This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We’re looking for a hands-on, results driven Machine Learning Engineer (Applied Machine Learning) to join our AdTech Optimization team. This is an Applied Machine Learning role focused on impact. You’ll work on data heavy Machine Learning projects that use large multi-table datasets to build and iterate on predictive models that influence the core of our Ad business. This role is focused on Model training using proven libraries and maintaining model health through retraining and continuous improvement. You will work in a Machine Learning focused team that delivers multiple area reliable Machine Learning projects. - Model Implementation: Train and evaluate ML/AI models using proven libraries, focus on delivery in short cycles of improvement. - Data analysis and feature engineering: Analyze large scale AdTech datasets across multiple sources and tables to understand patterns and opportunity areas. - End to end execution: Build and maintain data processing pipelines that generate features consistently and reproducibly. - Model evolution: Retrain and improve existing models by introducing new models and suggesting new features, adapting to shifting market dynamics. - Collaborate with other Engineering teams and PM: Communicate tradeoffs, explain model behavior and align on milestones and rollout plans. - Impact first: Contribute production quality code: tests, reviews, documentation and best practices. Qualifications - Bachelor’s degree in Computer Science, Computer Engineering. - 3+ years of industry experience in ML engineering / Data Science / Applied ML (or equivalent) with AI/ML model training. - Strong coding skills in Python and SQL, experience building ML/AI models for optimization / prediction problems using standard libraries. - Ability to analyze big data and make decisions on Model feature inputs and experience working with online feature stores. - Comfortable working with large datasets and multi-table joins. - Solid understanding in feature engineering and how feature choices affect model performance. - Ability to execute with some guidance, strong critical thinking and clear communication. Benefits - Medical (100% paid option), dental (100% paid), vision (100% paid). - Unlimited PTO/Vacation. - Life insurance (100% paid). - 401K with competitive contribution. - Annual, all-inclusive company trip for you and a guest. Previous destinations include Hawaii, a Mexican Riviera Cruise, Las Vegas and Los Cabos! - In the office we offer things like free lunch, free snacks, and free drinks. - Casual workplace that includes a relaxed dress code, plus a newly remodeled office in the heart of Irvine. - Growth, growth, growth - we are growing, and we would love for you to join us on the ride. - Annual Game Jam to show off your creative chops! Company Description MobilityWare is one of the leading mobile game publishers of card and puzzle games. With our headquarters in the heart of Orange County and a growing studio in Utah, we’re dedicated to our mission of bringing joy to others one game at a time. Ever since our flagship title Solitaire hit the Apple App Store on the day it opened in 2008, MobilityWare has been entertaining gamers around the world. With a product portfolio that includes beloved hits such as FreeCell, MONOPOLY Solitaire, Spades, Hearts, Mahjong, and Bubble Shooter Pop, our games have been downloaded over 600 MILLION times. MobilityWare was recently named one of Built in LA’s Best Places to Work for the fifth year in a row and we’ve been recognized as one of the Best Places to Work in Orange County five times by the Orange County Business Journal and OC Register. While we’re proud to be the company behind some of mobile gaming’s most popular titles, our most important achievement is creating a work environment that encourages professional growth and prioritizes the wellness of all of our team members.

• Design and implement MLOps pipelines to automate model training, deployment, monitoring, and management • Lead/mentor a team of MLOps Engineers, fostering an inclusive and collaborative environment that encourages innovation and continuous learning • Collaborate with Data Scientists and ML Engineers to ensure models are production-ready, scalable, and maintainable • Develop strategies for model versioning, testing, and deployment to facilitate a seamless and efficient development lifecycle • Monitor model performance and data drift, implementing automated alerts and processes for model retraining and optimization • Develop and maintain platforms and applications that serve as foundational components for robust and scalable ML pipelines • Stay at the forefront of MLOps trends, tools, and technologies, integrating new approaches to enhance our ML operations and infrastructure

• Contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization • Participate in discovery, requirements gathering, and prototyping of new tools and libraries • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer • Participate in code reviews • Implement and update tests (unit, integration)

• Oversee ML bot research, development, and implementation. • Identify and evaluate opportunities to use generative AI across the production pipeline. • Gather AI-related ideas and needs from teams and convert them into actionable plans. • Drive execution of approved AI initiatives, prototypes, and workflow improvements. • Explore and prototype local models trained on internal data. • Develop guidelines and best practices for agentic AI systems (e.g., Windwalk, Antigravity). • Educate directors and teams on AI capabilities, limitations, and practical usage. • Up to date knowledge with emerging AI models, tools, and industry trends. • Understand major AI models and clearly explain their strengths, weaknesses, and applicability