Tagup7mo ago

Machine Learning Engineer

New YorkFull-timemid

Data ScienceMachine Learning EngineerData & AI

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Overview

Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI.

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Data ScienceMachine Learning EngineerData & AI

Tagup is a defense technology company founded at MIT that is delivering logistics decision advantage with next-generation AI. We’re growing rapidly and are looking for change-makers passionate about delivering innovative technologies to solve the most challenging problems in the world’s highest stakes environments. This is an exciting opportunity to engage in meaningful work that strengthens national security and contributes to the success of U.S. and allied forces. Join us in shaping the future of defense logistics for a safer tomorrow.

We are seeking a Machine Learning Engineer to join our Salt Lake City team and help shape the next generation of AI-driven defense and aviation systems. In this role, you’ll go beyond building models — you’ll design, deploy, and scale AI solutions that directly support mission-critical operations.

This is not a typical ML position. You’ll work at the intersection of cutting-edge research and real-world application, creating models and infrastructure that deliver measurable improvements in reliability, efficiency, and performance.

If you’re motivated by solving complex technical challenges and want your work to make a tangible impact on national security and aviation safety, we want to hear from you.

Develop, train, and optimize ML models for large-scale applications.

Build pipelines for data ingestion and model deployment.

Work with engineers and subject-matter experts to refine solutions.

Conduct testing and validation to ensure reliability.

Co-author technical reports on data analysis and model performance.

Continuously improve ML infrastructure and workflows.

Collaborate with customers to identify new data sources and the industrial processes they will support; some customer travel may be required.

4+ years of machine learning experience, with strong Python skills and proficiency in frameworks such as PyTorch or TensorFlow.

Proven ability to deploy ML models into production and work with large, complex datasets.

Hands-on experience with MLOps tools and practices, including Kubernetes, MLflow, and CI/CD pipelines.

Experience building and managing cloud infrastructure as code (AWS, Azure, or GCP) with tools such as Terraform or Ansible.

Familiarity with datastores (MySQL, Postgres, or MongoDB) and prior exposure to aviation, defense, or other safety-critical environments is a plus.