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Build, operate, and own backend systems, services, APIs, data pipelines, and infrastructure. Solve distributed systems, scaling, concurrency, and performance challenges. Integrate and serve large generative AI models in production, instrument systems, and iterate to improve product quality while partnering with product, design, client, and AI teams.

Responsible for managing user acquisition campaigns across paid channels, optimizing performance, and analyzing outcomes to drive growth.

Design and build end-to-end agentic systems for short-form video, integrating state-of-the-art models, managing context and planning, measuring agent quality in production, and improving workflows through evaluation and iteration.

Build and scale video generation models and infrastructure: train and optimize large multimodal models, improve training and inference efficiency, implement acceleration techniques (distillation, quantization, pruning), maintain distributed training systems, optimize GPU utilization and low-latency inference, and productionize research models with tooling for evaluation and debugging.

Develop and deploy agentic ML systems for multimodal video tasks: design objectives and datasets, fine-tune LLMs, run experiments, evaluate agent workflows, analyze failure modes, and improve reasoning and control for real-world video editing and analysis.

As a Software Engineer, you'll develop end-to-end experiences for creative workflows, focus on user interface performance, and integrate AI models for enhancing video production. You're expected to own features and manage projects in a fast-paced environment, utilizing full-stack development skills.

Build and ship end-to-end iOS creative workflows, collaborating with designers to create advanced video/audio processing and graphics interfaces, instrumenting and iterating with production data in a fast-paced startup.

The Lifecycle Marketing Lead will manage the customer journey and lifecycle programs for Captions' products, enhancing onboarding and retention through various channels. This includes partnering with multiple teams to optimize campaign performance based on analytics and insights.

As an early career software engineer at Mirage, you will develop and improve systems for AI-driven video production, working on backend, product, or applied AI teams.

The role involves managing the complete recruitment process for Engineering and Product teams, focusing on innovative sourcing strategies and improving hiring efficiency while ensuring a positive candidate experience.