Jobs at Mirage

Build and ship native iOS video and creative tools involving user interfaces, graphics rendering, and audio/video processing. Collaborate with designers and the broader team, own projects end to end, and use production data for instrumentation, A/B testing, and rapid iteration. The role requires strong software engineering fundamentals, practical judgment, and experience delivering high-impact mobile products in production.

Build and own backend services, APIs, data pipelines, infrastructure, and ML systems powering an AI-native video platform. Solve distributed systems, scaling, concurrency, and performance challenges; deploy and operate generative AI models; integrate third-party providers; and improve product quality through production instrumentation and experimentation. The role partners across product, design, client, and AI teams and requires end-to-end ownership in a fast-paced, in-person NYC environment.

Design and build production agentic systems for creative video workflows. Responsibilities include architecting agents that gather context, plan, select tools, and execute tasks; integrating advanced models; and improving quality through experimentation, evaluation, and production feedback. The role spans product, machine learning, and systems engineering, with end-to-end ownership of agent infrastructure and experiences.

Develop and optimize performance advertising campaigns across paid social platforms. Source, negotiate with, and manage global creators; prepare creative briefs; guide ad production; analyze campaign data; and collaborate with product, design, creative, and performance teams to improve full-funnel growth outcomes.

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.

Develop agentic systems powered by large language models for multimodal creative tasks, especially video analysis and editing. Responsibilities include creating training objectives, datasets, fine-tuning strategies, evaluation frameworks, and structured-generation methods; improving reasoning, tool use, control, and reliability; running systematic experiments; and analyzing failure modes across planning, execution, and deployment. The role requires strong ML engineering experience, knowledge of transformers and modern LLM techniques, and ownership across model experimentation and production agent systems.

Lead end-to-end product design for an AI-native video creation platform. Partner with executives, product, and engineering to shape strategy, frame complex problems, develop interaction paradigms, prototype solutions, and ship polished experiences. Build and scale design systems, conduct qualitative and quantitative research, influence product decisions, mentor designers, and champion user-centered design while balancing technical and business constraints.

Lead the product vision and strategy for an AI-native video creation platform while managing and developing Product Managers. Translate generative media capabilities into reliable creative workflows, own products from discovery through iteration, evaluate model and product quality, build user and data feedback loops, and partner with research, engineering, design, marketing, growth, and support on launches and distribution.

Train and optimize large-scale video and multimodal models; improve training and inference efficiency; apply distillation, quantization, and pruning; build distributed training systems; optimize GPU utilization and throughput; develop tooling for experimentation and debugging; productionize research models and monitor real-world performance.

Own full-cycle technical recruiting for Engineering and Product teams, source and engage passive talent, partner with hiring managers, negotiate offers, and improve hiring processes and candidate experience while building diverse pipelines.

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.