Job 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.
Responsibilities:
- Model Implementation: Train and evaluate ML/AI modes 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 for Position:
- 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.
A Little Bit About Us:
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.
Do we have your attention yet? Here are just some of the perks of working with us:
- We offer medical (100% paid option), dental (100% paid), vision (100% paid), unlimited PTO/Vacation, life insurance (100% paid), and a 401K with competitive contribution.
- Annual, all-inclusive company trip for you and a guest. Previous destinations includeHawaii, 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!
In compliance with local law, we are disclosing compensation for this role. The range listed is just one component of MobilityWare’ s total compensation package for employees, which may include short- and long-term incentives and program-specific awards. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Starting pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, certifications, location, business needs, or market demands. This range is based on a full-time position. This range may be modified in the future. The annual base salary pay range for this role is $130,000-$150,000.
