Job Listing
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| Job ID: 14015922 |
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| Job Location: |
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| How to Apply: | To see employer contact information, log in or register. |
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| Job Title: | AI/ML Scientist-R01110319 |
| Work Type: | Work Days: Weekdays, Work Vary: No , Shift: First (Day), Hours Per Week: 40, Work Type: Regular |
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| Salary Offered: | Unspecified |
| Benefits: | Unspecified. |
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| Physical Required: | Unspecified |
| Drug Testing Required: | Unspecified |
| Education Required: | Less than High School Diploma/GED |
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| Experience Required: | Unspecified |
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| Required Skills: | Please see job description for required skills. |
| Preferred Skills: |
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| Job Description: |
Thank you for your interest in working for our Company. Recruiting the right talent is crucial to our goals. On April 1, 2024, 3M Healthcare underwent a corporate spin-off leading to the creation of a new company named Solventum. We are still in the process of updating our Careers Page and applicant documents, which currently have 3M branding. Please bear with us. In the interim, our Privacy Policy here continue to apply to any personal information you submit, and the 3M-branded positions listed on our Careers Page are for Solventum positions.As it was with 3M, at Solventum all q ualified applicants will receive consideration for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job Description:Senior Machine Learning Engineer3M Health Care is now SolventumAt Solventum, we enable better, smarter, safer healthcare to improve lives. As a new company with a long legacy of creating breakthrough solutions for our customers' toughest challenges, we pioneer game-changing innovations at the intersection of health, material and data science that change patients' lives for the better while enabling healthcare professionals to perform at their best. Because people, and their wellbeing, are at the heart of every scientific advancement we pursue.We partner closely with the brightest minds in healthcare to ensure that every solution we create melds the latest technology with compassion and empathy. Because at Solventum, we never stop solving for you.Proven category leadershipExposure to attractive end-marketsInnovation mindset driving improved patient outcomesCollaborative customer relationshipsDeep global regulatory experienceOperational excellence and strong cash flowStrong sales growth and profitability with significant recurring salesWe expect the creation of the two companies will be completed by the end of the first quarter of 2024. We will continue to operate as one global company. This role is positioned to drive the success of the "New Health Care Company".The Impact You'll Make in this Role(Also known as job summary and primary responsibilities. Do not alter standard text of the introductory paragraph, except for adding in the titles of the position. No more than 5 bullet points should be used to articulate the responsibilities.)As a(n) Senior Machine Learning Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:Playing a critical role in researching & applying new-to-the-world machine learning and AI technologies to deliver on our customer needsBreaking down complex problems into approachable stages and bringing concepts to productionSpecifying, designing, and participating in the development of state-of-the-art software technology platforms utilizing AI and machine learning technologies for use in the Oral Care and Healthcare market globallyBeing an active member of high performing software development and AI/Machine Learning teams in an agile environmentContributing to and influencing cross-functional teams to identify opportunities and integrate with newly emerging technologies across 3M HealthcareYour Skills and Expertise(Also known as basic and preferred qualifications. Do not alter the standard text in sentences. Update bullets under each sentence. No more than 5 bullet points should be used to articulate the basic qualifications or preferred qualifications. If the position requires a degree to fulfill the position responsibilities, you can take out the HS OR option)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 AND 3 years of experience in machine learning, deep learning, data science, computer vision, or artificial intelligence developmentANDIn addition to the above requirements, the following are also required:Experience developing software that facilitates AI/Machine learning algorithms and models to solve problems in specific application domainsAdditional qualifications that could help you succeed even further in this role include:PhD degree in Machine Learning, Computer Science, or related fields from an accredited institutionExperience with Deep Learning, Geometric Deep Learning, Reinforcement Learning, and frameworks such as PyTorchExperience with programming & data engineering languages like Python, C/C , C# and SQLExperience in building and deploying highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutionsExperience with 3D visualization algorithms and computational approaches, e.g., 3D mesh representations and operationsExpertise in computer vision sub-disciplines such as: image analysis (object recognition and feature detection), 3D computer vision (acquisition / 3D sensing, computational imaging, segmentation, registration), machine learning (feature extraction, classification, clustering), embedded and real-time computer vision, video understanding (action recognition, scene summarization), analysis and reduction of high-dimensional dataDemonstrated problem solving and analysis skills, systems thinker, results driven, self-motivated, team skills, ability to work independently and with distributed teamsExcellent interpersonal, problem-solving skills including collaborative software development experienceFor current employees, internal transfer restrictions may not apply. For more details, contact your local recruiter/HR team.Work location:...Equal Opportunity Employer - minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity
Refer to ID R01110319 when applying |
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