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Oracle Principal Machine Learning Engineer in Boston, Massachusetts

Job Description

Design, develop, troubleshoot and debug software programs for databases, applications, tools, networks etc.

As a member of the software engineering division, you will take an active role in the definition and evolution of standard practices and procedures. Define specifications for significant new projects and specify, design and develop software according to those specifications. You will perform professional software development tasks associated with the developing, designing and debugging of software applications or operating systems.

Provide leadership and expertise in the development of new products/services/processes, frequently operating at the leading edge of technology. Recommends and justifies major changes to existing products/services/processes. BS or MS degree or equivalent experience relevant to functional area. 8 or more years of software engineering or related experience.

If you are a Colorado resident, Please Contact us or Email us at to receive compensation and benefits information for this role. Please include this Job ID: 167443 in the subject line of the email.


Principal Machine Learning Engineer - ML Ops for Healthcare

The healthcare industry continues to face profound change that’s driven by the COVID-19 pandemic, as well as evolving regulations, changing users’ expectations, and innovations in health technology. Hospitals and health systems are working to improve patient care while reducing the burden on healthcare providers. Life sciences companies are working to quickly bring safe and effective medicines to market. Payers and governments are working to improve outcomes by obtaining a more complete view of each person they serve.

At Oracle’s Healthcare Global Business Unit (HCGBU) we are using a startup-like approach to build a clean and scalable platform and products to not only address today’s needs of hospitals & health systems, life science and biotechnology technology companies, research institutes etc. but also help them meet the demands of tomorrow.

Are you interested in joining a purpose-driven organization that is committed to doing its part to advance the frontiers of human health, contributing to the development of life-saving products for quicker diagnoses, better patient outcomes, and ground-breaking biomedical research, and developing technology products that are at the intersection of Cloud, Machine Learning (ML), Bioinformatics and Omics sciences (such as Genomics)? If you answered yes to any of these questions, we would love to talk to you!

What do we offer?

At every level, our engineers have a significant technical and business impact designing and building innovative new capabilities to power our Healthcare focused cloud applications and platforms.

We provide unique opportunities to hands-on engineers to not only own and operate a world-class machine learning platform but also to envision and define new health care ML capabilities that would enable state of the art Data Science based experiences for customers worldwide.


  • Automate machine learning pipelines, enable scalable development of resilient machine learning systems, and operate machine learning systems & models in production

  • Apply MLOps principles to set up and operate MLOps infrastructure

  • Define and implement data validation strategies

  • Operate ML projects and monitor complex machine learning models in production

  • Retrain machine learning models based on performance, insights, and feedback from production

  • Ensure quality of deployed machine learning models and scalability of ML model development

  • Collaborate with data scientists on developing and evaluating machine learning models using large datasets

Minimum qualifications:

A strong candidate will have

  • Bachelor’s in computer science, Data Science or related field

  • 5+ years in engineering or data science roles with focus on machine learning

  • 3+ years of hands-on experience as a Machine Learning Engineer

  • Experience with Machine Learning development process, deploying and operating ML models in production

  • Experience with applying MLOps principles incl. Continuous Integration (CI), Continuous Delivery (CD), Continuous Training (CT) and Continuous Monitoring (CM) to scale machine learning development

  • Experience with MLOps services and tools (e.g. Kubeflow, MLFlow, Sagemaker Pipelines, Vertex Pipelines, etc.)

  • Experience with containerization and management (K8s, Docker)

  • Experience with cloud infrastructure – Oracle Cloud Infrastructure (OCI), AWS, Azure or Google Cloud

Preferred qualifications:

  • MS in Artificial Intelligence, Machine Learning or Data Science

  • Experience in Auto ML systems and packages

  • Experience with Oracle Cloud Infrastructure (OCI)

About Us

Diversity and Inclusion:

An Oracle career can span industries, roles, Countries and cultures, giving you the opportunity to flourish in new roles and innovate, while blending work life in. Oracle has thrived through 40+ years of change by innovating and operating with integrity while delivering for the top companies in almost every industry.

In order to nurture the talent that makes this happen, we are committed to an inclusive culture that celebrates and values diverse insights and perspectives, a workforce that inspires thought leadership and innovation.

Oracle offers a highly competitive suite of Employee Benefits designed on the principles of parity, consistency, and affordability. The overall package includes certain core elements such as Medical, Life Insurance, access to Retirement Planning, and much more. We also encourage our employees to engage in the culture of giving back to the communities where we live and do business.

At Oracle, we believe that innovation starts with diversity and inclusion and to create the future we need talent from various backgrounds, perspectives, and abilities. We ensure that individuals with disabilities are provided reasonable accommodation to successfully participate in the job application, interview process, and in potential roles. to perform crucial job functions.

That’s why we’re committed to creating a workforce where all individuals can do their best work. It’s when everyone’s voice is heard and valued that we’re inspired to go beyond what’s been done before.


Oracle is an Equal Employment Opportunity Employer * . All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

* Which includes being a United States Affirmative Action Employer