60 Machine Learning jobs in Minneapolis

AI / Machine Learning Engineer page is loaded AI / Machine Learning Engineer Apply remote type Hybrid locations US, Minnesota, Maplewood time type Full time posted on Posted 2 Days Ago job requisition id R01150184 Job Description: AI/Machine Learning Engineer Collaborate with Innovative 3Mers Around the World Choosing 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 wide variety 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. The Impact You’ll Make in this Role As an AI / Machine Learning Engineer, you will develop technologies in the areas of machine learning, deep learning, artificial intelligence, and/or computer vision that create new opportunities for 3M and will develop digital products and solutions capitalizing on 3M’s unique materials, advanced technologies, and global reach. At 3M, we analyze data, create algorithms, and develop real-world solutions for many businesses and markets, consumer and industrial products, worker safety, transportation, semiconductor, electronics, and many more. In this role, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative people around the world. Here, you will make an impact by: Leveraging expertise to develop and lead new data analytics technologies for product development or manufacturing systems, providing new growth opportunities in addition to supporting existing 3M products and businesses Working with global teams to implement impactful solutions in 3M’s diverse markets Initiate and contribute to the analysis and development of intellectual property, publish internally and externally, and present at appropriate conferences Collaborating with cross-functional research teams in corporate research and in business labs to build capabilities and applications to solve emerging challenges Analyzing data, develop algorithms, and deploy solutions based on real-world data Understand, develop, and guide the establishment of new computational tools and systems. Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications: Master’s degree or higher (completed and verified prior to start) in a science or engineering discipline Five (5) years experience in Data Science or Data Analytics in a private, public, government or military environment Three (3) years experience developing new technology and/or products in a private, public, government or military environment Additional qualifications that could help you succeed even further in this role include: Ph.D. degree or post-doctoral fellowship in Computer Science, Electrical Engineering, Data Science, Cognitive Science, Software Engineering, Applied Physics, Applied Mathematics, Chemical Engineering, Chemistry, or related discipline from an accredited university Three (3) years technical leadership of a development team Training and/or experience in deep learning, machine learning, computer vision, artificial intelligence, statistics, informatics, VAEs, transformers, diffusion models, optimization algorithms and/or applied mathematics through thesis work, or industry or national lab employment Fluent in one or more programming languages (e.g. Python, MATLAB, C, C++, Java, and/or R) Experienced with Azure and AWS cloud services and data analytics tools Ability to deal with the ambiguity of early-stage scouting and evaluation of new opportunities and the flexibility to change direction as additional information becomes available Physics or chemistry related domain knowledge informed machine learning and/or scientific machine learning experience Demonstrated scientific excellence as evidenced by publications and presentations Work location: Hybrid Eligible (Job Duties allow for some remote work but require travel to 3M Center at least 3 days per week) Travel: May include Relocation Assistance: May be authorized Supporting Your Well-being 3M 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. Chat with Max For assistance with searching through our current job openings or for more information about all things 3M, visit Max, our virtual recruiting assistant on 3M.com/careers. Applicable to US Applicants Only:The expected compensation range for this position is $122,292 - $149,468, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: Good Faith Posting Date Range 06/30/2025 To 07/30/2025 Or until filledAll 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 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.Pay & Benefits Overview: 3M does not discriminate in hiring or employment on the basis of race, color, sex, national origin, religion, age, disability, veteran status, or any other characteristic protected by applicable law. 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. 3M Global Terms of Use and Privacy Statement Carefully read these Terms of Use before using this website. Your access to and use of this website and application for a job at 3M are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here , select the country where you are applying for employment, and review. Before submitting your application, you will be asked to confirm your agreement with the terms. About Us At 3M we apply science in collaborative ways to improve lives daily as our employees connect with customers all around the world. Learn more about 3M's creative solutions to global challenges at or on Twitter @3M or @3MNews. #J-18808-Ljbffr

Description At this time, we are unable to consider candidates requiring visa sponsorship or third-party recruitment agencies for this role. We encourage all applicants to apply directly, and we thank you for your understanding. Overview: Join the global in-house Tech and Data Science team. As Lead Machine Learning Engineer, you will join a Data Sciences team responsible for creating personalized recommendations on the website and the mobile app. You will play a crucial role in designing, implementing, and optimizing production machine learning solutions. We will also expect you to understand best practice software design, participate in code reviews, and create a maintainable well-tested codebase with relevant documentation. At an organizational level, you will conduct training sessions, present work to technical and non-technical peers/leaders, build knowledge on business priorities/strategic goals and leverage this knowledge while building requirements and solutions for each business need. Location: Hybrid 1 day/week onsite - Brooklyn Park, MN (must be local to MN) Responsibilities: Lead the design, implementation, and optimization of production machine learning solutions for personalized recommendations on Target.com and the Target App. Ensure best practice software design principles are followed, and contribute to maintaining a clean, well-tested, and well-documented codebase. Participate in code reviews to maintain high standards of quality and consistency across the team. Conduct training sessions and knowledge-sharing activities within the team and organization. Present work to both technical and non-technical stakeholders, effectively communicating complex concepts in a clear, actionable manner. Align machine learning solutions with business priorities and strategic goals, leveraging this understanding to build relevant requirements and solutions. Develop and maintain data pipelines, model optimization processes, and deployment strategies for scalable machine learning solutions. Collaborate with data scientists, software engineers, and product managers to translate business requirements into machine learning solutions at scale. Design and implement automated CI/CD pipelines for model deployment and testing. Work with Big Data technologies such as Kafka and Spark to handle large-scale data processing and analysis. Leverage cloud ML services (e.g., Vertex AI, Azure ML, Sagemaker) for efficient model deployment and scalability. Use distributed training frameworks like Spark, Ray, or TensorFlow Distribute to enhance model performance at scale. Develop and manage serving frameworks (e.g., TorchServe, TensorFlow Serving, FastAPI) for serving machine learning models in production environments. Mentor junior team members, providing guidance on machine learning skills, career development, and growth. Demonstrate strong communication skills, with the ability to tell data-driven stories through visualizations, graphs, and clear narratives. Take ownership of tight project timelines, ensuring that deliverables are met with high-quality results. Collaborate effectively within a global team, ensuring smooth coordination and integration across different regions and time zones. Required Qualifications: 4-year degree in Quantitative disciplines (Science, Technology, Engineering, Mathematics) or equivalent experience MS in Computer Science, Applied Mathematics, Statistics, Physics or equivalent work or industry experience 5 plus years' experience in end-to-end Machine Learning application development, including data pipelining, model optimization, deployment, and API design Highly proficient programming in Python and either PySpark or Scala Experience with ML frameworks such as Pytorch, TensorFlow, xgboost, sklearn, and ONNX Experience with one or more cloud ML services such as Vertex AI/Azure ML/Sagemaker Experience using distributed training frameworks like Spark/Ray/TensorFlow Distribute Experience with serving frameworks such as TorchServe/TensorFlow Serving/FastAPI Good understanding of Big Data tech, specifically Kafka, Spark Experience creating and maintaining CI/CD pipelines for automated model deployment and testing Work in partnership with data scientists, software engineers and product managers to understand the business requirements and translate to machine learning solutions at scale Excellent communication skills with the ability to clearly tell data driven stories through appropriate visualizations, graphs, and narratives Self-driven and results oriented; able to meet tight timelines Ability to collaborate effectively across global team Experience in mentoring the junior team members ML skillset and career development Preferred Qualifications: PhD in Computer Science, Applied Mathematics, Statistics, Physics or related quantitative field Proficiency in Java Benefits: York Solutions Offers a generous benefits package for eligible full-time employees: BCBS Medical with 3 Plans to choose from (PPO and High deductible PPO plans with Health Savings Program) Delta Dental plan with 2 free cleanings and insurance discounts Eye Med Vision with annual check-ups and discounts on lens Life and Accidental Death Insurance paid by company John Hancock 401(k) Retirement Plan with discretionary company match up to 5% Voluntary Insurance programs such as: Hospital Indemnity, Identity Protection, Legal Insurance, Long Term Care, and Pet Insurance. Flexible work environment with some remote working opportunities Strong fun and teamwork environment Learning, development, and career growth #J-18808-Ljbffr

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals, and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. JOB DESCRIPTION: Staff AI/Machine Learning Engineer Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals, and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You’ll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year. An excellent retirement savings plan with a high employer contribution. Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree. A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists. The Opportunity This position works out of our Plymouth, MN location in the Structural Heart Division. Our business purpose is to restore health and improve quality of life by designing and providing device and management solutions for treating structural heart disease. The Staff AI/Machine Learning Engineer will provide technical leadership within a vibrant, high-performing R&D team that is redefining the treatment of structural heart disease. The incumbent will work cross-functionally across software engineering, clinical engineering, and systems engineering to develop novel implementations of ML-enabled product features as part of a unique product ecosystem. REQUIRED QUALIFICATIONS Bachelor’s degree in Biomedical Engineering, Computer Science, Data Science, Engineering, or similar with an emphasis in artificial intelligence and machine learning. Strongly prefer Master’s or PhD. Minimum industry experience: 8 years with Bachelor’s, 6 years with Masters, 3 years with PhD. Proficiency in common AI/ML programming languages (at least one of): Python (preferred), R, MATLAB, etc. Structured and unstructured database creation/usage to retrieve, store and query multimodal datasets. Manipulation of large datasets, including pruning, wrangling, cleaning, normalizing, scaling, transforming, encoding, mitigating imbalance, etc. Experience with Exploratory Data Analysis (EDA) and feature engineering. Training, evaluation, and hyperparameter tuning of various types of machine learning algorithms. Experience with tree-based, SVN, kNN, and linear models. Experience in building end-to-end pipelines within common modeling environments. Solid knowledge of conventional statistics methods and tools. Self-motivated with ability to collaborate across multiple disciplines (e.g., clinical, software, systems) to meet program milestones. Excellent written and verbal skills and ability to speak to a wide variety of stakeholders. PREFERRED QUALIFICATIONS Experience with multimodal data integration and ensemble model architectures. Experience with common model serving runtimes, deployment tools, and platforms. Experience with LLM fine-tuning and architectures, such as encoder-decoder transformer models, including MoE, RAG, and recurrent hybrids. MLOps experience within Azure or AWS. Experience with source control repositories such as Github. Working knowledge of global data privacy regulations. Experience in creating analytics reports and interactive visualizations. Familiarity with ISO 13485, 14971, etc. Experience in compiling and optimization techniques (e.g., quantization, pruning, compression) to deploy models on edge devices. Experienced in the sequential phases of the medical device development from early feasibility through development, test, commercial launch, and post-market support. Experience in first-in-human and pivotal clinical trials. Familiarity with cardiac anatomy and interventional cardiology. Apply Now Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at , on Facebook at , and on Twitter @AbbottNews. The base pay for this position is $97,300.00 – $194,700.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY: Product Development DIVISION: SH Structural Heart LOCATION: United States > Minnesota > Plymouth : 5050 Nathan Lane N ADDITIONAL LOCATIONS: WORK SHIFT: Standard TRAVEL: Yes, 5 % of the Time MEDICAL SURVEILLANCE: Not Applicable SIGNIFICANT WORK ACTIVITIES: Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans. EEO is the Law link - English: EEO is the Law link - Espanol: #J-18808-Ljbffr