Full-Time

Machine Learning Engineering

Training Data Infrastructure

Confirmed live in the last 24 hours

Captions

Captions

51-200 employees

Video captioning and translation services

Consumer Software
Entertainment

Mid

New York, NY, USA

Requires in-person presence at NYC HQ located in Union Square.

Category
Applied Machine Learning
Computer Vision
AI & Machine Learning
Required Skills
Python
Requirements
  • Bachelor's or Master's degree in Computer Science, Machine Learning, or related field
  • 3+ years experience in ML infrastructure development or large-scale data engineering
  • Strong programming skills, particularly in Python and distributed computing frameworks
  • Expertise in building and optimizing high-throughput data pipelines
  • Proven experience with video/image data pre-processing and feature engineering
  • Deep knowledge of machine learning workflows, including model training and data loading systems
  • Track record in performance optimization and system scaling
  • Experience with cluster management and distributed computing
  • Background in MLOps and infrastructure monitoring
  • Demonstrated ability to build reliable, large-scale data processing systems
Responsibilities
  • Build performant pipelines for processing video and multimodal training data at scale
  • Design distributed systems that scale seamlessly with our rapidly growing video and multimodal datasets
  • Create efficient data loading systems optimized for GPU training throughput
  • Implement comprehensive telemetry for video processing and training pipelines
  • Create foundation data processing systems that intelligently cache and reuse expensive computations across the training pipeline
  • Build robust data validation and quality measurement systems for video and multimodal content
  • Design systems for data versioning and reproducing complex multimodal training runs
  • Develop efficient storage and compute patterns for high-dimensional data and learned representations
  • Own and improve end-to-end training pipeline performance
  • Build systems for efficient storage and retrieval of video training data
  • Build frameworks for systematic data and model quality improvement
  • Develop infrastructure supporting fast research iteration cycles
  • Build tools and systems for deep understanding of our training data characteristics
  • Build infrastructure enabling rapid testing of research hypotheses
  • Create systems for incorporating user feedback into training workflows
  • Design measurement frameworks that connect model improvements to user outcomes
  • Enable systematic experimentation with direct user feedback loops

Captions.ai enhances video content by providing captioning and translation services tailored for content creators, social media influencers, marketing agencies, and businesses. Their main offerings include automatic subtitle generation, translation into 28 languages, and video compression to improve performance. These tools simplify the video production process, allowing users to produce professional-quality videos with ease. Unlike many competitors, Captions.ai operates on a freemium model, offering basic services for free while charging for advanced features, which helps attract a large user base and convert free users into paying customers. The company's goal is to make high-quality video content accessible to a wider audience, and recent funding will support their growth and product development.

Company Stage

Series C

Total Funding

$82.7M

Headquarters

New York City, New York

Founded

2021

Growth & Insights
Headcount

6 month growth

31%

1 year growth

-17%

2 year growth

433%
Simplify Jobs

Simplify's Take

What believers are saying

  • Captions secured $60M in Series C funding, indicating strong investor confidence.
  • The Lipdub app positions Captions as a leader in global video communication.
  • Captions' freemium model attracts a wide user base, facilitating growth.

What critics are saying

  • Increased competition from startups like Beeble AI could challenge Captions' market position.
  • Integration of AlpacaML may lead to cultural and operational challenges.

What makes Captions unique

  • Captions offers AI-powered video editing with automatic subtitles and language dubbing.
  • The acquisition of AlpacaML enhances Captions' creative tools for artists and creators.
  • Captions' expansion to web and desktop applications supports larger video files.

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