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3M HIS Sr. Machine Learning Scientist at 3M in Pittsburgh, Pennsylvania

Posted in Management 30+ days ago.

Type: Full-Time





Job Description:

3M HIS Sr. Machine Learning Scientist

Collaborate with Innovative 3Mers Around the World

Are you a creative and thoughtful researcher? Do you want to apply your skills in a way that has a meaningful impact on the world? You might just be the person we are looking for! Join our team of international researchers and engineers in Pittsburgh PA to help improve patient care and clinical workflows through advancing our conversational assistant technology.

We are looking for someone who is familiar with research methodologies, devising, implementing and evaluating algorithms and large-scale systems. Do you have experience in one or several of the following fields: Natural Language Processing, Machine Learning, Artificial Intelligence? Shows passion for learning new technologies and improving the state of healthcare IT.

“3M’s culture is driven by curious, spirited and collaborative people who are constantly asking ‘What if?’ And the many talents of 3Mers around the globe have me incredibly excited about what’s to come next.” – Kristen Ludgate, senior vice president of Human Resources at 3M

This position provides an opportunity to transition from other private, public, government or military environments to a 3M career.
 

The Impact You’ll Make in this Role

As a Sr. 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:


  • Leading role in the design, development, evaluation, deployment and update of data-driven models and critical thinking solutions for machine learning (ML) and/or natural language (NL) applications.

  • Research and implement novel ML and statistical approaches to add value to the business. Mentor junior engineers and scientists.

  • Develop and/or apply statistical modeling techniques, in particular, deep learning techniques, optimization methods, and other ML techniques to different applications in business and engineering.

  • Identify problems in healthcare that can benefit from the latest advancement of ML techniques. Break down complex problems into approachable stages and bring concepts to production.

Your Skills and Expertise 

To set you up for success in this role from day one, 3M is looking for candidates who must have the following qualifications:


  • Posses a PhD (completed and verified prior to start) from an accredited institution or Master’s degree (completed and verified prior to start) from an accredited institution and four (4) years of data engineering experience in lieu of a PhD degree education requirement.

  • Four (4) years of experience working with machine learning, or natural language processing in a private, public, government or military environment.

  • Three (3) years of experience in programming and scripting languages like Python and Java

Additional qualifications that could help you succeed even further in this role include:


  • PhD in Machine Learning, Computer Science, Computer Linguistics, or related field.

  • Six (6) years of combined academic and industry research experience.

  • Hands on experience with deep learning toolkits and frameworks like TensorFlow, PyTorch, and/or Keras.

  • Ability to think creatively and resolve challenging problems.

  • Excellent software development experience and problem-solving skills.

  • Publications at top-tier peer-reviewed conferences or journals.

Travel: May include up to 10% domestic

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.

Resources for You

For more details on what happens before, during and after the interview process, check out the Insights for Candidates page at 3M.com/careers.

See job description.