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# Data Scientist / ML Engineer (Antarctica Capital)

- **Company:** KALEPA CORPORATION
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $210,000.0 - $290,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Amazon Elastic Compute Cloud, Relational Databases, Software Debugging, Python (Programming Language), PostgreSQL, Software Engineering, Unstructured Data, Cloud Platform System, Large Language Models, Backend, Serverless Computing
- **Published:** August 9, 2026
- **Apply:** https://www.workingnomads.com/job/go/1781135/

## About the Role

* Have 8+ years of software engineering experience.
 * Embody hustle and grit, you're excellent at your craft and relentless in pursuing it.
 * Take full ownership of your work and drive projects to completion with minimal oversight.
 * Communicate proactively, surfacing blockers, asking the right questions, keeping stakeholders in the loop.
 * Thrive on experimentation: you're comfortable testing ideas, measuring results, and iterating quickly on problems no one has solved before.
 * Have strong fundamentals in system design, debugging, and problem-solving.
 * Have worked with LLMs in production and understand what it takes to deploy them at scale.
 * Have experience with AWS and serverless technologies (Lambda, EC2), asynchronous workflows, and cloud environments.
 * Know Python (our main stack), though we're open to strong candidates from other OO backgrounds
 * Are comfortable with relational databases, ideally PostgreSQL.
 * Are excited by problems others are struggling with.
 * Bonus: experience with document pipelines and processing large amounts of data

## Description

We are looking for engineers who enjoy going deep on hard problems and owning end-to-end outcomes. As a Staff engineer on the Submission Processing team, you'll work at the intersection of AI and backend engineering and have major ownership and agency: design the systems, make architectural calls under ambiguity, and play a key role in setting the technical direction for the team.

You'll be working on building and scaling LLM-based systems that process billions of highly unstructured data points on a daily basis, extract precise information, and surface insights that insurers rely on for high-stakes decisions. This is a problem the industry hasn't solved effectively yet, and you'll be working on cutting-edge challenges that require creativity and ambition. We're a small team where individual contributions have an outsized impact on both our technology and our business.


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