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Research Engineer, Machine Learning
2 months ago
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 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:
Train, implement, and deploy machine learning models that drive product innovation and solve complex real-world problems.
Apply scientific principles to implement state-of-the-art algorithms and solutions for generative computer vision and video technologies.
Experiment with and optimize advanced neural network architectures for improved performance and efficiency.
Collaborate with cross-functional teams to integrate ML models into scalable systems and services impacting millions of users.
Stay current with the latest research and advancements in the field of machine learning and computer vision.
Preferred Qualifications:
Masters in computer science or related field and 3+ years of industry experience.
Strong academic background with a focus on computer vision and hands-on experience implementing generative models. Specializations can include Diffusion, Video Generation, NeRFs, Gaussian Splatting, GANs, etc.
Expertise in Deep Learning: Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or similar, with hands-on experience in 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.
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