Senior Data Scientist — AI for Mobile Gaming
About the Role
We’re looking for a world-class Senior Data Scientist specializing in Applied AI for Mobile Gaming to push the boundaries of how user acquisition, creative production, and gameplay insights are powered by next-gen models. You’ll work across large-scale marketing datasets, gameplay telemetry, and creative assets to architect intelligent systems that help mobile games grow faster and smarter.
This is a highly technical, high-impact role—not just building models, but designing the next evolution of voice-over automation, text-to-video generation, LLM interpretability, and video content deconstruction pipelines . You’ll partner closely with product, engineering, and creative teams to take breakthrough research and convert it into production-grade systems used across millions of players and thousands of creatives.
If you love cutting-edge AI, thrive in ambiguous problem spaces, and want to shape the future of mobile gaming growth, this role is for you.
What You’ll Own
- End-to-end model development for marketing, gameplay, and creative pipelines—spanning data ingestion, modeling, deployment, and ongoing optimization.
- Advancement of Voice-Over AI technologies including neural TTS, style transfer, emotion modeling, and production-ready audio synthesis.
- Innovation in text-to-video systems , designing pipelines that combine LLM prompting, diffusion-based video generation, animation workflows, and creative constraints for mobile ads.
- Research & development on LLM decoding and interpretability , enabling better model alignment, controllability, and explainability for creative and marketing use cases.
- Deconstruction of video assets for automated tagging, scene breakdown, motion analysis, attention mapping, and actionable creative insights.
- Production-scale data science architecture , enabling real-time scoring, predictive performance modeling, and creative optimization for mobile UA campaigns.
- Cross-functional leadership , translating complex data science breakthroughs into creative, product, and business roadmap impact.
- Continuous exploration of state-of-the-art AI , evaluating new model architectures, agent systems, and multimodal research—and rapidly prototyping what’s most promising.
What You Bring
5–8+ years of experience in data science, applied machine learning, or AI research , ideally within gaming, ad tech, or consumer-scale products.Expert-level proficiency in LLMs, multimodal models, transformers, diffusion models , and modern AI toolchains.A deep understanding of ML systems design , including distributed training, model serving, feature engineering at scale, and GPU / accelerator optimization.Strong experience with large datasets , including marketing data, creative performance data, or telemetry from mobile games.Proficiency in Python, PyTorch, TensorFlow, JAX , and modern vector databases and embeddings frameworks.Experience shipping ML models to production environments with real-world performance constraints.A proven ability to translate ambiguous business needs into concrete, scalable technical solutions.What Will Make You Great at This Role
You think like a systems architect , not just a model builder—seeing how LLMs, audio, video, and game data connect to create end-to-end value.You are obsessed with the creative side of gaming , and have intuition for what makes mobile ads perform.You have hands-on experience with video segmentation, multimodal embeddings, audio analysis, or diffusion-based video generation .You are passionate about LLM interpretability , decoding strategies, token-level insights, and controllability techniques.You’re energized by greenfield challenges and can move fast from concept → prototype → production with minimal guidance.You stay relentlessly current on new AI research and can evaluate emerging models with a strong sense for what will materially impact mobile gaming.You balance deep technical excellence with pragmatism—knowing when to build from scratch, when to leverage open-source models, and when to adapt cutting-edge research.