Machine Learning Engineer (5+ years of experience) Job at Captions, New York, NY

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  • Captions
  • New York, NY

Job Description

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

Time: The Best Inventions of 2024

** 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 role:
Captions is seeking a Machine Learning Engineer to partner closely with our Researchers and bring large-scale multimodal video diffusion models into production. You’ll be responsible for optimizing and deploying state-of-the-art generative models (tens to hundreds of billions of parameters) to deliver low-latency, high-throughput inference at scale. This is a unique opportunity to work on cutting-edge AI—spanning audio-video generation, diffusion architectures, and temporal modeling—and ensure these innovations reach millions of creators worldwide.

Responsibilities:

  • Inference & Deployment

  • Model Optimization & Fine-Tuning

  • Production MLOps

  • Performance & Scaling

Requirements:

  • Technical Expertise

  • Model Optimization

  • Infrastructure

  • Domain Experience

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

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

$170K – $230K • Offers Equity

The successful candidate's starting compensation will be determined based on their skills, experience, qualifications, and market conditions. Please know that this pay range may be modified in the future.

Job Tags

Full time, Local area, Worldwide, Night shift,

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