Machine Learning Model Developer

6 days ago


New York, New York, United States Captions Full time
About Captions

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 are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC.

Our mission is to serve the next billion, and we're on a path to achieve this goal by leveraging cutting-edge technologies like deep learning and computer vision.

We're backed by top investors and entrepreneurs, including Index Ventures, Kleiner Perkins, Sequoia Capital, and Andreessen Horowitz.

Leverage 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

Time: The Best Inventions of 2024

Please note that all of our roles require you to be in-person at our NYC HQ (located in Union Square).

About the Role

As a Machine Learning Research Engineer at Captions, you'll work on 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.

You'll be responsible for training, implementing, and deploying machine learning models that drive product innovation and solve complex real-world problems.

  • Develop and train 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.

Requirements:

  • 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.
  • 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 working late.
  • 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.

We provide equal employment opportunities to all employees and applicants for employment and prohibit 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.

Estimated salary range: $160,000 - $250,000.



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