Job Title

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 usProduct(Captions by Mirage) Research(Seeing Voices, technical-white-paper)Updates(Mirage on X / twitter)TechCrunch, Forbes AI 50, Fast Company (press)Our InvestorsWe'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) About the RoleMirage is seeking a Research Scientist to push the boundaries of large language models for multimodal creative tasks. You'll develop new approaches for adapting and extending LLMs to understand and operate over complex, real-world data, particularly videoThis role focuses on advancing model capabilities, improving reasoning and control, and enabling new forms of interaction between language and time-based media.ResponsibilitiesDevelop novel approaches for training and adapting large language modelsDesign new objectives, datasets, and fine-tuning strategiesExplore multimodal reasoning and structured generationRun systematic experiments to improve model behavior and reliabilityDesign evaluation frameworks for complex, real-world tasks in video analysisAnalyze failure modes and iterate on model improvementsWhat makes you a great fitMS/PhD in ML, CS, or related fieldStrong track record in LLMs, NLP, video understanding, or multimodal learningDeep understanding of transformers and modern LLM techniquesExperience with fine-tuning, alignment, or post-training methods, especially for adapting models to generate structured outputsStrong experimental rigor and research tasteBenefits:Comprehensive medical, dental, and vision plans401K with employer matchCommuter BenefitsCatered lunch multiple days per weekDinner stipend every night if you're working late and want a bite!Grubhub subscriptionHealth & Wellness PerksMultiple team offsites per year with team events every monthGenerous PTO policyCaptions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.Please note benefits apply to full time employees only.