Moloco

About the Company

Moloco’s mission is to empower businesses of all sizes to grow through operational machine learning. With Moloco’s machine learning platform for growth and performance, every app publisher, commerce marketplace, and streaming business can now unlock the value of their unique, first-party data. Moloco Ads enables performance marketers to scale user acquisition for mobile apps through our advanced machine learning models. Moloco Commerce Media enables retailers and marketplaces to build their own ads business with a flexible solution that delivers relevance, results, and automation for scaled and streamlined ad operations. Moloco Streaming Monetization enables streaming media companies to revolutionize their monetization strategy by building an outcomes-based ads business that delivers relevancy for users and results for advertisers. Moloco was founded in 2013 by a team of machine learning engineers and has offices throughout the US, the UK, Germany, Korea, China, India, Japan, and Singapore.

Listed Jobs

Company Name

Moloco

Job Title

Data Science Intern

Job Description

Job Title: Data Science Intern Role Summary: Provide data‑driven insights and scientific solutions to improve performance and cost efficiency of Moloco’s AI advertising platform. Work on ML infrastructure, ad‑tech components, and experimental design to influence product and R&D decisions. Expectations: - Deliver end‑to‑end projects with minimal guidance. - Translate analytical findings into actionable business recommendations. - Manage multiple concurrent tasks while maintaining high attention to detail. Key Responsibilities: - Analyze large datasets (queries, logs) to extract signals that optimize ranking, retrieval, auction/bidding, and budget pacing. - Design, implement, and evaluate advanced optimization strategies for ad delivery to balance ROI and revenue. - Validate hypotheses through rigorous simulation, modeling, and causal inference techniques. - Develop robust experiment designs and metric frameworks to support product and business decisions. - Monitor and report on performance gains and cost efficiencies. Required Skills: - Strong analytical and statistical skills (Python, SQL, R, or equivalent). - Experience with ML pipelines, data engineering, and large‑scale data processing. - Knowledge of experimentation, A/B testing, and causal inference methodologies. - Ability to work independently, own projects end‑to‑end, and communicate insights clearly. - Excellent problem‑solving and project management capabilities. Required Education & Certifications: - Enrolled in an accredited Bachelor’s, Master’s, or Ph.D. program in a technical or quantitative discipline (Computer Science, Statistics, Engineering, Mathematics, etc.). - Expected graduation by June 2027. - No specific certifications required; advanced coursework in machine learning, data science, or statistics is preferred.

Redwood city, United states

Hybrid

Fresher

08-11-2025

Company Name

Moloco

Job Title

Software Engineer Intern

Job Description

**Job Title:** Software Engineer Intern **Role Summary:** Internship in a fast‑paced engineering team focused on building and extending a next‑generation, machine‑learning‑driven ad‑serving platform. Work full‑time (40 hrs/week) for 12 weeks during the summer of 2026 as a junior engineer, contributing to core backend systems, algorithms, and data pipelines. **Expectations:** - Full‑time engagement, 12 weeks (May–Sept 2026). - Residency in Seattle, WA or Redwood City, CA office. - Actively enrolled in a Bachelor’s, Master’s, or Ph.D. program in Computer Science or related technical field. - Must graduate by June 2027 (Bachelor’s/Master’s) or complete Ph.D. during internship. **Key Responsibilities:** - Develop new features for high‑performance, low‑latency backend services. - Improve system scalability, availability, and performance. - Design and implement pricing algorithms and other ML‑related logic. - Collaborate with product managers, UI designers, and fellow engineers to ship features. - Build internal tooling to enhance developer productivity and system efficiency. - Process unstructured logs, messages, and events into structured data for analytics/ML. - Design and maintain backend data pipelines for large‑scale data processing. - Create and expose APIs for delivering advertising campaign results to customers. **Required Skills:** - Strong foundation in data structures and algorithms. - Proficient coding and problem‑solving abilities. - Experience or knowledge of distributed systems and/or database technologies. - Fluency in at least one server‑side language: C/C++, Java, Go, or Rust. - Comfortable with version control (Git) and collaborative development practices. **Required Education & Certifications:** - Current enrollment in a Bachelor’s, Master’s, or Ph.D. program in Computer Science or a closely related technical discipline. - No specific certifications required. ---

Seattle, United states

Hybrid

Fresher

08-11-2025

Company Name

Moloco

Job Title

Senior Manager, Strategy and Operations

Job Description

**Job Title:** Senior Manager, Strategy and Operations **Role Summary:** Lead the strategy, operations, and growth initiatives for Moloco’s Streaming Monetization (MSM) product. Collaborate with global sales and regional teams to develop market strategies, drive revenue, and ensure operational excellence across the MSM organization. **Expectations:** - 8+ years in strategy, operations, product strategy, or sales operations within AdTech or performance marketing. - Demonstrated success in driving top‑line growth in a global B2B sales/product environment. - Strong analytical skills combined with a deep understanding of customer and seller dynamics. - Ability to work in ambiguous, fast‑paced settings and influence cross‑functional stakeholders, including senior executives. **Key Responsibilities:** - Conduct market research, competitive analysis, and identify revenue opportunities for MSM. - Prepare and lead strategy discussions for Moloco leadership, integrating cross‑functional insights. - Maintain revenue analytics and billing systems to provide visibility and forecast outlook. - Set OKRs, track progress, manage customer pipelines, and coordinate with Finance & People for capacity planning. - Enable sales through pitch repositories, upsell support, onboarding, and training sessions. - Hire and manage third‑party vendors for ad campaign operations. - Provide global insights and support distributed teams in strategy execution. **Required Skills:** - Strategic thinking and execution in a B2B sales/metrices environment. - Strong project and program management, with a track record of delivering complex initiatives. - Proficiency in data analysis, dashboards, and revenue modeling. - Excellent communication, storytelling, and persuasion across all levels. - Detail‑oriented, with the ability to craft clear, compelling narratives. - Comfortable working in early‑stage, ambiguous product contexts. - Flexibility to support global, distributed teams. **Required Education & Certifications:** - Bachelor’s degree in Business, Economics, Marketing, or a related field (Master’s preferred). - No mandatory certificates, though experience with analytics or project management tools is advantageous.

California, United states

Hybrid

Senior

10-11-2025

Company Name

Moloco

Job Title

Machine Learning Engineer Intern

Job Description

Job title: Machine Learning Engineer Intern Role Summary: Intern will join a team developing a high‑performance ML system for programmatic advertising. Responsibilities include experimenting with state‑of‑the‑art neural network models, building and optimizing data pipelines, and creating productivity tools for model engineers. Expectations: Full‑time (12 weeks during summer 2026), full team member with junior engineer responsibilities, active participation in project planning, code reviews, and deployment processes. Must be enrolled in a Bachelor's, Master’s, or PhD program in Computer Science or related field; graduation required by June 2027 if pursuing a Bachelor’s or Master’s. Key Responsibilities: • Design, train, and evaluate TensorFlow deep learning models for large‑scale advertising data. • Construct and maintain data ingestion and transformation pipelines using Google Cloud services (Apache Beam/Dataflow, BigQuery, BigTable). • Develop and deploy ML productivity tools (e.g., model quality metrics) to Kubernetes clusters. • Collaborate with model engineers to integrate tools into production workflows. • Conduct experiments on emerging ML architectures and report findings. Required Skills: • Strong background in data structures and algorithms. • Proficient programming skills in at least one language (Python, Java, or similar). • Experience with TensorFlow or other deep learning frameworks. • Familiarity with distributed systems, databases, and cloud data pipelines. • Basic knowledge of Kubernetes and container orchestration. • Excellent problem‑solving and communication skills. Required Education & Certifications: • Current enrollment in a Bachelor’s, Master’s, or PhD program in Computer Science, Data Science, Machine Learning, or a closely related technical field. • Must obtain the degree by June 2027 (for Bachelor’s or Master’s candidates).

London, United kingdom

Hybrid

Fresher

12-12-2025