What are the responsibilities and job description for the Software Engineer, Applied AI position at Mirage?
Mirage is the leading AI short-form video company. We’re building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage’s products to reach their full creative and commercial potential.We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you’ll have an opportunity to have an outsized impact on our products and our company's culture.Our ProductsCaptionsMirage StudioOur TechnologyAI Research @ MirageMirage Model AnnouncementSeeing Voices (white-paper)Press CoverageTechCrunchLenny’s PodcastForbes AI 50Fast CompanyOur InvestorsWe’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, 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) We do not work with third-party recruiting agencies, please do not contact us** About the roleThis role focuses on designing and building intelligent systems that power creative workflows for short-form video. You’ll help shape how AI-driven experiences reduce friction, accelerate learning, and unlock new creative possibilities for our users—while experimenting with emerging models and techniques to bring these experiences to life in production. Applied AI engineers work across product, machine-learning, and systems engineering—owning meaningful problems end-to-end and helping define how our models are used across the product.ResponsibilitiesBuild and ship end-to-end AI-powered products and systems that meaningfully improve creative workflows, balancing quality, performance, and reliabilityIntegrate state-of-the-art models, combining internal research and external capabilities to unlock new product experiencesMeasure and improve system quality in production, using experimentation, evaluation frameworks, and real-world feedback to guide iterationDesign the systems that support intelligent behavior, including how models gather context, make decisions, and operate efficiently at scaleWhat Makes You a Great Fit5 years of professional industry experienceA track record of designing and developing ML systems in productionDeep experience with context engineering: RAG systems, token optimization, context management at scaleExperience building evaluation systems and agentic infrastructure (context gathering, tool selection)Exceptional problem solving fundamentals and ability to learn quickly in a rapidly evolving spaceAble to operate effectively in an extremely fast-paced environment and scope and deliver projects end-to-endEven better if...You have worked with multi-agent architecturesYou have experience fine-tuning LLMs for specific use casesYou have a pulse on where generative media and agentic AI technology is goingYou are grounded, collaborative, and willing to do whatever it takes to help the team winYou have been a startup founder or an early engineer at oneBenefits: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 Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)Multiple 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.Compensation Range: $185K - $285K
Salary : $185,000 - $285,000