Careers at AppLovin

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. As a member of our ML Data Platform team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds a high-performance, high availability, globally distributed ecosystem platform of services that in turn provide the foundation for rapid development of novel new systems that integrate into that ecosystem and improve it. The Impact You'll Make Design and build data processing infrastructure for model training and feature serving, optimizing for performance, reproducibility, and traceability Collaborate closely with research teams to design and implement novel data processing architectures for emerging model and training paradigms Identify and resolve performance bottlenecks across the training data pipeline, from raw data ingestion to feature delivery Establish best practices, tooling for data infrastructure used across ML teams Required Qualifications Have 1 - 3 years of experience and a minimum of a BS and/or MS in Computer Science Strong software engineering fundamentals, with experience building high-throughput, fault-tolerant distributed systems Hands-on experience with distributed computing frameworks such as Apache Spark or Flink Solid grounding in data structures, systems design, and performance optimization Strong problem-solving skills and attention to detail Preferred Qualifications Background in MLOps, Data Infrastructure, or ML Infrastructure Experience with ML training pipelines, feature stores, or model-serving systems AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Other Types of Pay: Equity eligible Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to peopleops@applovin.com. CA Base Pay Range $150,000 — $224,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. About the Role Gist is a new consumer social app built by AppLovin, a handbook for the curious. We’re looking for a Full Stack Engineer to build the web applications, embedded web experiences, and mini games that bring our product to life. You’ll work across frontend interfaces and backend services, turning product ideas into experiences that are fast, reliable, and easy to use. Your work will span responsive web pages, experiences embedded in mobile apps through WebViews, and lightweight interactive games. You’ll own features from implementation through launch, contribute to larger projects with guidance from experienced engineers, and work closely with product and design to improve what we ship. A Day in the Life Build and maintain responsive web applications using HTML, CSS, JavaScript or TypeScript, and a modern frontend framework. Develop web experiences that work smoothly inside mobile WebViews, accounting for different screen sizes, devices, and platform behavior. Build and integrate lightweight mini games and interactive features, including the interfaces and backend services that support them. Develop and maintain backend APIs and database integrations that power product features. Partner with product managers, designers, and mobile engineers to turn requirements into working features and deliver them through release. Improve overall product performance, stability, and user experience across all platforms. Write maintainable, tested code, participate in code reviews, and troubleshoot issues across the frontend and backend. The Impact You’ll Make Help shape how users discover, interact with, and enjoy Gist across web and mobile experiences. Turn new product ideas into working features and improve them through user feedback and product data. Contribute reusable components and integrations that help the team deliver future experiences faster. Help establish a reliable technical foundation as the product grows. Who You Are Two years of professional software engineering experience, with practical experience contributing to both frontend and backend development. Strong foundations in HTML, CSS, and JavaScript or TypeScript, including responsive layouts and browser behavior. Experience with a modern frontend framework such as React or Vue. Experience building backend services in at least one programming language, working with APIs, and using relational or non-relational databases. Experience delivering smaller features independently and contributing to larger projects with guidance. A thoughtful approach to debugging, testing, and writing code that others can understand and maintain. Comfortable collaborating across engineering, product, and design, asking questions early, and following through on delivery. Care about the details that make consumer products feel intuitive and responsive. Preferred Qualifications Experience building cross-platform web applications, mini apps, or embedded web experiences. Familiarity with mobile WebViews, communication between web content and native apps, or platform SDK integrations. Experience building HTML5 games or interactive browser experiences using Canvas, WebGL, or a game framework. Familiarity with product analytics, feature experiments, or consumer applications. Experience using AI coding tools such as Claude Code or Cursor, with careful review and validation of generated code. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. At AppLovin, AI isn't a feature — it's the foundation. We are building a next-generation global content platform that uses intelligent recommendation, personalisation, and content understanding to help people discover experiences that genuinely matter to them. Backed by AppLovin's world-class AI capabilities and global infrastructure, our ML team is working on some of the most technically interesting problems in the recommendation and content space — at a scale few startups ever reach. For Summer 2027, we're looking for Machine Learning Engineer Interns who want to work on real ML systems, not toy datasets. You'll contribute to production pipelines across areas like content recommendation, ranking, user modelling, and content quality — depending on where you're placed and where you can make the most impact. About Gist Gist is a new social media platform for people who want substance — practical, thoughtful content that spans philosophy debates, city-specific recommendations, seasonal gift guides, and wellness tips. Across categories like travel, food, career, and family, we describe it as "a handbook for the curious." Gist is built by AppLovin Corporation — a company that hit $5.3B in revenue last year and sits alongside Google and Meta as one of the world's leading ad tech platforms. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021–2024). About the Team Our ML team owns the intelligence layer of the platform — the systems that decide what content a user sees, how it's ranked, how new users and new content are onboarded, and how we balance engagement, retention, and ecosystem health over time. It's a highly cross-functional team: you'll work alongside product managers, backend engineers, and data analysts to turn model improvements into measurable business outcomes. As an intern, you'll be embedded in a specific ML workstream with a senior engineer mentor and a project scoped for real production impact. What You'll Do Contribute to the development and evaluation of ML models within a defined area — recommendation, ranking, content understanding, or user behaviour modelling. Own a focused internship project end-to-end: problem framing, feature engineering, model training, offline evaluation, and where possible, online experimentation. Run experiments and analyse results to form a clear, data-backed view of what's working and why. Collaborate with engineers and product managers to understand system constraints and translate model improvements into production-ready solutions. Participate in team discussions on model architecture, system design, and metric trade-offs. Requirements Currently pursuing a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field Solid foundation in machine learning concepts — supervised learning, model evaluation, optimisation, and the trade-offs between different modelling approaches. Proficiency in Python and familiarity with at least one ML framework such as PyTorch or TensorFlow. Comfortable working with data — feature engineering, exploratory analysis, and interpreting experimental results. Strong software engineering fundamentals: clean code, version control, and the ability to collaborate on a shared codebase. Curious, rigorous, and honest about what the data is actually telling you. Good To Have Any project or coursework experience applying ML to real data — Kaggle competitions, research projects, and course capstones all count. Exposure to recommendation systems, ranking, or personalisation concepts — even from an academic or reading background. Familiarity with large-scale data tools such as Spark, Hive, or cloud ML platforms. Understanding of A/B testing and statistical significance in an experimentation context. Interest in content platforms, social products, or AI-driven discovery systems. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. AppLovin is seeking a Software Engineer with strong machine learning expertise to advance user signal and recommendation technologies across our advertising platform, which reaches more than 1 Billion users globally. In this role, you will work on large-scale machine learning problems spanning user signals, representation learning, ranking, retrieval, model architecture, and optimization. In this role, you will work on large-scale machine learning problems spanning user signals, representation learning, ranking, retrieval, model architecture, and optimization. You will develop new ways to understand, represent, and utilize user signals and apply them to ranking and recommendation models. You will work across the ML stack from user signal and feature development to modeling, experimentation, and production to improve the relevance and performance of our advertising systems at scale. Responsibilities Develop and improve user signals, features, and representations used by large-scale machine learning models for advertising and recommendation. Explore machine learning approaches to learn effectively from large-scale, sparse, noisy, and heterogeneous user signals. Improve the quality, coverage, and utilization of user signals, and measure their impact on downstream machine learning models and advertising performance. Develop user representations and modeling approaches that effectively incorporate user signals into ranking, retrieval, prediction, and optimization systems. Advance large-scale recommendation systems across candidate retrieval, ranking, prediction, and optimization. Explore new model architectures and learning approaches to improve recommendation quality and advertising performance. Develop scalable approaches for representation learning, feature interaction, and multi-task learning across large-scale user signals. Identify and solve challenging ML problems spanning user signal quality, feature quality, model quality, training stability, data integrity, and serving performance. Scale machine learning models and training systems to support increasing data volume, model complexity, and computational requirements. Improve training and inference efficiency by identifying bottlenecks across model computation, data loading, memory utilization, distributed execution, and hardware utilization. Build scalable tools and frameworks for user signal and feature evaluation, model training, experimentation, deployment, monitoring, and debugging. Design and analyze offline and online experiments to understand the incremental value of user signals and model improvements and their impact on product and business outcomes. Work closely with engineering, data, and product teams to bring new user signals and machine learning approaches from experimentation into production. Minimum Qualifications Bachelor's degree in Computer Science, Computer Engineering, Machine Learning, or a related technical field, or equivalent practical experience. 4+ years of experience developing and deploying machine learning systems in production environments. Experience with machine learning or deep learning in areas such as recommendation, ranking, retrieval, prediction, advertising, representation learning, or related applications. Experience developing and training machine learning models using large-scale datasets. Strong understanding of machine learning fundamentals, including model architectures, optimization, representation learning, feature engineering, and model evaluation. Strong programming and software engineering skills, with experience building reliable production systems. Experience with modern deep learning frameworks such as PyTorch or TensorFlow. Experience diagnosing and solving problems involving data and feature quality, model quality, training, or serving performance. Preferred Qualifications Experience developing user signals, features, or learned user representations for large-scale machine learning systems. Experience with large-scale recommendation or advertising systems, including candidate generation, retrieval, ranking, or prediction. Experience with representation learning, embeddings, feature interaction, or multi-task learning using large-scale user signals. Experience measuring the incremental value of user signals and understanding their downstream impact on ranking or recommendation performance. Experience developing and scaling deep learning architectures for recommendation, ranking, or advertising applications. Experience with distributed model training and large-scale ML infrastructure. Experience optimizing training or inference workloads on GPUs or other accelerators. Experience optimizing ML systems for latency, throughput, memory utilization, or computational efficiency. Experience designing and analyzing online experiments and offline model evaluations. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Other Types of Pay: Equity eligible Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to peopleops@applovin.com. CA Base Pay Range $150,000 — $224,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. At AppLovin, we believe the best engineers don't just write code — they shape products. Our new social platform venture is building the digital backbone for the next generation of content discovery and creator tools, powered by distributed systems, real-time engagement, and AI-driven recommendations. As a founding member of this team, you'll work alongside experienced engineers on systems that will serve millions of users, learning and contributing at a pace that few other environments can offer. About Gist Gist is a new social media platform for people who want substance — practical, thoughtful content that spans philosophy debates, city-specific recommendations, seasonal gift guides, and wellness tips. Across categories like travel, food, career, and family, we describe it as "a handbook for the curious." Gist is built by AppLovin Corporation — a company that hit $5.3B in revenue last year and sits alongside Google and Meta as one of the world's leading ad tech platforms. Fortune recognizes AppLovin as one of the Best Workplaces in the Bay Area, and the company has been a Certified Great Place to Work for the last four years (2021–2024). Job Description Design, develop, and maintain backend services and APIs that support content delivery, user interactions, and social features. Collaborate with product managers and AI engineers to translate product requirements into sound technical designs. Participate in system design discussions and contribute to architectural decisions across the platform. Build and iterate on MVPs quickly for creator-facing and internal operations platforms. Troubleshoot and resolve issues related to correctness, reliability, and system performance. Learn and grow alongside a senior team in a fast-moving, high-ownership environment. Requirements Currently pursuing a Bachelor's degree or above in Computer Science, Engineering, or a related field. Proficiency in at least one major backend programming language such as Go, Java, or Python. Strong computer science fundamentals — data structures and algorithms, operating systems, networking, and databases. Sharp logical thinking and problem-solving ability; you enjoy breaking down ambiguous problems. Strong ownership mindset, good communication skills, and the ability to work collaboratively and independently. Genuine curiosity about how large-scale systems work and an eagerness to build them. Good To Have Hands-on experience with Go. Familiarity with relational or NoSQL databases (e.g. MySQL, PostgreSQL, MongoDB). Exposure to caching or message queue systems such as Redis or Kafka. Interest in or project experience with real-time systems, media processing, or content recommendation. Comfortable working in a Linux environment. AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. AppLovin is seeking a Measurement Data Scientist to join our Product Partnerships & Measurement team. This role is ideal for someone who is deeply curious about data and metrics—someone who doesn’t just analyze numbers, but strives to understand the nuances, assumptions, and limitations behind them. You’ll play a key role in helping us triangulate across multiple sources of truth—platform data, 3rd-party measurement (MMM, MTA, incrementality, post purchase survey, etc), and internal attribution systems—to uncover actionable insights that drive smarter business and marketing decisions. You’ll collaborate closely with the Partnerships, Marketing Science, and Business Development teams to interpret results, refine methodologies, and translate insights into strategies that drive impact for AppLovin, our partners, and advertisers. Key Responsibilities Investigate performance metrics across platform and 3rd-party measurement systems to identify inconsistencies, uncover insights, and drive clarity. Analyze data using SQL and Python (pandas, numpy, sklearn, matplotlib) to extract trends and inform business decisions. Synthesize complex data into clear, actionable insights and communicate them effectively across technical and non-technical audiences. Develop a strong understanding of advertising and commerce ecosystems, including conversion tracking, attribution, media mix modeling and incrementality. Partner with internal and external stakeholders to design and evaluate incrementality tests, and to interpret results and insights from MMM, MTA, brand lift, post-purchase studies, and other measurement frameworks. Ask critical questions, challenge assumptions, and continuously refine the metrics and frameworks used for evaluating performance and provide guidance to advertisers on their learning agendas. Build tracking frameworks to monitor test performance and campaign outcomes; follow up and follow through with advertisers and partners to ensure best-practice setup, proper tracking, and adoption of key learnings. Collaborate cross-functionally to translate analytical findings into business strategies that improve campaign effectiveness and advertiser ROI. Experience in advertising, digital marketing, or eCommerce analytics. Minimum Qualifications Strong SQL skills and experience with large-scale data manipulation. Thorough understanding of data structures. Proficiency with Python for data analysis (pandas, numpy, sklearn, matplotlib) Significant experience in data analysis in an online environment, with direct exposure to scoping and executing analytical projects end-to-end Strong communication skills and ability to translate analytical findings into clear business recommendations. Highly curious and detail-oriented, with an investigative mindset and comfort working with messy or incomplete data. Demonstrated ability to manage competing priorities and deliver results in a fast-paced environment. Collaborative and flexible team player who takes initiative and drives continuous improvement. Preferred Qualifications Experience in advertising, digital marketing, or eCommerce analytics. Experience with industry-standard measurement methodologies, including CLS, RCTs, attribution modeling, incrementality testing, and GeoLift. Demonstrated ability to apply AI techniques to marketing measurement challenges. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Other Types of Pay: Equity eligible Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to peopleops@applovin.com. CA Base Pay Range $98,000 — $148,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. We are seeking a Data Scientist – Analytics to join our team and help bridge the gap between engineering and business functions at AppLovin. In this role, you will work with petabyte-scale datasets across our ad and app ecosystem , analyzing high-velocity data streams generated by tens of millions of daily active users . You will support the development of analytics tools, monitoring systems, and reporting pipelines that improve visibility into product health, business performance, and model outcomes. You’ll partner closely with research scientists, engineers, and business stakeholders to uncover insights, diagnose issues, and identify opportunities for growth. This role is ideal for someone early in their data science career who enjoys solving ambiguous problems, has foundational statistical and modeling knowledge, and is excited to build impactful tools used across the organization. Key Responsibilities Analytics, Monitoring & Tooling Build and maintain dashboards, monitoring systems, and automated reporting to track product, business, and model performance. Develop scalable analytics pipelines to surface key metrics, detect anomalies, and support timely issue diagnosis.. Define and refine KPIs, using structured, hypothesis-driven analysis to understand performance changes and long-term trends. Insights Discovery & Model Evaluation Analyze large datasets to identify trends, diagnose performance changes, and uncover growth opportunities. Conduct exploratory analysis, root-cause investigations, and hypothesis-driven deep dives. Support engineering and research science teams in evaluating model performance, including stability, calibration, and long-term health. Experimentation & Measurement Assist in designing A/B tests, computing key metrics, and interpreting results. Apply basic statistical reasoning (e.g., variance, confidence intervals, significance testing) to support decision-making. Cross-Functional Collaboration Partner with engineering to integrate new data sources, refine data structures, and enable scalable analytics. Work with product and business teams to understand analytical needs and translate them into actionable solutions. Minimum Qualifications Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline. Basic understanding of core statistical concepts and introductory modeling techniques, with the ability to apply them in practical analysis 0–3 years of experience in data analytics or data science (internships or projects count). Proficiency with SQL and at least one analytical programming language (Python preferred). Ability to work with large datasets and translate findings into actionable recommendations. Ability to translate business questions into analytical frameworks and communicate insights effectively to both technical and non-technical audiences. Curious, proactive mindset with a desire to learn quickly and contribute meaningfully. Preferred Qualifications Master’s degree in Data Science or a related quantitative discipline. Experience with BI tools such as Looker, Tableau, Superset, Metabase, or similar. Familiarity with cloud data warehouses (e.g., BigQuery, Snowflake) and workflow orchestration tools such as Airflow. Exposure to A/B testing, experiment design, or statistical evaluation. Understanding of digital advertising, performance marketing metrics, or online marketplace dynamics. Experience collaborating with cross-functional teams (engineering, product, business). What You’ll Gain Hands-on experience with real production analytics, monitoring systems, and model evaluation. Opportunities to build foundational infrastructure that scales across teams. Exposure to high-scale data challenges and real-world ML performance considerations. A meaningful role in driving insights that inform product and business strategy. AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Other Types of Pay: Equity eligible Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to peopleops@applovin.com. CA Base Pay Range $120,000 — $180,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. A Day in the Life As a member of our software engineering infra team, you'll solve technical challenges, including upgrading and implementing state-of-the-art software infrastructure. The team builds a high-performance, high availability, globally distributed ecosystem platform of services that in turn provide the foundation for rapid development of novel new systems that integrate into that ecosystem and improve it. Our infra team is responsible for providing and maintaining scalable infrastructure with high throughput and low latency to our bidding ecosystem. You will be exposed to the whole pipeline of model delivery, including training, serving, and optimizations, etc. The Impact You'll Make Design, develop, and maintain large-scale distributed systems Collaborate with various engineering teams to meet a wide range of technological challenges Work closely with our research science team and backend team to contribute and influence the roadmap of our products and technologies Influence and inspire team members Speed up the performance of our online models Optimize the model delivery pipeline Who You Are Have 0-2 years of experience and a minimum of a BS and/or MS in Computer Science Have excellent knowledge of computer science fundamentals including data structures, algorithms, and coding Good experience with C++, Python and/or Golang is a plus Experience independently creating and maintaining projects AppLovin provides a competitive total compensation package with a pay for performance rewards approach. Total compensation at AppLovin is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Depending on the position offered, equity, and other forms of incentive compensation (as applicable) may be provided as part of a total compensation package, in addition to dental, vision, and other benefits. Other Types of Pay: Equity eligible Health Insurance: Medical, Dental, Vision, Life, Disability Retirement Benefits: 401(k) Retirement Plan Paid Time Off: Unlimited Discretionary Time Off Paid Holidays: 10 paid holidays per year Paid Sick Leave: 80 hours per year Method of Application: Apply online Application Window: The application window is expected to close within 30 days of the posting date. All questions or concerns about this posting should be directed to peopleops@applovin.com. CA Base Pay Range $124,000 — $250,000 USD AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.

About AppLovin AppLovin makes technologies that help businesses of every size connect to their ideal customers. The company provides end-to-end advertising solutions for businesses to reach, monetize and grow their global audiences. For more information about AppLovin, visit: www.applovin.com . To deliver on this mission, our global team is composed of team members with life experiences, backgrounds, and perspectives that mirror our developers and customers around the world. At AppLovin, we are intentional about the team and culture we are building, seeking candidates who are outstanding in their own right and also demonstrate their support of others. 【The Role】 We are looking for a Machine Learning Engineer with strong experience in large-scale recommendation systems to help build the next-generation social media platform. You will own critical components of our recommendation stack — including recall, ranking, CTR modeling, and multi-objective optimization — with the goal of driving retention, engagement, and long-term ecosystem growth. 【A Day in the Life】 Design and deploy scalable recommendation pipelines Develop and optimize CTR/CVR prediction models Improve multi-objective ranking strategies (retention, monetization, diversity, long-term value) Tackle cold-start challenges for new users and new content Run offline experiments and online A/B testing to drive measurable gains Collaborate closely with product, engineering, and monetization teams Continuously iterate on model performance, latency, and system reliability 【The Impact You’ll Make】 Improve user retention through intelligent content recommendation Drive measurable lift in engagement and monetization metrics Build core ranking mechanics beyond incremental model tuning Shape the foundation of a scalable, long-term content ecosystem 【Who You Are】 3–5 years of experience building production-grade ML systems Strong hands-on experience in recommendation systems Experience in one or more: Recall systems / candidate generation Ranking models CTR prediction Multi-task or multi-objective optimization Proficient in Python and ML frameworks (PyTorch, TensorFlow, etc.) Strong software engineering fundamentals Experience with large-scale data systems and distributed training is a plus Experience improving retention or long-term user value is highly valued 【Why Join This Venture】 Build 0-to-1 systems inside a proven AI powerhouse High ownership and direct business impact Startup speed with AppLovin-level scale and resources Opportunity to shape a new growth engine for the company AppLovin is proud to be an equal opportunity employer that is committed to inclusion and diversity. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status, or other legally protected characteristics. Learn more about EEO rights as an applicant here . If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send us a request at jobs@applovin.com AppLovin will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. If you’re applying for a position in California, learn more here . To support an efficient and fair hiring process, we may use technology-assisted tools, including artificial intelligence (AI), to help identify and evaluate candidates. All hiring decisions are ultimately made by human reviewers. Please read our Global Applicant Privacy Notice to learn more about how AppLovin processes your personal information.