Senior Machine Learning Engineer

Our client is one of the top mobile game publishers in the industry, specialized in classic card and puzzle games. Since their flagship title launched on the day the Apple App Store opened in 2008, they have been entertaining gamers worldwide. Today, their impressive portfolio includes beloved, globally recognized hits that have been downloaded over 600 MILLION times!

They aren't just famous for their games; they are renowned for their culture. Our client has been named one of Built in LA’s Best Places to Work five years in a row, and recognized as a Best Place to Work in Orange County five times. They genuinely prioritize professional growth, total wellness, and a supportive, collaborative environment.

They are seeking a hands‑on, results‑driven Senior Machine Learning Engineer to join their client's AdTech Optimization team. This is an applied role focused heavily on impact, where deep technical judgment, modeling craft, and analytical depth converge to drive massive business results.

In this senior role, you will operate with strong autonomy and set technical direction within your area. You will own end‑to‑end ML work streams—using large, multi‑table datasets to build, iterate, and maintain predictive models that influence the core of the client's advertising business.

• Model Implementation: Train and evaluate ML/AI models using proven libraries, focusing on swift delivery and short cycles of improvement.
• Data & Feature Engineering: Analyze large-scale, multi‑table AdTech datasets across multiple sources 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 features and suggestions, adapting smoothly to shifting market dynamics.
• Collaborative Leadership: Partner closely with other engineering teams and PMs to communicate tradeoffs, explain model behavior, and align on rollouts.
• Impact‑First Code: Elevate modeling standards across the broader team and contribute production‑quality code complete with tests, reviews, and documentation.

• Education: Bachelor’s degree in Computer Science, Computer Engineering, or a related field.
• Experience: 5+ years of industry experience in ML Engineering, Data Science, or Applied ML with a strong background in model training.
• Technical
  
  Skills:
  
  Strong coding skills in Python and SQL. High comfort level working with large datasets, multi‑table joins, and online feature stores.
• ML Craft: Proven experience building ML/AI models for optimization or prediction problems using standard, proven libraries. A solid understanding of feature engineering and how choices directly affect model performance.
• Soft Skills: Strong critical thinking, clear communication skills, and the ability to execute independently with some guidance.

Our client believes in taking exceptional care of their team members. Here is a snapshot of the premier benefits package they offer:

• Top‑Tier Health: 100% company‑paid medical, dental, and vision insurance options, plus 100% paid life insurance.
• Work‑Life Balance: Unlimited PTO / Vacation time to recharge.
• Financial Future: 401(k) with a highly competitive company contribution.
• Epic Company Trips: An annual, all‑inclusive company trip for you and a guest (past destinations have included Hawaii, a Mexican Riviera Cruise, Las Vegas, and Los Cabos!)
• Office Culture: Free daily lunch, snacks, and drinks provided in a newly remodeled office in the heart of Irvine.
• Casual Vibes: Relaxed dress code, a culture focused on high growth, and fun team events like an annual Game Jam.

Interested in learning more? Apply today!