Job Description
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 aren’t 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 person’s 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).