Appier jobs

Appier is seeking a Machine Learning Scientist (Modeling & Evaluation) to join the Enterprise Solution Science Team. This role focuses on helping enterprises leverage AI to achieve tangible ROI. You will be responsible for the complete development lifecycle of solutions, from initial problem definition through to driving models and solutions into production. This involves designing, developing, and deploying optimization solutions powered by machine learning models and rigorous evaluation techniques to enhance efficiency and quality.

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Appier is seeking a Machine Learning Engineer for their Playable Ads team to transform promising AI models and prototypes into reliable, scalable creative-generation systems for real-world products. This role blends applied machine learning with software engineering, requiring collaboration with scientists, engineers, product managers, and designers to build and improve ad creative generation pipelines. You will focus on ensuring these systems meet production standards for quality, latency, cost, observability, and reliability, ultimately driving higher engagement and conversion for apps and games worldwide.

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Appier is seeking a Senior Machine Learning Scientist to join their Advertising Cloud Optimization team. This team is responsible for developing core machine learning algorithms that enhance campaign efficiency and advertiser ROI on a large-scale programmatic advertising platform. The role involves improving models for bidding, pricing, and personalized content delivery, ensuring system robustness and scalability in a dynamic market.

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Appier is seeking a Senior Machine Learning Scientist to join our Advertising Cloud Optimization team. This team is responsible for developing core machine learning algorithms that drive campaign efficiency and advertiser ROI on our programmatic advertising platform. This platform operates at a massive scale, handling millions of queries per second, powered by proprietary deep learning models for bidding, pricing, and personalized content delivery. In this role, you will directly impact the efficiency and profitability of ad campaigns by improving models for bidding, pricing, and personalized content recommendation, while ensuring system robustness and scalability in a dynamic market environment.

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Appier is seeking a Machine Learning Scientist specializing in LLMs and Agents to join the Enterprise Solution Science Team. This role involves applying advanced ML technologies to marketing challenges, leveraging omnichannel customer data. You will be responsible for the entire lifecycle of agent features, from initial concept and design through to production deployment, quality measurement, and ongoing improvement. The team focuses on developing AI agents that can automate marketing tasks, generate business strategies, answer complex data-driven questions, and enhance sales and customer service interactions.

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Appier is seeking a Research Scientist to work at the forefront of generative and agentic AI. This role involves advancing Large Language Models (LLMs), Vision-Language Models (VLMs), and AI agents capable of reasoning, planning, and tool utilization for real-world problem-solving. Your research will encompass post-training techniques, reasoning, multimodal intelligence, and autonomous agentic systems. You will play a key role in shaping Appier's core AI capabilities, contributing to publications at top AI/ML conferences, and collaborating with scientists and engineers to translate cutting-edge research into impactful products.

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We are seeking a Senior Security Engineer to join our growing security team. As we continue building AI-powered services that deliver tremendous value to our customers worldwide, and given the rapid pace of our business growth, we are looking for experienced and capable talent to strengthen cybersecurity across all stages of product development and to collaborate closely with our software engineering teams. You will also play a key role in driving information security initiatives and integration efforts across the group, including addressing the emerging risks introduced by rapid advancements in AI technologies.

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