Machine Learning Engineering, Captions
Model Training
$170-250k
Offers Equity
5 days a week in office (Union Square, NY)
AI-powered creative studio
Be an early applicant
AI-powered creative studio
21-100 employees
Be an early applicant
$170-250k
Offers Equity
5 days a week in office (Union Square, NY)
21-100 employees
Company mission
To empower our customers, regardless of background or experience, with the ability to bring their vision to life in seconds.
Role
Who you are
- Bachelor’s or Master’s degree in Computer Science, Data Engineering, Machine Learning, or a related field
- 3+ years of professional experience in software engineering, data engineering, or ML infrastructure development
- Strong programming skills, particularly in Python, with proven experience with data pre-processing and feature engineering, ideally within video or image data contexts
- Professional experience working with large-scale data processing frameworks, deep-learning systems, offline model training workflows, data loaders, and cluster infrastructure
What the job involves
- We’re seeking a skilled Machine Learning Engineer to join our AI Research team and build the data infrastructure that powers the training of cutting-edge video generation models
- In this role, you’ll develop offline jobs dedicated to training large generative models, manage training cluster code, and create data loaders to handle large-scale video datasets
- Being an early member of our AI Research team will give you the opportunity to build foundational, state-of-the-art machine systems 0 to 1
- Design and develop robust data pipelines to support the efficient handling and processing of video data, ensuring high-quality data input for model training
- Build and optimize systems for video frame extraction and other pre-processing steps to prepare data for training workflows
- Create and manage data loaders for large-scale video datasets, focusing on speed and efficiency to support various model training requirements
- Implement feature engineering techniques that enhance data quality and diversity, aiding in model accuracy and performance
- Collaborate with research and engineering teams to scale data infrastructure and enable seamless experimentation and model iterations
- Write and maintain cluster code to support high-performance training operations, including resource allocation and management
Our take
As AI integration grows in creative fields, concerns arise about the future of professions like writing and design. However, Captions has transformed these anxieties into opportunities by harnessing AI technology to streamline the creative workflow.
By automating tasks in music, graphic design, and video production, Captions allows users to generate compelling content directly from their mobile devices. With a focus on meeting the rising demand for captivating digital content, its subscription-based model covers key processes like captioning, editing, dubbing, and soundtracking.
Captions' innovative approach has garnered attention, securing funding from tech giants like Sequoia Capital and Andreessen Horowitz. This investment will grow the company's machine learning team and invest further into in-house research efforts and technical infrastructure.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Some candidates hear
back within 2 weeks
61% employee growth in 12 months
Company
Funding (2 rounds)
Jul 2024
$60m
SERIES C
Jun 2023
$25m
SERIES B
Total funding: $85m
Company benefits
- Comprehensive medical, dental, and vision plans
- Anything you need to do your best work
- We’ve done team off-sites to places like Paris, London, Park City, Los Angeles, and Nashville with more planned in the future
Company HQ
Civic Center, New York, NY
Articles
Leadership
Gaurav Misra
(CEO)Previously the Head of Design Engineering at Snap Inc, Senior Software Engineer at Localytics, Software Development Engineer at Microsoft, and Software Engineer at Lattice Engines.
Salary benchmarks
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