Research Engineer, Machine Learning

Captions is the leading video AI company, building the future of video creation. Over 10 million creators and businesses have used Captions to create videos for social media, marketing, sales, and more. We're on a mission to serve the next billion.

We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. You'll join an early team and have an outsized impact on the product and the company's culture.

We’re very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures (Series C lead), Kleiner Perkins (Series B lead), Sequoia Capital (Series A and Seed co-lead), Andreessen Horowitz (Series A and Seed co-lead), Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more.

Check out our latest financing milestone and some other coverage:

The Information: 50 Most Promising Startups

Fast Company: Next Big Things in Tech

The New York Times: When A.I. Bridged a Language Gap, They Fell in Love

Business Insider: 34 most promising AI startups

** 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

• Commuter Benefits

• Catered lunch multiple days per week

• Dinner stipend every night if you're working late and want a bite!

• Doordash DashPass subscription

• Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc)

• Multiple team offsites per year with team events every month

• Generous PTO policy and flexible WFH days

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 - $250K