Machine Learning Engineer

 

At Solventum, we improve lives by helping healthcare professionals do their best work. Join a team using innovation and insight to make a real impact on the future of healthcare. All roles listed are with Solventum, and we’re committed to protecting your personal information—learn more in our Privacy Policy: https://www.solventum.com/en-us/home/legal/website-privacy-statement/applicant-privacy/

Job Description:

Job Description: ML Engineer

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 an ML Engineer, you will be responsible for building and maintaining the pipelines that power AI in our Healthcare Information Systems (HIS). We are looking for a practical, detail-oriented engineer who is passionate about MLOps, data reliability, and production stability.

In this role, you won’t just be building models; you will be ensuring those models work reliably in the real world. You will help bridge the gap between data science and software engineering by implementing automated workflows, managing cloud infrastructure, and ensuring our AI services are secure and scalable.

Key Responsibilities

1. MLOps & Deployment

• Pipeline Development: Build and maintain CI/CD pipelines for machine learning, focusing on automated testing, model deployment, and version control (using tools like MLflow or Git).
• Model Serving: Deploy ML models as scalable APIs and microservices, ensuring they meet performance and latency requirements for clinical use.
• Monitoring: Implement basic monitoring tools to track model performance, data drift, and system health in production.

2. Data Engineering & Integration

• Data Pipelines: Develop and optimize ETL processes to transform healthcare data (FHIR, HL7) into clean, usable datasets for model training and inference.
• Feature Management: Help build and maintain feature stores and data layers that ensure consistency between training and production environments.
• System Integration: Work closely with backend teams to integrate ML outputs into our core healthcare applications.

3. Engineering Best Practices

• Code Quality: Write clean, maintainable, and well-documented Python code. Participate in code reviews to ensure system reliability.
• Containerization: Use Docker and Kubernetes to package and orchestrate ML workloads across different environments.
• Security & Compliance: Follow established protocols to ensure all data handling and deployments meet HIPAA and HITRUST security standards.

Your Skills and Expertise 
To set you up for success in this role from day one, Solventum requires (at a minimum) the following qualifications:

• Bachelor’s degree or higher in Computer Science, Software Engineering, Data Engineering, or a related field. and 6+ years of professional experience in software engineering or data engineering

AND

• 5 years of experience in Python and familiarity with SQL.
• 2 years of experience working in machine learning production environments
• 5 years of experience with AWS and containerization (Docker).
• 3 years of experience working with Java
• 3 years of experience with ML libraries (PyTorch or Scikit-learn) and MLOps tools (like Airflow, Prefect, BentoML, or Kubeflow).
• 4 years with data processing frameworks (like Pandas, Spark, or dbt).

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

• Familiarity with deploying Large Language Models (LLMs) or using frameworks like LangChain.
• Experience working in a regulated environment (Healthcare, Finance, etc.).
• Understanding of API design and microservices architecture.

Work location:

• Remote

Travel: May include up to 10% domestic

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. 

By applying to this position, you acknowledge that Solventum recently publicly announced its intention to divest its Health Information Systems Business. See Solventum Announces Intent to Separate its Health Information Systems Business :: Solventum Corporation Newsroom. No decision has been made regarding the ultimate structure or timing of any potential transaction, and there can be no assurance that a separation will occur. Any transaction would be subject to customary approvals, including approval by Solventum's Board of Directors, regulatory requirements and other customary conditions. This position supports the Health Information Systems Business. If a future transaction involving that business were to occur, the impact on this role would be determined as part of that process and would remain subject to applicable legal requirements, approvals and business decisions.

Onboarding Requirement: To improve the onboarding experience, you will have an opportunity to meet with your manager and other new employees as part of the Solventum new employee orientation. As a result, new employees hired for this position will be required to travel to a designated company location for on-site onboarding during their initial days of employment. Travel arrangements and related expenses will be coordinated and paid for by the company in accordance with its travel policy. Applies to new hires with a start date of October 1st 2025 or later.

Applicable to US Applicants Only:The expected compensation range for this position is $124,000 - $170,500, 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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