Principal ML Engineer

About this role

WHO WE ARE Adikteev is an AdTech company that helps mobile app publishers grow their revenue through targeted advertising. We deliver personalized ads that drive users to install an app or re-engage with one they've stopped using. Our clients are mostly mobile gaming leaders but also span e-commerce, on-demand services, and entertainment apps. Recognized for 10+ years as one of the top mobile retargeting platforms, Adikteev now operates globally from Paris, San Francisco, Barcelona and Seoul and has grown to over 120 employees.

Beyond the business, Adikteev is consistently recognized as a great place to work. With an 18-nationality team, a 4.5-day work week, and a strong focus on inclusion, Adikteev is a place where people genuinely stay. WHAT TEAM YOU WILL BE PART OF You will be joining the Machine Learning team . They have full ownership of Adikteev 's ML ecosystem; building and maintaining the systems that power the core of our business at massive scale.

They operate with a strong product ownership mindset, working at the intersection of research and production, where the models they ship have a direct and measurable impact on billions of real-time decisions every day. WHAT YOU WILL DO Technical Leadership : Set technical direction, Model Development : Design and train on predictive models for CTR, CR, VTA, bid shading, and auction-win probability across display and video inventory, Platform Engineering : Scale our ML platform — feature stores, training pipelines, model versioning, A/B experimentation — to support multiple model families running in production simultaneously, Real-time Systems : Drive sub-10ms inference at high QPS through model optimization (ONNX), efficient serving, and latency-aware architecture decisions, MLOps & Observability : Own end-to-end ML workflows from data ingestion through monitoring: drift detection, shadow scoring, A/B tests, and automated retraining triggers ; drive design reviews, ADRs, and mentoring of senior+ ML engineers.

Translate business objectives into technical strategies, Cross-functional Partnership : Work closely with Tech Reporting and Analytics to define ML KPIs, instrument experiments, and communicate model performance to stakeholders up to Comex level, Applied Research : Design and set up a neural network for adtech from the ground up, taking it from prototype to production in our bidding stack. ★ WHO YOU ARE You could be a great addition to our Engineering team if you have: 8+ years of industry ML engineering experience, with 3+ years building and owning production ML systems at scale.