TwelveLabs Logo

TwelveLabs

Machine Learning Engineer, 2+ Years Experience

Reposted 7 Days Ago
In-Office
San Francisco, CA
170K-280K Annually
Junior
In-Office
San Francisco, CA
170K-280K Annually
Junior
As a Machine Learning Engineer, you'll focus on scaling systems for video understanding, refine model deployment, and improve ML infrastructures.
The summary above was generated by AI

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 Machine Learning Engineer at TwelveLabs, you will drive our ML systems + platform engineering efforts in all facets of our e2e research & engineering workflows. Scaling our training, inference, and evaluation systems — all while improving the reliability of our model deployments / operations / versioning / etc. — is the essence of the role. This role is a perfect fit for senior engineers who get excited by the prospect of advancing the State of the Art in vision-language modeling by perfecting ML systems and infrastructure!

In This Role, You Will:

  • Advance our industry-leading enterprise video solutions by incorporating already-great research into fault tolerant, low latency e2e systems

  • Scale multimodal AI/ML systems for video understanding

  • Deliver industry leading 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

  • Build the highest impact, not the flashiest, libraries and services

You May Be A Good Fit If You Have:

  • 2+ years of relevant industry experience

  • Strong Python coding skills

  • Experience with modern ML frameworks (i.e. PyTorch, Tensorflow)

  • Excellent problem-solving skills and attention to detail

Strong Candidates May Also Have Experience:

  • With at least one statically typed language (we use Golang)

  • Building 0-to-1 mission critical AI/ML applications from scratch

  • Optimizing model inference (TensorRT, ONNX, Triton Inference Server)

  • Working with FFmpeg or other high performance image/video processing libraries

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).

Top Skills

Ffmpeg
Go
Onnx
Python
PyTorch
TensorFlow
Tensorrt
Triton Inference Server
HQ

TwelveLabs San Francisco, California, USA Office

55 Green St, San Francisco, California, United States, 94111

Similar Jobs

4 Hours Ago
Easy Apply
Hybrid
2 Locations
Easy Apply
148K-200K Annually
Senior level
148K-200K Annually
Senior level
eCommerce • Information Technology • Sharing Economy • Software
As a Senior Machine Learning Engineer, you will develop machine learning models, manage their lifecycle, build infrastructure, and collaborate with teams to enhance our capabilities in various ML areas.
Top Skills: AirflowBigQueryDbtDockerKafkaKubernetesLightgbmPythonPyTorchRedshiftScikit-LearnSnowflakeSQLTensorFlowTerraformXgboost
9 Days Ago
In-Office
8 Locations
161K-284K Annually
Senior level
161K-284K Annually
Senior level
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
The Senior Machine Learning Engineer will develop and maintain ML feature systems, drive architectural decisions, and mentor engineers while collaborating with cross-functional teams.
Top Skills: AWSDatabricksDockerFlinkGCPGoJavaKafkaKotlinKubernetesPythonSnowflakeSpark
5 Days Ago
Easy Apply
In-Office
Palo Alto, CA, USA
Easy Apply
135K-180K Annually
Mid level
135K-180K Annually
Mid level
Generative AI
The Machine Learning Engineer will build machine learning models and applications, drive technical design, and collaborate across teams to improve products and processes.
Top Skills: Aws SagemakerAzuremlC/C++Gcp VertexPython

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account