Description
Who we are
At Twelve Labs, we are pioneering the development of cutting-edge multimodal foundation models that have the ability to comprehend videos just like humans do. Our models have redefined the standards in video-language modeling, empowering us with more intuitive and far-reaching capabilities, and fundamentally transforming the way we interact with and analyze various forms of media.
With a remarkable $77 million in Seed and Series A funding, our company is backed by top-tier venture capital firms such as NVIDIA’s NVentures, NEA, Radical Ventures, and Index Ventures, and prominent 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.
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.
About the role
As an ML Research Engineer at Twelve Labs, you will drive our applied efforts in video embedding and retrieval, multimodal language modeling, and intelligent agents. You will collaborate closely with other engineers and scientists to build the next generation of Twelve Labs models, services, and infra. Scaling our models, data, and training + inference platform, while improving the reliability of our core systems, is the essence of the role. This role is a perfect fit for research minded engineers who want to build SOTA video, vision, and video-language modeling systems!
In this role, you will
- Deliver top-notch applied research solutions to problems like VLM finetuning, auto-labeling of video-text datasets, and model-based filtering of said datasets to optimize (end-)model performance
- Collaborate with our science org to optimize the (e.g.) training/inference performance of our core model stack
- Define a systematic prompt generation and selection strategy for our flagship VLM
- 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
- Work across teams to understand and manage project priorities and product deliverables, evaluate trade-offs, and drive technical initiatives from ideation to execution to shipment
- Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems
You may be a good fit if you have:
- 10+ years of industry experience (or 7+ with a PhD in a related technical domain)
- A PhD, or a Master's degree, in machine learning or a closely related discipline
- Led teams of 5+ engineers as a technical lead, or formally managed engineering teams comprised of both junior and senior engineers
- Published research/engineering work on LLMs, VLMs, video models, or contrastive multimodal models in top-tier AI conferences such as NeurIPS, ICML, ICLR, etc., or have scaled distributed foundation model data acquisition, training, inference, evaluation, etc.
- Expertise optimizing model inference with TensorRT, ONNX, Triton Inference Server, or directly related technologies
- Built Kubernetes-based systems for distributed data/ML workflows or worked extensively with HPC tools such as Slurm
- A passion for, and experience in, both ML modeling and ML/AI systems software engineering
- Strong Python expertise and considerable prior work history with at least one statically typed language (we use Golang)
- An applied bent / are not a pure theoretician: we are an applied science and engineering group at an applied science and engineering company!
- Strong communication skills in written and spoken English
Interview and Onboarding Process:
1) Recruiter Phone Screen
2) Initial Technical Assessment
3) Final round technical assessment & culture interview
4) Reference Checks
We're also excited to share that we'll do global onboarding in Seoul for all new hires (paid company travel!).
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-to-1 achiever, a ferocious learner, and a kind and fun team player who motivates others, you will find a home at Twelve Labs.
We welcome applicants from all walks of life and are committed to equal-opportunity employment. We cherish and celebrate diversity not just because it is the right thing to do, but because it makes our company much stronger.
Benefits and Perks
🤝 An open and inclusive culture and work environment.
🧑💻 Work closely with a collaborative, mission-driven team on cutting-edge AI technology.
✈️ Extremely flexible PTO and parental leave policy. Office closed the week of Christmas and New Years.
🏙 Remote-flexible, offices in San Francisco and Seoul and coworking stipend.
Other Jobs from Twelve Labs
Tech Lead, Head of Supercomputing & Training Infra
San Francisco, CA
Seoul, South Korea
Software Engineer, Testing Infrastructure
Seoul, South Korea
Remote Hybrid
Software Engineer, Frontend
Seoul, South Korea
Remote Hybrid
Software Engineer, Data
San Francisco, CA
US
Software Engineer, Backend
Seoul, South Korea
San Francisco, CA
ML Research Engineer
Seoul, South Korea
San Francisco, CA
Similar Jobs
Software Engineer - Machine Learning Infrastructure
Redwood City, CA
US
Staff Machine Learning Scientist, Intern - Summer 2025
Foster City, CA
US
Technical Director, Machine Learning Programmer
Vancouver, British Columbia
Canada
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 401 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- Salaries for the engineering jobs on our site range from $100K-$200K. On average, senior engineer positions on our EchoJobs are about $160K.
- The EchoJobs positions have been sourced and vetted from the top companies to work for in the US as a software engineer, including LinkedIn and other reputable job sites. We also have syndicated jobs from companies that have just raised funding, as well as those that have great unique products and culture. From all of these sources, our founder, Morgan, has also resourced the company's authenticity in terms of their website, public appearance, and more.
- Yes, our users asked us for just this, so now our search filters allow you to search for your top jobs via location, as well as by onsite, remote, or both. Approximately 30% of our jobs are remote, so you’ve got the best options for you!
- We have not yet implemented this option, but are considering doing so in the future. For the moment, you would need to cancel your subscription, and resubscribe when you wanted to come back.
- We add new jobs to EchoJobs every day! We scan our sources for the newest jobs, verify them, and post them to EchoJobs within minutes. We add about 2,000-3,000 new jobs for you each day!
- From starting your job search to getting hired, the entire job search process can take us software engineers anywhere between 3-6 months. However, at EchoJobs, we’re striving to shorten this duration by finding the best, newest jobs for you, so you can do less job searching, and more applying.
- We’d recommend checking EchoJobs daily, as we add new jobs to the site each day. Additionally, if you got a chance to read our previous email on “what makes EchoJobs different from any other job search tools,” we also recommended that you set a job alert based on your job filters, so if you get emails on those new jobs, you could be checking more than once per day.
- If you decide to continue with us after the 1-month trial, we definitely recommend this, as we all know it usually takes 3-6 months to find a quality job as a software engineer these days. So to best support you, we just adjusted our membership options at EchoJobs to monthly, 3 months, or 12 months (this option is more for passive job seekers looking a little bit for the future if they want to come back to work or make a job switch potentially. This lets you see what’s out there in case an even better fit job becomes available.)
- EchoJobs is truly the only job site of its kind. We want to be THE spot for you to find the best job for you, and haven’t encountered any other company doing this. Other job sites are in niches besides software engineering or focus on a small portion of engineering jobs (like a specific coding language). In the words of Morgan, our founder, “I think what makes EchoJobs different is the amount of jobs, frequency that we add new jobs (we add 2,000-3,000 new jobs daily!), and the powerful search engines to find exactly the job you want more easily and efficiently. We can provide you with the most jobs that are vetted by us, we’ll continually find more new jobs for you, and we make it easier for you to apply and get hired.
What Fellow Engineers Say