Machine Learning Engineer, 6+ Years Experience at Twelve Labs

San Francisco, California, United States

Twelve Labs Logo
$225,000 – $325,000Compensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Artificial Intelligence, SoftwareIndustries

Requirements

Candidates should have 6+ years of relevant industry experience, demonstrated experience as a technical lead to deliver projects end to end, strong Python expertise, and considerable prior work history with at least one statically typed language (such as Golang). Experience with modern ML frameworks like PyTorch and Tensorflow is preferred, as is experience scaling ML systems and/or data infrastructure to workloads of petabyte+ scale. A PhD or Master’s degree in machine learning or a related discipline may be required.

Responsibilities

As a Machine Learning Engineer, you will drive ML systems and platform engineering efforts, scaling training and inference systems, mentoring junior engineers, building libraries and services, leading technical initiatives from ideation to execution, and delivering industry-leading applied research solutions. You will also work across teams to manage project priorities, evaluate trade-offs, and optimize model performance through techniques like VLM finetuning, auto-labeling, and model-based filtering. Finally, you will contribute to acquiring, filtering, and sanitizing large-scale datasets for LLM/VLM pretraining.

Skills

Machine Learning
Model Deployment
Inference
System Engineering
Video-Language Modeling
Software Engineering
Mentoring
Code Quality
Engineering Best Practices

Twelve Labs

AI system for video content understanding

About Twelve Labs

Twelve Labs focuses on artificial intelligence and video understanding by developing a system that analyzes videos to extract key features like actions, objects, and speech. This information is transformed into vector representations, enabling fast semantic search within large video datasets. The company differentiates itself by providing a platform that is faster and more effective than many existing models, allowing developers and product managers to easily integrate its technology through an API. Twelve Labs aims to make all videos searchable, enhancing the way businesses utilize video content.

San Francisco, CaliforniaHeadquarters
2021Year Founded
$104.2MTotal Funding
EARLY_VCCompany Stage
Enterprise Software, AI & Machine Learning, EducationIndustries
51-200Employees

Risks

Increased competition from emerging AI startups in video understanding.
Rapid AI advancements require continuous innovation, straining resources.
Potential over-reliance on key investors like SK Telecom and Databricks.

Differentiation

Twelve Labs offers a comprehensive AI system for multimodal video understanding.
Their technology transforms video content into vector representations for fast semantic search.
The platform's API allows easy integration into clients' systems with minimal effort.

Upsides

Growing demand for AI-driven video analytics in education, healthcare, and security sectors.
Recent $30 million funding enhances technology development and strategic partnerships.
Collaboration with cloud providers boosts scalability and efficiency of video processing.

Land your dream remote job 3x faster with AI