Search the 9 jobs at Pika

As a product design lead at Pika, you will lead the UI/UX design process, collaborate with product managers and engineers, conduct user research, maintain design systems, and ensure a seamless user experience across products.

The Full-Stack Engineer will lead the development of web and mobile applications, architect backend systems for scalability, and enhance product features. The role requires dealing with a variety of engineering tasks, collaborating with teams, and solving complex challenges in a dynamic environment.

The Finance Operations Specialist is responsible for overseeing payment processes, managing billing operations, and ensuring compliance with expense policies. The role includes contributions to financial reporting, budgeting, and forecasting, while optimizing procurement and payroll operations.

The Research Scientist will develop and train generative AI models across various modalities, optimize models using reinforcement learning, and innovate training techniques on distributed systems. Responsibilities include curating datasets for pretraining and fine-tuning essential for advancing foundational models.

The Core Product Manager will define the vision and strategy for the core product, conduct user research, drive feature development, and collaborate with engineering and design teams. Responsibilities include monitoring performance indicators and ensuring effective project execution to enhance user engagement.

As a Research Engineer, you will design and implement innovative generative AI features, collaborate with product and research teams, and build tools to evaluate and improve model performance using large-scale GPU systems.

As a Research Engineer, you will contribute to the development of multimodal foundation models, optimizing algorithms for performance and scalability, and managing large-scale data clusters. You'll collaborate with cross-functional teams and focus on innovative solutions in AI research.

The Senior Distributed Systems Engineer will collaborate with researchers to build and optimize platforms for training large foundation models on GPU clusters. Responsibilities include scaling systems, optimizing training code, developing workload distribution systems, and enhancing high-performance computing for model training and inference.

The Senior Research Engineer (Data) will lead data acquisition and management systems essential for AI research, develop pipelines for dataset preparation, collaborate with teams to enhance dataset quality, and drive improvements in data quality for video generation models.