Join a high-growth AI infrastructure startup building the intelligence layer for complex document understanding. You will develop and train vision-language models to transform unstructured enterprise data into LLM-ready context. This role bridges the gap between frontier research and production systems, allowing you to ship high-impact models used by thousands of developers globally.
Member of Technical Staff, Applied Research at well-funded AI infrastructure startup
Are you an ML expert ready to bridge the gap between research and production? This well-funded AI infrastructure startup is looking for an Applied Research Engineer to build the vision-language models powering the next generation of document intelligence. You will work directly with technical founders to solve complex data extraction problems at scale, leveraging a platform with massive developer adoption while taking complete technical ownership of a core AI product that shapes how thousands of companies interact with their unstructured enterprise data.
Want to apply for this role?
C
Jack finds you jobs at companies like Confidential company. Talk to Jack to get considered for roles that fit what you're great at.
Location
San Francisco, United States
Compensation
Not Disclosed + Equity
Company
Confidential company
Role overview
About the company
Well-funded AI infrastructure startup
What you will do
- Develop and train vision-language models specifically optimized for complex document processing, including tables, charts, and multi-page forms.
- Build robust data pipelines for synthetic data generation and create rigorous benchmarking frameworks to evaluate model performance across diverse datasets.
- Collaborate with engineering teams to move successful research prototypes into production-grade systems that handle millions of documents.
Who this is a fit for
- 3-7 years of experience in ML engineering or applied research with a strong foundation in training and benchmarking deep learning models.
- Deep technical proficiency in Python and PyTorch, with hands-on experience in computer vision, vision-language models, or natural language processing.
- Proven ability to write clean, production-quality code and thrive in a fast-paced startup environment with high levels of ownership.
Why this role is remarkable
- Work at the intersection of computer vision and language modeling on a core infrastructure problem for the modern AI stack.
- Join a Series A startup backed by top-tier VCs with massive developer adoption and real commercial traction in the enterprise market.
- Enjoy significant technical ownership and the opportunity to work directly with technical founders to shape the future of document intelligence.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Confidential company wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.