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The Research Engineer will design and implement generative AI features, collaborating with teams to optimize machine learning models. Responsibilities include dataset creation, model evaluation, and developing tools to assess model performance, aimed at enhancing AI capabilities in products.
The Research Engineer will lead research in multimodal foundation models, design innovative algorithms, and optimize models for production environments. They will manage large-scale data clusters and collaborate with cross-functional teams to drive impactful research projects in Generative AI.
As a Senior Research Engineer, you will lead data acquisition and management for AI research, developing efficient data pipelines and enhancing dataset quality through innovative methods in collaboration with research and annotation teams.
The Senior Distributed Systems Engineer will optimize machine learning platforms on GPU clusters, enhance training code performance, and support robust model training under hardware failures. Responsibilities include distributing workloads, optimizing inference, and collaborating with researchers to advance generative AI technologies.
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 Manager will oversee billing operations, manage expense policies, optimize procurement processes, administer payroll, and facilitate employee reimbursements. The role includes contributions to financial reporting, budgeting, and forecasting while ensuring compliance and driving efficiency across financial operations.
This role involves developing and training generative AI models across various modalities, optimizing models via reinforcement learning, and innovating efficient techniques on large-scale distributed systems. Key responsibilities include curating datasets for model pretraining and fine-tuning.