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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI/Machine Learning Engineer - **Company:** The 3M Company - **Location:** Maplewood, MN, United States - **Experience:** Experienced - **Salary:** $124,127.0 - $151,710.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, C++ (Programming Language), Cloud Computing, Compilers, Profiling, Code Review, Cognitive Science, Computer Programming, Databases, Computer Engineering, Continuous Integration, Data Structures, Software Debugging, Interoperability, Python (Programming Language), Machine Learning, Enterprise Messaging Systems, Cloud Services, System Programming, Reinforcement Learning, Google Cloud, High Performance Computing, Concurrency, IT Architecture, Parallel Computation, Containerization, Kubernetes, Information Technology, Low Latency, Deployment Automation, Software Version Control - **Published:** September 5, 2026 - **Apply:** https://3m.wd1.myworkdayjobs.com/Search/job/US-Minnesota-Maplewood/AI-Machine-Learning-Engineer_R01170506 ## About the Role * Bachelor's degree or higher in computer science, computer engineering, electrical engineering, applied mathematics, physics, cognitive science, computational neuroscience, or a related field (completed and verified prior to start) from an accredited institution., * High School Diploma/GED (completed and verified prior to start) AND five or more years of experience developing, testing, and maintaining, software or technology systems, including substantial hands-on programming experience. AND * Five (5) years programming ability in Python and either C++, Rust, or another systems programming language. * Three (3) years of core software-engineering practices, including version control, code review, debugging, automated testing, and technical documentation. Additional qualifications that could help you succeed even further in this role include: * Ability to understand unfamiliar algorithms, break work into testable components, and collaborate effectively with researchers and senior engineers. * Hands-on Rust experience or a strong interest and demonstrated ability to learn Rust quickly. * Experience converting prototypes, research code, simulations, or mathematical algorithms into robust software. * Coursework or experience in algorithms, data structures, operating systems, concurrency, parallel computing, compilers, graph algorithms, or high-performance computing. * Exposure to symbolic AI, neural-symbolic systems, cognitive architectures, causal reasoning, analogical reasoning, reinforcement learning, constraint solving, or simulation systems. * Experience with Python/Rust or Python/C++ interoperability, containers, Kubernetes, Cloud Providers (AWS, GCP, Azure), on-premises systems, CI/CD, databases, graph stores, or messaging systems. * Experience with profiling, benchmarking, deterministic execution, reproducible experiments, or performance-sensitive software. * A collaborative, communicative low-ego working style, intellectual curiosity, testing discipline, and sound judgment when handling confidential or access-controlled intellectual property. ## Description As an AI Software Developer, Early Career, you will join an internal incubator building a new-to-the-world AI architecture and a new technical category. You will work alongside experienced researchers and engineers to convert Python research and development code into scalable production components, primarily in Rust. You will receive clearly scoped assignments and learn an uncommon approach to AI while building tests, simulations, runtime services, and performance improvements that help move foundational research into real-world systems. * Translating well-specified Python research modules into readable, tested, maintainable, and performant Rust components. * Building and maintaining unit, integration, regression, simulation, behavioral-equivalence, determinism, and reproducibility tests. QA and Production validation. * Implementing stable interfaces and runtime components within a modular architecture designed to protect proprietary intellectual property. * Profiling CPU usage, memory, latency, and throughput; partnering with senior developers to improve performance and scalability. * Supporting concurrent and parallel execution, Python/Rust interoperability, containerization, CI/CD, observability, and deployment automation. * Helping create components that can support real-time inference, near-real-time reasoning, offline simulations, cloud services, on-premises systems, and embedded or edge environments. * Working closely with research and engineering teammates to clarify requirements, acceptance criteria, and appropriate tradeoffs between algorithm adaptation and reference fidelity. * Documenting designs, interfaces, tests, benchmarks, and operating assumptions so components can be safely understood and maintained. * Learning structured relational, causal, and neural symbolic computation from experienced researchers and applying that knowledge to production software. * Contributing to a collaborative, low-ego team culture centered on curiosity, disciplined engineering, and responsible handling of confidential intellectual property., All US-based 3M full time employees will need to sign an employee agreement as a condition of employment with 3M. This agreement lays out key terms on using 3M Confidential Information and Trade Secrets. It also has provisions discussing conflicts of interest and how inventions are assigned. Employees that are Job Grade 7 or equivalent and above may also have obligations to not compete against 3M or solicit its employees or customers, both during their employment, and for a period after they leave 3M. Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Instagram, Facebook, and LinkedIn @3M. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. Safety is a core value at 3M. All employees are expected to contribute to a strong Environmental Health and Safety (EHS) culture by following safety policies, identifying hazards, and engaging in continuous improvement. ## Related Videos - [Just-in-time Compilation in JVM](https://www.wearedevelopers.com/videos/240-just-in-time-compilation-in-jvm) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases) - [The Software Engineer 2030: From Coder To AI Orchestrator? - Patrick Schnell](https://www.wearedevelopers.com/videos/1825-the-software-engineer-2030-from-coder-to-ai-orchestrator-patrick-schnell) - [Building a Compiler with C#](https://www.wearedevelopers.com/videos/116-building-a-compiler-with-c) - [Engineering Mindset in the Age of AI - Gunnar Grosch, AWS](https://www.wearedevelopers.com/videos/1735-engineering-mindset-in-the-age-of-ai-gunnar-grosch-aws) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps – What’s the deal behind it?](https://www.wearedevelopers.com/magazine/125-mlops-what-s-the-deal-behind-it)