Engineering Manager, Machine Learning at Twelve Labs

San Francisco, California, United States

Apply Now

$225,000 – $325,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Artificial Intelligence, Machine Learning, TechnologyIndustries

Requirements

4+ years of experience leading ML / ML infra teams, with experience leading a team of six or more
8+ total years of experience in engineering
Demonstrated the ability to hire, mentor, and retain ML engineers
Passion for engineering best practices and the grit to uphold those standards even in the face of deadlines (through code review, culture building, etc.)
Deep experience with ML frameworks (i.e. PyTorch, Tensorflow)
Deep experience with the modern Python services stack, i.e. Python, Postgres, FastAPI, SQLAlchemy, Pydantic (and friends)

Responsibilities

Mentor, support, and uplevel your team of ML/research engineers
Grow your team through excellence in hiring and retention
Own technical execution and strategic planning, adapting to changes in product roadmaps and company priorities
Deliver top-notch applied AI solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and inferencing over petabytes of video

Skills

Key technologies and capabilities for this role

PyTorchTensorFlowPythonPostgresFastAPISQLAlchemyPydanticMachine LearningML Infrastructure

Questions & Answers

Common questions about this position

What is the salary range for the Engineering Manager, Machine Learning role?

The salary range is $225K - $325K.

Is this position remote or hybrid?

The position is hybrid.

What skills and experience are required for this role?

Candidates need 4+ years leading ML/ML infra teams of six or more, 8+ total years in engineering, ability to hire/mentor/retain ML engineers, passion for engineering best practices, and deep experience with ML frameworks like PyTorch/TensorFlow and the modern Python services stack including Python, Postgres, FastAPI, SQLAlchemy, and Pydantic.

What is the interview process like?

The process includes a Recruiter Phone Screen, Initial Technical Assessment, Hiring Manager Interview, Onsite Technical Interview [In-Person], and Final Interview: Culture.

What does the company background look like?

TwelveLabs is pioneering multimodal foundation models in video-language modeling, has raised $107 million from investors like NVIDIA and NEA, and features advisors such as Fei-Fei Li and Alexandr Wang; it's headquartered in San Francisco with an APAC presence in Seoul.

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

Try Jobo Free