization.
• Help grow the TPM function.

Who We’re Looking For:

• You love working on technical initiatives to build and manage large cloud infrastructure.
• You don’t just work with engineering, you’re embedded into the team, shepherding their programs end-to-end.
• You have worked with big cloud players like GCP, AWS, OCI, Azure, etc.

How Do I Know if the Role is Right For Me?

• Experience working with senior leadership, including C-level leaders.
• Excellent oral and written communication skills
• Ability to effectively collaborate and drive consensus with all levels and teams across the company.
• Integral contributor to the development and operational readiness of large scale cloud products.
• Experience managing projects, risks, and dependencies with Product, Engineering, GTM, and cross-functional teams.
• Experience building scalable, sustainable processes and coordinating release schedules across multiple organizations.
• Experience in agile software development methodologies including deploying best practices and SDLC processes.
• 5+ years of technical program management or engineering management experience.
• 7+ years of experience working directly with software, cloud, or data engineering teams.
• Bachelor's degree in computer science, engineering or a related technical discipline.

Preferred Experience:

• Prior experience in ML Infra and Adtech
• Experience with Multi Cloud infrastructure 
• Passionate for learning about technologies and products

The impact you'll be contributing to Moloco:

Creatives are one of the highest-leverage levers in Moloco Ads: they shape what users see, how they interact, and ultimately how much value advertisers extract from our platform. As formats grow more complex (video, playables, rich HTML) and surfaces diversify across exchanges, SDK, and new inventory types, our creative systems must do more than just serve assets — they must learn, adapt, and guide advertisers toward better outcomes.

This space sits at the intersection of ML/bidding, supply, and UI/UX for advertisers. Strong product decisions here directly influence company toplines, ROAS and advertiser retention. At the same time, weak creative strategy can quietly erode performance, create operational noise, and diminish trust in our optimization systems. We need a Staff Product Data Scientist who can bring structure, rigor, and long-term thinking to this inherently noisy problem space.

The person will be the analytical and product thought partner for the Creatives team, owning the data narrative across ideation, launch, and iteration of creative features and strategies. This is not a “support” role; it is a co-owner of the creative roadmap.

Here’s what you’ll be working on:

This role is critical to ensuring that Moloco’s creative systems become a long-term competitive advantage, not just a collection of formats and features.

• Be recognized as a thought leader in the creative domain, someone whose perspective is actively sought when making high-stakes product calls. For example, influence which creative problems we choose to solve, not just how we measure the outcomes.
• Establish a trusted, repeatable framework for measuring creative impact that the organization rallies around. This will enable PM/ENG to ship creative features faster and with more confidence, backed by well-designed experiments and clear success criteria.
• Reduce ad-hoc fire drills by building durable monitoring, diagnostics, and documentation that make creative performance and adoption more transparent.

Minimum Qualifications

• Bachelor’s degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience.
• 8+ years of experience (or PhD + 6 YoE) in data science, product analytics, or a closely related quantitative field, including significant time as a product-facing IC.
• Proven track record of partnering with Product and Engineering to shape roadmaps, define success metrics, and drive decisions through data.
• Demonstrated ability to operate with high ownership and autonomy, including scoping ambiguous problems and driving them to closure.
• Comfort working across time zones and with distributed teams, using strong async communication and documentation habits.

Preferred Qualifications

• Graduate or PhD degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Physics) or equivalent practical experience with 10+ years of experience in related fields. 
• Prior experience in ad tech, marketing science, or related domains where creatives, auctions, or optimization systems are central to performance.
• Hands-on experience with creative analytics (e.g., format benchmarking, asset-level performance analysis, interaction or engagement modeling).
• Experience collaborating closely with ML teams to design, evaluate, and iterate on model features and policies.
• Excellent communication skills: ability to synthesize complex analytical findings into simple, actionable narratives for technical and non-technical audiences.

The Impact You’ll Be Contributing to Moloco
Help shape the end-to-end experience of Moloco’s Commerce Media products by designing intuitive, data-informed workflows that enable retailers and merchants to unlock the full value of their advertising and retail media programs.

This is a senior IC role with meaningful autonomy and influence. You'll help shape the team's roadmap, navigate ambiguity, and partner closely with Product, Engineering, and other cross-functional stakeholders to craft experiences that directly drive business outcomes and growth for Moloco Commerce Media.

The Opportunity

• Define and iterate on core product experiences across Moloco Commerce Media — from advertiser-facing campaign management to retailer-facing admin tools — balancing usability with the realities of a complex, data-heavy product.
• Translate ambiguous, multi-sided problems into clear workflows, interaction patterns, and prototypes that move product strategy forward.
• Lead end-to-end design cycles  from discovery through prototyping and shipped execution in close partnership with Product, Engineering, and Data.
• Push the product forward beyond where it is today by surfacing opportunities, advocating for new bets, and helping decide what we build next.

How Do I Know if the Role is Right For Me?

• Bring 6+ years of professional product design experience, shipping complex product experiences in B2B, analytics, fintech, or adtech/commerce platforms at scale.
• A track record of framing ambiguous problems and using research, data, and experimentation to refine solutions over time.
• Comfortable using AI across your daily design practice from discovery, ideation, to validation. 
• Communicate clearly and proactively, using storytelling and prototypes to make complex concepts legible and align stakeholders.
• Collaborate effectively with cross-functional partners (Product, Engineering, Data) to balance user needs, technical constraints, and business goals to drive product quality and usability across complex and analytical surfaces. 
• Strong interaction and product design craft, with a high bar for shipping production-quality work.
• Track record of working with or contributing to a design system, evolving patterns as the product matures.
• Passionate about mentoring other designers and contributing to strengthening the team culture.
• A growth mindset. You seek feedback often, change your mind when the evidence says to, take ownership of outcomes, and stay productive when priorities shift.

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.

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

The Opportunity:

• Own, develop, and execute the product strategy for the end-to-end ad product
• Expansion of our technology footprint in the adtech ecosystem across gaming categories, including net new vertical work
• Take new products to market and drive scaled adoption
• Identify growth opportunities and build strategic partnerships

The Impact You Will Have at Moloco:

• Delivering Delightful Advertiser Experiences: You will understand advertiser needs and pain points, and then lead teams to build intuitive, engaging, and indispensable products. 
• Driving Measurable Business Growth: You will own the P&L for an ad product and directly contribute to key business metrics such as revenue, retention, and RoAS.
• Fostering Innovation and Market Leadership: You would be at the forefront of identifying new market opportunities and technological advancements, guiding teams to innovate and launch features that set new industry standards. This involves anticipating future trends and ensuring the product stays ahead of the competition.
• Strategic Influence Across the Organization: You would serve as a key voice for the advertiser, influencing cross-functional stakeholders from engineering and design to marketing and sales. Your ability to articulate the product vision and rally resources would ensure that product initiatives are well-supported and seamlessly integrated across the company, driving a unified approach to serving our users.

Minimum Qualifications:

• Entrepreneurial and innovative spirit, 0 to 1 experience, this includes experience in a startup-like environment, adaptability, bias for action, and comfort with ambiguity
• End-to-end adtech experience
• Experience taking products to market and driving adoption
• Experience working with cross-functional stakeholders. This includes diving deep and earning the respect of your technical counterparts 
• 7+ years of adtech experience 
• Performance adtech experience 

Preferred Qualifications:

• In-depth understanding of the programmatic advertising landscape, including DSPs, SSPs, ad exchanges, ad servers, DMPs, CDPs, and other key components
• Experience with various ad monetization models (e.g., impression-based, click-based, performance-based) and how ad serving works
• Understanding of data privacy regulations (e.g., GDPR, CCPA) and their impact on advertising practices, as well as the responsible use of first-party and third-party data
• Familiarity with different ad formats (display, video, native, in-game ads) and an ability to drive innovation in ad experiences that are user-friendly
• Mobile adtech experience is preferred

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 optimize distributed data systems for real-time and batch processing, ensuring reliable and low-latency delivery of data across the ads ecosystem. You’ll work closely with Product, ML, and Data Science teams to enable feature engineering, identity resolution, and advanced user signal enrichment across online and offline pipelines.

Responsibilities

• Design and build large-scale distributed systems for data ingestion (Petabyte-scale), transformation, and serving.
• Partner with ML and Serving teams to support feature engineering workflows, connecting offline data to serving systems.
• Contribute to the evolution of Feature Infra / Feature Store, ensuring scalability, discoverability, and consistency of feature data.
• Collaborate on Identity Graph construction to unify user and device identifiers for more effective signal enrichment and targeting.
• Improve system observability, resilience, and performance in high-throughput, low-latency environments.
• Mentor engineers and help define best practices for data and backend engineering.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, or equivalent technical field.
• 5+ years of software engineering experience with one or more modern languages (Java, Kotlin, Go, C++, C#, or Python).
• Proven experience designing and building large-scale distributed systems and backend services.
• Hands-on experience with data processing frameworks such as Apache Beam, Dataflow, or Spark, and orchestration tools like Airflow.
• Strong understanding of cloud infrastructure (GCP, AWS, or Azure) and data storage technologies (BigQuery, Bigtable, Redis, GCS, Kafka, Pub/Sub).
• Demonstrated experience delivering impactful projects through collaboration with cross-functional teams (Product, ML, Data Science).

Preferred Qualifications

• Experience with Feature Infra / Feature Store architecture and operations.
• Experience in Identity Graph design and construction to enhance user signal quality.
• Deep familiarity with AdTech or Machine Learning infrastructure domains.
• Experience working with Petabyte-scale data and high-availability systems.