Senior AI/ML Scientist

Solventum is establishing two industry-leading companies, creating value through the spin-off of its Health Care business, while Solventum will continue to be a global material science leader, focusing our innovation to win in favorable global megatrends and attractive end markets. This new Health Care Company will be a leading global diversified health technology company with:

  • Proven category leadership
  • Exposure to attractive end-markets
  • Innovation mindset driving improved patient outcomes
  • Collaborative customer relationships
  • Deep global regulatory experience
  • Operational excellence and strong cash flow
  • Strong sales growth and profitability with significant recurring sales

We 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:

As A(n) Senior Machine Learning Scientist, 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 leading research & applying new-to-the-world machine learning and AI technologies to deliver on our customer needs and business requirements
  • Breaking down complex problems into approachable stages and bringing concepts to production
  • Lead in specifying, 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 globally
  • Being an active member of high performing software development and AI/Machine Learning teams in an agile environment: ensure quality software, testing strategies, algorithms and models that deploy at scale, participate in platform architecture and technology planning for roadmaps
  • Contributing to and influencing cross-functional teams to identify opportunities and integrate with newly emerging technologies across Solventum Healthcare

Your Skills And Expertise:

  • Master’s Degree or higher AND 5 years of experience in machine learning, deep learning, data science, computer vision, or artificial intelligence development

In 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 domains

Additional 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 institution
  • Experience with Deep Learning, Geometric Deep Learning, Reinforcement Learning, and frameworks such as PyTorch
  • Experience with programming & data engineering languages like Python, C/C++, C# and SQL
  • Experience in leading the development and deployment of highly scalable systems, algorithms, and tools on platforms to support machine learning and deep learning solutions
  • Experience with 3D visualization algorithms and computational approaches, e.g., 3D mesh representations and operations
  • Expertise 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 data
  • Demonstrated problem solving and analysis skills, systems thinker, results driven, self-motivated, team skills, ability to work independently and with distributed teams
  • Excellent leadership with interpersonal and problem-solving skills including collaborative software development experience

For current employees, internal transfer restrictions may not apply. For more details, contact your local recruiter/HR team.

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