Foundational Data Engineer for Multimodal AI (Video Focus)
Join an innovative AI startup at the forefront of generative models focusing on the integration of  video, audio, and text . We are seeking a  foundational data engineer  who is ready to take full ownership of the data stack and play a critical role in scaling our multimodal pipeline infrastructure from the ground up.
Key Responsibilities:
Design and implement  end-to-end pipelines  specific to  video-text multimodal data .
Create robust systems for  data ingestion, preprocessing, storage, and serving .
Collaborate closely with research and infrastructure teams to  optimize data flows  for both training and inference processes.
Develop tools and processes to facilitate  experimentation at scale  with unstructured data.
Make critical technical decisions regarding architecture, frameworks, and performance optimization.
Preferred Qualifications:
Proven hands-on experience with  video data pipelines  is essential.
Experience working with  multimodal or ML-adjacent  systems (vision, audio, text) is highly valued.
A strong track record in  fast-paced, high-responsibility  environments (prior startup experience is a plus).
Deep understanding of  data quality, versioning, lineage, and reproducibility .
Ability to navigate through  ambiguous  and  under-defined technical landscapes .
Embrace the challenge and join us in shaping the future of multimodal AI!

????  Foundational Data Engineer Multimodal AI (Video Focus)
Were working with a AI startup building cutting-edge generative models at the intersection of  video, audio, and text . They're looking for a  foundational data engineer  someone who can fully  own the data stack  and help scale their multimodal pipeline infrastructure from the ground up.
????  What Youll Own:
Designing and building  end-to-end pipelines  for  video-text multimodal data
Creating reliable systems for  data ingestion, preprocessing, storage, and serving
Working closely with research and infra teams to  optimize data flows for training and inference
Setting up tooling and processes for  experimentation at scale  with unstructured data
Making core technical decisions on architecture, frameworks, and performance bottlenecks
????  What we're looking for:
Hands-on experience with video data pipelines  this is a must
A background working with  multimodal or ML-adjacent  systems (vision/audio/text)
Experience working in fast-moving, high-ownership environments (early-stage or startup experience a plus)
Deep understanding of  data quality, versioning, lineage, and reproducibility
Comfort navigating ambiguous and under-defined technical spaces

???? Foundational Data Engineer – Multimodal AI (Video Focus) We’re working with a AI startup building cutting-edge generative models at the intersection of video, audio, and text. They're looking for a foundational data engineer — someone who can fully own the data stack and help scale their multimodal pipeline infrastructure from the ground up. ???? What You’ll Own:<ul><li>Designing and building end-to-end pipelines for video-text multimodal data</li><li>Creating reliable systems for data ingestion, preprocessing, storage, and serving</li><li>Working closely with research and infra teams to optimize data flows for training and inference</li><li>Setting up tooling and processes for experimentation at scale with unstructured data</li><li>Making core technical decisions on architecture, frameworks, and performance bottlenecks</li></ul> ???? What we're looking for:<ul><li>Hands-on experience with video data pipelines — this is a must</li><li>A background working with multimodal or ML-adjacent systems (vision/audio/text)</li><li>Experience working in fast-moving, high-ownership environments (early-stage or startup experience a plus)</li><li>Deep understanding of data quality, versioning, lineage, and reproducibility</li><li>Comfort navigating ambiguous and under-defined technical spaces</li></ul>

Lead Data Engineer
About Us
Join us in our mission to transform AI interactions, introducing human-like understanding and communication into technology. Our innovative research in  multi-modal AI  is revolutionizing industries such as  healthcare, education, sales, and more . Supported by top investors, we are on an ambitious growth path and seeking talented individuals to help us expand the possibilities of AI-driven communication.
The Role: Data Architect, Builder, and Innovator
Data is not just a resource for our AI; it is the very foundation of our creations. As a  Lead Data Engineer , you will not only clean datasets and maintain pipelines. You will take charge of the entire data lifecycle—from sourcing and organizing to optimizing for  next-gen AI models . We are searching for someone who thinks creatively about data engineering, who anticipates future needs, pushes boundaries, and ensures our AI has access to the highest quality data.
Your Mission
Be a data visionary  - Anticipate the data needs of emerging AI models to ensure diverse, high-quality, and structured datasets drive innovation.
Own data end-to-end  - Take strategic ownership of how we source, structure, and optimize multimodal datasets (text, video, images, and more) for optimal AI effectiveness.
Shape AI model training  - Collaborate closely with ML engineers to curate and fine-tune datasets that enhance AI performance and inference accuracy.
Be a data hunter  - Employ web scraping, third-party integrations, and unconventional methods to acquire the right data at scale.
Master video data  - Address the unique challenges of AI-generated video by defining classification, segmentation, and structuring techniques to optimize video datasets.
Optimize labeling & automation  - Create automated pipelines for data cleaning, labeling, and structuring, ensuring gold-standard quality.
Turn internal data into insights  - Explore, organize, and enhance our platform's own internal data for strategic impact.
Move fast, but don't break data  - Balance speed with precision, ensuring every pipeline, dataset, and workflow is scalable and reliable.
What We're Looking For
You don't just maintain—you build.  You create fully operational pipelines and take charge of data utilization for AI-driven decisions.
Extreme ownership  - Proactively identify, source, and structure data essential for driving AI breakthroughs.
Product-minded approach  - Align data strategies with broader company objectives, understanding the bigger picture.
Experience with multimodal AI data  - A background in  LLMs, video, text, and image data  is a significant advantage.
Automation first  - Expertise in automating data cleaning, structuring, and labeling processes to ensure efficiency.
ML-first mindset  - Recognize that  better data = better models  and optimize datasets for maximal AI impact.
Technical expertise  - Proficiency in  Python, SQL, and large-scale data processing tools .
Speed + accuracy  - Work swiftly while never compromising on precision.
You set the standard  - Create and uphold best practices as we tackle unprecedented challenges.
Why Join Us?
Joining our team means becoming part of a  dynamic, diverse, and collaborative environment  where your contributions will directly influence our mission. We offer a range of benefits:
Flexible work schedules & remote-friendly culture
Unlimited PTO & top-tier healthcare
Generous gear stipends
A high-energy, supportive team that is passionate about innovation
We seek  culture creators  who bring fresh perspectives and challenge the status quo. If you are eager to elevate data engineering and help drive the future of human-AI interaction, we want to hear from you!
Apply now and be part of the AI revolution!

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