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ML Research Engineer

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1 Vacancy
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Job Location drjobs

San Francisco, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Who We Are

At Twelve Labs 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 videolanguage modeling allowing developers to build programs with stateoftheart semantic search summarization and analysis capabilities.

Twelve Labs has raised $107 million in Seed Series A funding from worldclass VC & corporate partners: NVIDIA NEA Radical Ventures Index Ventures Snowflake and Databricks. Our advisory team features AI visionaries and founders such as FeiFei 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 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 videolanguage modeling systems!

In This Role You Will:

  • Deliver topnotch applied research solutions to problems like VLM finetuning autolabeling of videotext datasets and modelbased 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

  • Work across teams to understand and manage project priorities and product deliverables evaluate tradeoffs and drive technical initiatives from ideation to to shipment

  • Advance our industryleading enterprise video solutions by incorporating alreadygreat research into fault tolerant low latency end to end systems

You May Be A Good Fit If You Have:

  • 6 years of industry experience

  • 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 Candidates May Also Have Experience:

  • Publishing research/engineering work on LLMs VLMs video models or contrastive multimodal models in toptier AI conferences such as NeurIPS CVPR ICLR etc. or have scaled distributed foundation model data acquisition training inference evaluation etc.

  • Optimizing model inference with TensorRT ONNX Triton Inference Server or directly related technologies

  • A PhD or a Masters degree in machine learning or a closely related discipline

Interview Process

1 Recruiter Phone Screen

2 Initial Technical Assessment

3 Technical Interview 1: Coding

4 Technical Interview 2: System Design & Project Deep Dive

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 01 achiever a ferocious learner and a kind and fun team player who motivates others you will find a home at Twelve Labs.

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 missiondriven team on cuttingedge 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).

Employment Type

Full-Time

Company Industry

About Company

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