GumGum

About the Company

GumGum is the contextual-first technology leader transforming digital advertising with AI-powered, non-invasive data and media solutions. We champion effective advertising that uplifts and respects consumers. Our proprietary Contextual, Attention, and Creative solutions create the perfect match between a brand and a consumer in the right moment and mindset. Founded in 2008, GumGum is headquartered in Santa Monica, California, and operates in 19+ markets.

Listed Jobs

Company Name

GumGum

Job Title

Software Engineer I

Job Description

Job Title: Software Engineer I Role Summary: Full‑stack engineer on the Advertising Applications team building and maintaining React‑based web applications and Java/Spring APIs used across the company. Expectations: • Ship production‑ready code with minimal guidance. • Own scoped tasks and contribute to project‑level initiatives. • Collaborate with product managers, QA, designers, and DevOps. • Participate in code reviews, test implementation, and debugging. Key Responsibilities: 1. Design, develop, and maintain new features for React web applications. 2. Create and extend backend functionality using Java/Spring, including RESTful APIs. 3. Conduct unit, integration, and end‑to‑end testing; ensure cross‑browser compatibility. 4. Troubleshoot and resolve user‑reported issues. 5. Contribute to deployment pipelines and release processes. 6. Mentor and pair with peers; share knowledge through internal communication. 7. Build new applications from the ground up as needed. Required Skills: • 1–2+ years of software engineering experience, including JavaScript. • 1+ year experience with React and Java. • Proficiency in JavaScript, HTML5, CSS3, and TypeScript. • Familiarity with Redux, Webpack, and responsive design. • Experience using Git and command‑line tools. • Knowledge of SQL and RESTful API concepts. • Understanding of deployment pipelines and release processes. Required Education & Certifications: • Bachelor’s degree in Computer Science or related technical field (preferred; not mandatory).

Santa monica, United states

On site

Fresher

25-12-2025

Company Name

GumGum

Job Title

Data Scientist I

Job Description

**Job title** Data Scientist I **Role Summary** Support the end‑to‑end development and deployment of machine learning (ML), statistical, and AI solutions that drive ad relevance and performance across the Ad Exchange, Contextual Platform, and Attention Measurement Platform. Work closely with Engineering, Product, and senior Data Scientists to analyse large datasets, build and evaluate ML models, and maintain production ML systems. **Expectations** - Translate business and product requirements into data‑driven analyses and ML models. - Contribute to all stages of the ML lifecycle—exploration, feature engineering, modeling, evaluation, deployment, and monitoring. - Engage with cross‑functional teams to iterate on models and validate impact on key metrics. - Maintain documentation and share learnings to support knowledge dissemination. - Continuously learn new ML techniques, tools, and advertising‑domain concepts. **Key Responsibilities** - Conduct exploratory data analysis to inform feature development. - Query, clean, and structure large datasets using SQL, Spark, and cloud data platforms. - Build and evaluate ML models under guidance of senior team members. - Contribute to MLOps workflows for model training, deployment, and monitoring (e.g., MLflow, Weights & Biases). - Define and track KPIs in Business Intelligence tools to measure model performance and downstream impact. - Document analyses, models, and insights for team knowledge sharing. **Required Skills** - Proficiency in SQL and familiarity with Spark or similar big‑data frameworks. - Strong foundation in statistical analysis and ML model development. - Experience applying ML techniques to real‑world datasets. - Ability to collaborate effectively with Engineering and Product teams. - Excellent analytical reasoning and problem‑solving abilities. - Comfortable learning new tools, techniques, and domain knowledge. **Required Education & Certifications** - Bachelor’s degree in Statistics, Mathematics, Physics, Economics, Computer Science, or a related quantitative/technical field. - 1–2+ years of experience in a data‑driven role (Analytics, Data Science, or similar). - Recent graduates with internship experience are acceptable. - No additional certifications required, but familiarity with MLOps tools and advertising domain is a plus.

Santa monica, United states

On site

11-03-2026