Mirage
Software Engineer, ML Systems
Union Square, New York City · Full-time
Sponsorship not specifiedDetected 9 days ago
Machine LearningLLMsRAGAgentic AIA/B TestingSystems EngineeringResearchProblem Solving
About the role
- Software Engineers on the agents team work across product, machine-learning, and systems engineering - owning meaningful problems end-to-end and helping define how our agents are built and deployed across the product.
Responsibilities
- Build and ship end-to-end agentic systems that meaningfully improve creative workflows, balancing quality, performance, and reliability
- Design agent architectures - how agents gather context, plan, select tools, and execute creative tasks reliably at scale
- A track record of designing and developing ML systems or agentic pipelines in production
- Experience building evaluation systems and agentic infrastructure (context gathering, tool selection, multi-step planning)
- Able to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-end
Requirements
- Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving space
- You have worked with multi-agent architectures
- You have experience fine-tuning LLMs for specific use cases
- You have a pulse on where generative media and agentic AI technology is going
- You are grounded, collaborative, and willing to do whatever it takes to help the team win
- You have been a startup founder or an early engineer at one
- Deep experience with context engineering: RAG systems, token optimization, context management at scale
Compensation
- Multiple team offsites per year with team events every month
Benefits
- Comprehensive medical, dental, and vision plans
- Commuter Benefits
- Dinner stipend every night if you're working late and want a bite!
- Health & Wellness Perks
- Generous PTO policy
- Please note benefits apply to full time employees only.
Company info
- Mirage is an AI-native video platform that intelligently orchestrates production and editing through natural language.
- Our models leverage contextual awareness to execute the same creative decisions a professional editor would - dramatically improving productivity for experienced teams, while making video creation accessible to anyone.
- We're an interdisciplinary team addressing some of the most difficult technical and creative challenges in generative media.
- As an early member of our team, you'll tackle foundational problems that remain largely unsolved across the industry, driving an outsized impact on the future of creative expression.
- More about us
- Product https://mirage.app/captions (Captions by Mirage)
- Research https://arxiv.org/abs/2506.08279 (Seeing Voices, technical-white-paper)
- Updates https://x.com/trymirage (Mirage on X / twitter)
- TechCrunch https://techcrunch.com/2026/03/24/mirage-raises-75m-to-continue-building-models-for-its-ai-video-editing-app-captions/, Forbes AI 50 https://www.forbes.com/companies/captions/?list=ai50, Fast Company https://www.fastcompany.com/91270234/video-most-innovative-companies-fast-company-2025-youtube-roku-tubi-vimeo-captions-descript-cour-procreate-synthesia-beeble (press)
- Our Investors
- We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, General Catalyst, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.
- Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square)
This listing is sourced directly from Mirage's careers page and normalized into a canonical job model.