software engineering co-ops

PathAI, Inc.
Boston, MA, United States
about 1 month ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Cloud Computing Distributed Systems Machine Learning Kubernetes Information Technology

Job description

Our MLOps team builds and scales the machine learning infrastructure that powers PathAI’s enterprise AI systems in research and production production - spanning cloud infrastructure (AWS and on-prem), Kubernetes, distributed systems, and observability. We care as much about reliability and reproducibility as we do about speed: everything we ship should be dependable, well-tested, and easy for other engineers to build on. As a co-op, you’ll get a broad, hands-on introduction to ML automation. What You’ll Do

  • Solve interesting problems with code.
  • Build new features for internal users, and refactor existing ones to make them better.
  • Interface directly with team members of all levels
  • Work with a wide range of systems, processes, and technologies to solve problems in sustainable ways. Sometimes you’ll be neck- deep in low-level systems, and other times you’ll be pairing up with to build developer features.
  • Collaborate with machine learning and infrastructure teams.
  • Drive and uphold high engineering standards, bringing consistency to the codebases you encounter and ensuring software is adequately reviewed, tested, and integrated.
  • Learn and share knowledge with others along the way.

Requirements

We’re looking for intellectually curious and driven engineering students to help lay the groundwork for our growing machine learning automation systems., * Work ethic. You’ve had at least one previous employer, whether it’s a previous internship in this field, volunteer work, or a summer gig waiting tables.

  • Education. We prefer co-op students pursuing their Bachelor’s or Master’s in Computer Science or related field, with at least 50% of their degree program completed
  • An insatiable intellectual curiosity and the ability to learn quickly in a complex space

About the company

PathAI is on a mission to improve patient outcomes with AI-powered pathology. We are transforming traditional pathology methods into powerful, new technologies. These innovations in pathology can help accelerate drug development, improve confidence in the accuracy of diagnosis, and get life-saving therapies to patients more quickly. At PathAI, you’ll work with a diverse and talented team of people, who are dedicated to solving complex problems and making a huge impact.

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Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

7:10 min

Exploring pathways into the machine learning engineering field

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Understanding Kubernetes architecture and core cluster components

Marc Nimmerrichter · World Congress 2022

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Introduction to WebAssembly in a cloud computing context

Edo Edo · World Congress 2024

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Applying supervised machine learning for practical rule extraction

Katja Träumner

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Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

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Overview of Kubernetes operators and custom resource definitions

Philipp Krenn · World Congress 2022

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