Software Engineer, ML Infrastructure

Who We Are

At TwelveLabs we are pioneering the development of frontier multimodal foundation models that can see hear and understand the world as humans do. Our models have redefined the standards in video-language modeling allowing developers to build programs with state-of-the-art semantic search summarization and analysis capabilities.

TwelveLabs has raised $107 million in Seed Series A funding from world-class VC & corporate partners : NVIDIA NEA Radical Ventures Index Ventures Snowflake and Databricks. Our advisory team features AI visionaries and founders such as Fei-Fei Li Silvio Savarese Alexandr Wang and more. Headquartered in San Francisco with an influential APAC presence in Seoul our global footprint underscores our commitment to driving worldwide innovation.

About The Role

As a Software Engineer ML Infrastructure at TwelveLabs you will drive our ML systems platform engineering efforts in all facets of our e2e ML & engineering workflows. Delivering highly reliable low latency high throughput services is the essence of the role. This role is a perfect fit for experienced engineers with some past machine learning experience who want to go deep on unsolved problems in multimodal AI systems orchestration operations and deployment.

In This Role You Will :

Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant low latency systems

Craft performant APIs using modern Python tools

Build the highest impact not the flashiest libraries and services

Mentor junior engineers / researchers and hold a high bar around code quality / engineering best practices

Lead by example in interviewing hiring and onboarding passionate and empathetic engineers

You May Be A Good Fit If You Have :

6 years of relevant industry experience

Designed production services using Python Postgres FastAPI SQLAlchemy Pydantic (and friends)

Demonstrated experience as a technical lead to deliver projects end to end

Exposure to machine learning models in production environments (e.g. deployment serving lifecycle management monitoring)

Strong Candidates May Also Have Experience :

Scaling ML systems and / or data infrastructure to workloads of petabyte scale

Building Kubernetes-based systems for distributed data / ML workflows

Interview Process

1) Recruiter Phone Screen

2) Initial Technical Assessment

3) Hiring Manager Interview

4) Onsite Technical Interview In-Person

5) Final Interview : Culture

Even if there are a few checkboxes that arent ticked through your prior experience we still encourage you to apply! If you are a 0-1 achiever a ferocious learner and a kind and fun team player who motivates others you will find a home at TwelveLabs.

We are a global company that values the uniqueness of each persons journey. It is the differences in our cultural educational and life experiences that allow us to constantly challenge the status quo. We are looking for individuals who are motivated by our mission and eager to make an impact as we push the bounds of technology to transform the world. Join us as we revolutionize video understanding and multimodal AI.

Benefits and Perks

An open and inclusive culture and work environment.

Work closely with a collaborative mission-driven team on cutting-edge AI technology.

Full health dental and vision benefits.

Flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.

VISA support (such as H1B and OPT transfer for US employees).

Key Skills

Jenkins,Ruby,Python,Active Directory,Cloud,PowerShell,Windows,AWS,Linux,SAN,Java,Troubleshoot,Backup,Puppet,hardware

Employment Type : Full-Time

Experience : years

Vacancy : 1

Monthly Salary Salary : 225 - 325