Applied Scientist, Machine Learning

Job Description Captions is the AI-powered creative studio. Millions of creators around the world have used Captions to make their video content stand out from the pack and we're on a mission to empower the next billion. Based in NYC, we are a team of ambitious, experienced, and devoted engineers, designers, and marketers. You'll be joining an early team where you'll have an outsized impact on both the product and company's culture. We’re very fortunate to have some of the best investors and entrepreneurs backing us, including Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, Lenny Rachitsky, and more. Check out our latest milestone and our recent feature on the TODAY show and the New York Times. ** Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) ** What we do On the surface, Captions enables creators to generate, edit, and post videos to any platform with ease — but behind-the-scenes, we’re building multi-modal foundational models to enable features like text-to-video, avatar generation, video-to-video translation, talking face generation, 3D reconstruction and more. Our Machine Learning team is working on the latest in video diffusion, tracking, nerfs, gaussian splatting, and more. Responsibilities Architect, develop, and train new models and algorithms based on cutting-edge research, with a focus on generative computer vision and video technologies. Explore new areas and methods by conducting research and experiments with advanced neural networks, implementing novel techniques tailored for video and avatar generation. Partner with machine learning engineers to translate research breakthroughs and new model architectures into practical applications that enhance our products and services. Stay current with the latest research and advancements in the field of machine learning and computer vision. Preferred Qualifications PhD in computer science or related field and 3+ years of industry experience. Publication Record: Highly relevant publication history with a focus on computer vision. Specializations can include Diffusion, Video Generation, NeRFs, Gaussian Splatting, GANs, etc. (ideal candidates will have served as the primary author on these publications). Expertise in Deep Learning: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, with hands‑on experience in designing, training, and implementing generative models. Strong understanding of Computer Science fundamentals (algorithms and data structures). Benefits Comprehensive medical, dental, and vision plans 401K with employer match Anything you need to do your best work We’ve done team off‑sites to places like Paris, London, Park City, Los Angeles, Upstate NY, and Nashville with more planned in the future Captions 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: $160K - $210K #J-18808-Ljbffr