Collaborate with Innovative 3Mers Around the World
Are you a creative and thoughtful researcher? Do you want to apply your skills to make a meaningful impact on the world? Join our team of international researchers and engineers in Pittsburgh PA to help improve patient care and clinical workflows by advancing our computer assisted coding technology.
We are looking for candidates who are familiar with the research methodologies -- devising, implementing and evaluating algorithms - who show passion for learning new technologies and improving the state of healthcare IT. We are actively recruiting researchers who will work with our team to develop cutting edge technology to solve problems in the fields of Natural Language Processing, Machine Learning, and Artificial Intelligence.
Together we can change the way how physicians document patient encounters, allowing them to focus on what matters most - caring for the patient.
"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:
Critical thinking and development of solutions for machine learning (ML) and/or natural language (NL) applications.
Developing and/or applying statistical modeling techniques; in particular, deep learning, optimization, and other ML techniques to different applications in business and engineering.
Researching and implementing novel ML and statistical approaches to add value to the business.
Identifying problems in healthcare that can benefit from the latest advancements in ML.
Breaking down complex problems into approachable stages and bringing concepts to production.
Your Skills and Expertise
To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:
PhD (completed and verified prior to start) from an accredited institution
Three (3) years of experience programming in languages such as Python or Java
Five (3) years of experience with Machine Learning in academia or industry
One (1) year of experience with Deep Learning and Natural Language Processing
One (1) year of experience with Unix/Linux environments
Additional qualifications that could help you succeed even further in this role include:
PhD in Machine Learning, Computer Science, Computational Linguistics, or related fields.
Five (5+) years of combined academic and industrial research experience.
Solid software development experience and problem-solving skills.
Hands on experience with deep learning toolkits and frameworks like PyTorch or TensorFlow.
Ability to explore new ideas, and ability to design and execute on research agenda.
Publications at top-tier peer-reviewed conferences or journals.
Relocation Assistance: May beauthorized
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: R01047784
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