Level

Unstructured

Join us - Evergreen Opportunities

Unstructured is hiring a Join us - Evergreen Opportunities for a remote role. Level rates it ; you can apply on Unstructured.

Level's read on this job

  • On Level's scale, this role is Builds AI ●●●●: the job is building AI systems.
  • This is listed as a remote role.
  • The posting mentions Databricks, Python and LLMs among its tools and skills.
  • Unstructured has 4 other open roles on Level.

AI in this role

Builds data pipelines and infrastructure for enterprise generative AI and unstructured data transformation.

databrickspythonllms

Unstructured is defining the standard for enterprise data transformation in the age of LLMs and generative AI. In just two years, we've raised over $65M from world-class investors, including Menlo Ventures, Bain Capital, Databricks, NVIDIA, Microsoft, and IBM.

 

Our open-source toolkit has been downloaded 97M+ times and is used by 90% of the Fortune 1000. We power production AI workflows across commercial and federal sectors — transforming PDFs, HTML, Word docs, images, emails, and more into AI-ready data pipelines that scale.

 

We're not just building tools; we're building the backbone of generative AI and the infrastructure that unlocks intelligence across industries.


Why Join Our Talent Pool?

Although we may not have immediate openings, we encourage passionate and skilled professionals to join our talent pool. By applying now, you'll be on our radar for future opportunities that match your skills and interests. Whether you're a seasoned expert or an emerging talent, we want to hear from you.

 

What We Offer:

  • A dynamic and innovative work environment.- Opportunities to work on impactful AI/ML projects with cutting-edge technologies.

  • Impactful role in shaping the company's direction and driving innovation in unstructured data processing

  • Competitive compensation package, including benefits and stock options

 

How to Apply:

Submit your resume and a brief cover letter detailing your interest in Unstructured.io and the type of role you're seeking. We will keep your application on file and reach out when a suitable position becomes available.


Why You'll Love It Here

 

You'll be surrounded by smart, kind, low-ego people who genuinely enjoy building together. We invest in our team with company offsites, best-in-tech swag, and the tools you need to do your best work, wherever you're based.

 

We support you holistically, not just at work. From medical, dental, and vision coverage effective the 1st of the month following your start date, life and disability insurance, unlimited PTO, and flexible parental leave, to a 401(k) with company match, equity, a $500 work from home stipend, $70/month internet reimbursement, and team/company offsites throughout the year - we want you focused on building, growing, and staying energized for the long haul.

 

If you're excited about what we're building, we'd love to meet you.

 

Unstructured is proud to be an Equal Opportunity Employer. We're committed to building a diverse team and an inclusive culture where everyone can do their best work. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, or any other characteristic protected by applicable law.

How we rate this

Join us - Evergreen Opportunities at Unstructured rates 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

DatabricksPythonLLMs

Questions you could be asked

  1. What's a project where you used Databricks hands-on?
  2. Walk me through how you've used Python in your day-to-day work.
  3. What are the limits of LLMs that you've run into, and how did you work around them?
  4. How would you decide a model or AI system is ready to ship?
  5. Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

  • List these exact terms on your resume: Databricks, Python, and LLMs. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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