Senior AI Architect & ML Systems Engineer

3M

Minnesota

On-site

USD 188,000 - 230,000

Full time

14 days+
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Job summary

3M in Maplewood, MN, invites applications for a Senior AI/Machine Learning Specialist. You will join an internal incubator to turn Python research into scalable Rust production systems, leading architecture decisions and collaborating with researchers and engineers.

You will architect real-time and offline inference, optimize concurrency, and build observability, CI/CD, and deployment capabilities for cloud and edge environments while mentoring junior developers.

Qualifications

  • Bachelor's degree or higher in CS, engineering, mathematics, physics or related field.
  • Five years of experience building, scaling or productionizing complex software.
  • Ten years of professional software-development experience.

Responsibilities

  • Architect scalable runtime components for real-time inference, near-real-time reasoning, and edge deployments.
  • Drive concurrency, parallel execution, memory management, and inter-process communication decisions.
  • Collaborate with researchers on AI representations, learning mechanisms and causal structures.
  • Establish behavioral-equivalence, determinism, reproducibility, and performance testing between research and production.
  • Mentor early-career developers and provide hands-on technical leadership.
  • Build observability, CI/CD, containerization, deployment, and operational capabilities for cloud and on-premises.

Skills

Python Development
Collaborative Leadership
Agile Scrum
Mathematical Reasoning

Education

Bachelor's degree in CS or related field
High School Diploma/GED with 5 years software experience

Tools

Rust
C++

Job description

3M in Maplewood, MN, invites applications for a Senior AI/Machine Learning Specialist. You will join an internal incubator to turn Python research into scalable Rust production systems, leading architecture decisions and collaborating with researchers and engineers.

You will architect real-time and offline inference, optimize concurrency, and build observability, CI/CD, and deployment capabilities for cloud and edge environments while mentoring junior developers.

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