Senior ML/NLU Engineer - Solventum

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: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/ continues 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 qualified 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:

3M Health Care is now Solventum

At 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.

The Impact You’ll Make in This Role

As a Senior Machine Learning (ML) & Natural Language Understanding (NLU) 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:

• Design, develop, and maintain scalable cloud-based ML systems, ensuring reliability and performance in production environments. 

• Integrate ML systems into existing NLU pipelines to enhance functionality and accuracy. 

• Collaborate closely with Clinical Subject Matter Experts, Application Engineers, and Product Teams to support the end-to-end execution of ML-based solutions. 

Your Skills and Expertise

• Bachelor’s Degree or higher (completed and verified prior to start) from an accredited university AND five (5) years of experience in software industry in a private, public, government or military environment.

OR

• High School Diploma/GED from an accredited institution and a minimum of nine (9) years of experience in software industry in a private, public, government or military environment.

AND

In addition to the above requirements, the following are also required:

• Five (5) years of software development experience using one or more of the following: Java or Python

• Two (2) years of experience with containerization technology such as Docker, Kubernetes or AWS ECS

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

• Master’s degree in Computer Science, Software Engineering, or a related field. 

• Experience in data science with large datasets. 

• Proficiency with ML tools like PyTorch, TensorFlow, Apache Spark, and MLflow. 

• Strong software engineering skills, including documentation, testing, and validation. 

• Experience with Git and distributed version control systems. 

• Familiarity with Agile/Scrum methodologies. 

• Knowledge of SQL and NoSQL databases. 

• Experience coding in Linux/Unix environments. 

Work location:

·        Remote

 

Travel: May include up to 10% domestic/international

Relocation Assistance: Not authorized

 

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

 

Supporting Your Well-being 

Solventum offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, Solventum regularly benchmarks with other companies that are comparable in size and scope. 

Applicable to US Applicants Only:The expected compensation range for this position is $119,076 - $145,537, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.). Additional information is available at: https://www.solventum.com/en-us/home/our-company/careers/#Total-Rewards

Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Solventum is committed to maintaining the highest standards of integrity and professionalism in our recruitment process.  Applicants must remain alert to fraudulent job postings and recruitment schemes that falsely claim to represent Solventum and seek to exploit job seekers.

Please note that all email communications from Solventum regarding job opportunities with the company will be from an email with a domain of @solventum.com. Be wary of unsolicited emails or messages regarding Solventum job opportunities from emails with other email domains.

Please note, Solventum does not expect candidates in this position to perform work in the unincorporated areas of Los Angeles County.

Solventum is an equal opportunity employer.  Solventum  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.

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