AI/ML Engineer

Job DescriptionArtificial Intelligence/Machine Learning EngineerCollaborate with Innovative 3Mers Around the WorldChoosing where to start and grow your career has a major impact on your professional and personal life, so it’s equally important you know that the company that you choose to work at, and its leaders, will support and guide you. With a diversity of people, global locations, technologies and products, 3M is a place where you can collaborate with other curious, creative 3Mers.This position provides an opportunity to transition from other private, public, government or military experience to a 3M career.RoleAs an Artificial Intelligence/Machine Learning Engineer you will be a part of a team developing world-class processes and tools integrating machine learning and statistical computing into everyday business critical operations ranging from inventory optimization to omnichannel marketing optimization. You will play a critical role in architecting & developing cloud solutions that employ the latest machine learning and AI technologies. Here, you will make an impact by:Designing, planning, developing, implementing, and maintaining artificial intelligence, deep learning, machine learning, and statistical processes against business requirementsInnovating at the intersection of data architectures, software development and data science, statistics, AI, and complex systems optimizationWorking with cross-functional business and technical teams to apply your unique skillset to drive new to the world data science capabilities and business results.Engaging with the Product Owner and program stakeholders to develop acceptance criteria for features and user stories to meet business requirements.Your Skills And ExpertiseTo set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:Bachelor’s degree or higher (completed and verified prior to start) in computer science, machine learning, mathematics or similar field from an accredited institution2 years of experience with programming in Python and SQL for data engineering to support data science backed solutions in a private, public, government or military environment2 years of industry experience in applied ML3 years of experience in software development at an enterprise scaleAdditional qualifications that could help you succeed even further in this role include:Industry experience in Consumer Packaged Goods (CPG) developing enterprise data stores (data meshes, lakehouses, etc.)Demonstratable experience building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions.1+ year experience with big data systems like Spark, Hadoop, Hive, Databricks, or other large scale data processing engines.Excellent understanding of data science techniques and algorithms, such as reinforcement learning, deep learning, machine learning, NLP, and predictive analytics.Experience working with Agile Scrum methodologies.Experience deploying blackbox and automated testing strategiesExperience employing statistical computing/data science toolsets including R and PythonExperience in the testing of enterprise-grade ML platformsWork location:Work Your Way Eligible (Employee choice to work remote, on site, or hybrid)Travel:

May include up to 10%Relocation Assistance:

May be authorized.Must be legally authorized to work in the country of employment without sponsorship for employment visa status (e.g., H1B status).Supporting Your Well-being3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.3M is an equal opportunity employer.3M will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.Please note:

your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

#J-18808-Ljbffr