Senior AI/ML Engineer, Machine Learning Operations

Revolutionary platform for military staff workflows and operational planning, enabling smarter, real-time decisions with AI-enhanced tools.
$160,000 - $215,000
Machine Learning
Senior Software Engineer
Remote
101 - 500 Employees
4+ years of experience
AI · Enterprise SaaS

Description For Senior AI/ML Engineer, Machine Learning Operations

Onebrief, a revolutionary platform for military staff workflows and operational planning, is seeking a Senior AI/ML Engineer focused on MLOps. As the second Machine Learning Engineer in this space, you'll play a pivotal role in shaping the future of military operational planning through AI innovation.

Founded in 2017, Onebrief has grown to 120+ employees and raised over $53M from leading venture investors. The company combines expertise from veterans across all forces and technologists from leading software companies to create a platform that makes military staffs superhuman through AI-enhanced tools and collaborative workflows.

In this role, you'll lead critical MLOps initiatives, establishing and refining AI/ML deployment pipelines that directly impact military operational planning efficiency. You'll work on designing scalable systems for model deployment, monitoring, and maintenance, ensuring robust and efficient integration of AI solutions into the platform.

The ideal candidate brings 4+ years of engineering experience with significant MLOps contributions, strong Python programming skills, and expertise in container orchestration, model serving frameworks, and cloud environments. You'll need to be proficient in CI/CD pipelines, distributed computing, and model monitoring tools.

We offer competitive compensation ($160K-$215K), equity participation, comprehensive benefits including health/dental/vision insurance, 401(k), parental leave, and flexible remote work arrangements. Join us in revolutionizing military operational planning with cutting-edge AI technology.

Last updated 2 months ago

Responsibilities For Senior AI/ML Engineer, Machine Learning Operations

  • Establish and refine AI/ML deployment pipelines
  • Lead MLOps initiatives
  • Design and implement scalable systems for model deployment, monitoring, and maintenance
  • Work with cross-functional teams to integrate AI solutions into the platform
  • Build reliable ML infrastructure that supports rapid growth and innovation

Requirements For Senior AI/ML Engineer, Machine Learning Operations

Python
Kubernetes
  • Bachelor's degree in Computer Science, Engineering, or related field
  • 4+ years in engineering roles with significant MLOps contributions
  • Strong programming skills in Python
  • Experience with Docker and Kubernetes
  • Proficiency in designing and deploying agentic systems with modern model serving frameworks
  • Experience with systems architecture, SQL/NoSQL databases, and Git version control
  • Strong proficiency with CI/CD pipelines and distributed computing frameworks
  • Experience with model monitoring, logging, and versioning tools
  • Expertise in deploying ML models in cloud environments

Benefits For Senior AI/ML Engineer, Machine Learning Operations

401k
Dental Insurance
Medical Insurance
Vision Insurance
Equity
Parental Leave
  • Share in the company's success through equity
  • Remote work with flexible hours and unlimited PTO
  • Health, dental, vision, and life insurance
  • 401(k) plan
  • Parental Leave
  • Annual company summit trips
  • $1,000 per year for home office improvements

Interested in this job?

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