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 diversity of people, global locations, technologies and products, 3M is a place where you can collaborate with 93,000 other curious, creative 3Mers.
"At 3M, we want to make sure that everyone, from all walks of life, know they can share their opinions, they're heard, and change is made based on their input." - Ann Anaya, chief diversity officer 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
Do you have a background in software development and experience with machine learning? Are you interested in working within an experienced team of researchers and data scientists to innovate health information systems? 3M HIS is seeking a junior machine learning engineer to join our growing Natural Language Understanding (NLU) team. This team excels at building products and services based on machine learning technologies. The ideal candidate will possess a genuine interest in NLU, artificial intelligence, and machine learning; coupled with experience applying these concepts to real-world problems. The major tasks you will be responsible for include:
Model building and training
Monitoring of model performance
Your Skills and Expertise To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
Bachelor's Degree or higher from(completed and verified prior to start) an accredited university OR High School Diploma/GED or higher(completed and verified prior to start) from an accredited institution and a minimum of six (6) years experience in computer science and/or Machine Learning field in lieu of the Bachelor's degree education requirement
Two (2) years of software development experience
Experience with machine learning technologies
Experience with and general knowledge of NLU as it relates to machine learning
Experience coding in languages such as Python, Java, Scala, or R
Additional qualifications that could help you succeed even further in this role include:
Experience with software development in the cloud
Comfortable with machine learning algorithms for supervised and unsupervised learning
Familiarity with deep learning and related frameworks
Three (3) years of software development experience
Three (3) years experience with machine learning technologies
Solid experience applying deep learning to complex NLP problems
Familiarity with all phases of the software development life cycle
Ability to solve complex problems in a logical, methodical, and efficient manner
Excellent communicator in both the written and spoken word
Travel: Occasional travel may be required
Relocation Assistance: May be authorized
Location: Pittsburgh, PA
Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).
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.
Learn more about 3M's creative solutions to the world's problems at www.3M.com or on Twitter @3M. Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties. 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.
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.
Internal Number: R01042548
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