Principal ML Engineer
About the role
Prodege is a cutting-edge marketing and consumer insights platform that helps leading brands, marketers, and agencies uncover valuable insights and improve their marketing strategies. With a recent $2B+ in lifetime rewards and a data platform handling 50M events per day, Prodege is poised for continued growth and innovation. This role is for a Principal Machine Learning Engineer who will play a pivotal role in shaping the future of machine learning across Prodege's Performance Marketing business.
Responsibilities
Lead the design, build, and evolution of production ML algorithms and systems that drive real business outcomes.
Personally drive critical implementations, proving out new approaches in production before scaling them across the team.
Architect and ship scalable ML systems across offline training, online inference, feature pipelines, feedback loops, and model monitoring.
Build and evolve solutions across: ranking and recommendation, rewards optimization, ROAS/LTV prediction, campaign and offer optimization, experimentation, and decisioning systems.
Establish robust experimentation and measurement frameworks, including offline evaluation, A/B testing, KPI design, and post-launch validation.
Make key decisions on MLOps, tooling, infrastructure, serving patterns, observability, and platform architecture.
Partner closely with Data Engineering, BI, Product, Engineering, and business teams to create reliable data foundations and connect ML work to business priorities.
Drive an AI-first mindset by using AI to accelerate research, prototyping, feature engineering, experiment analysis, debugging, documentation, and developer productivity.
Mentor ML engineers and data scientists by leading through direct contribution and raising the bar on model quality, technical judgment, and engineering rigor.
Requirements
8+ years of experience in software engineering, machine learning engineering, MLOps, or related technical fields.
5+ years building, deploying, and supporting production ML systems at scale.
Strong experience in AdTech, MarTech, Growth, Performance Marketing, or adjacent domains.
Proven experience designing, shipping, and operating production ML systems end to end.
Strong understanding of offline/online ML architecture, feature engineering and feature platforms, model serving patterns, experimentation frameworks for ML systems, A/B testing and measurement design, MLOps, retraining, monitoring, and governance.
Experience partnering closely with Data Engineering/BI/Analytics teams to create clean, scalable, and trustworthy data foundations for ML.
System design skills with sound judgment across performance, reliability, scalability, and cost.
Ability to guide teams toward an AI-first way of working, while maintaining strong validation and engineering discipline.
Strong technical leadership and mentoring capability, with the ability to influence across teams without direct authority.
Comfort operating in ambiguity and still driving systems into production.
Qualifications
Master’s degree or PhD in AI, Machine Learning, or a quantitative field.
Experience with counterfactual reasoning, causal inference, or uplift modeling.
Experience in rewards, offer ecosystems, customer value optimization, or monetization platforms.
Experience with streaming or near-real-time decisioning systems.
Familiarity with modern AI-assisted/AI-first development practices across engineering and data science teams.
Skills
Experience with ranking, recommendation, rewards/incentives, ROAS/LTV prediction, personalization/optimization systems.
Strong hands-on background in ML systems design and implementation.
Ability to lead and mentor a team towards an AI-first approach.
Comfortable with ambiguity and able to make decisions under uncertainty.
Benefits
Comprehensive benefits package including medical, dental, vision, STD, LTD and basic life insurance.
Flexible PTO and paid sick leave.
Eight paid holidays throughout the calendar year.
Pay
The anticipated base salary range for this position is $300,000 to $375,000. The final salary offered to a successful candidate will be dependent on several factors including experience, industry, and knowledge and skills for the position.
Schedule
Full-time position.
Equal Employment Opportunity Statement
At Prodege, we are committed to creating a diverse and inclusive environment. We are proud to be an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by law. We encourage individuals of all backgrounds to apply.