Senior Staff AI/ML Engineer

Abbott

Santa Clara (CA)

On-site

USD 131,000 - 261,000

Full time

14 days+

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Benefits offered by this job

Health coverage

Retirement plan

Tuition reimbursement

Education benefits

Job summary

Abbott seeks a Senior Staff AI/ML Engineer to lead enterprise AI platforms across medical devices. You will shape architecture, ensure governance, and drive production‑grade ML deployments with a cross‑functional team including data scientists, infra, and product managers.

Responsibilities include designing robust CI/CD for ML, safeguarding HIPAA/GDPR compliance, and mentoring engineers while aligning architecture with business strategy.

Qualifications

Bachelor or higher in CS/engineering or math with relevant AI focus.
Extensive experience in ML infrastructure and production systems.
Strong collaboration with scientists, engineers and product teams.

Responsibilities

Lead end-to-end ML infrastructure development and deployment.
Architect scalable hybrid cloud/on-prem ML platforms.
Define AI governance, security by design and compliance controls.
Mentor ML and software engineers and enforce coding standards.
Partner with executives to align tech strategy with business goals.

Skills

GenAI expertise

MLOps

Leadership

Regulatory compliance

Data modeling

Python

AI architecture

Cloud computing

Education

Bachelor's Degree in CS/Engineering/related

Master’s Degree (preferred)

Ph.D. (with 4+ years)

Tools

AWS/Azure/Google Cloud

Docker

Kubernetes

Airflow

Terraform

Azure ML SDK

Databricks

Spark

SQL/NoSQL

Job description

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.

JOB DESCRIPTION:

Our medical devices help more than 10,000 people have healthier hearts, improve quality of life for thousands of people living with chronic pain and movement disorders, and liberate more than 500,000 people with diabetes from routine ﬁngersticks.

Working at Abbott

At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You’ll also have access to:

Career development with an international company where you can grow the career you dream of.
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year
An excellent retirement savings plan with high employer contribution
Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor’s degree.
A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune.
A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists.

THE OPPORTUNITY

This Senior Staff AI/ML Engineer position can work out of our Santa Clara, CA location.

Senior Staff AI/ML Engineerwill provide technical leadership for Abbott’s Medical Devices Digital (MDD) AI initiatives, driving the architecture, scalability, and operational excellence of enterprise AI platforms. This role bridges advanced AI innovation with production-grade engineering, defining technical strategy, establishing best practices for MLOps and AI governance, and leading the design and evolution of robust, scalable AI infrastructure. The Senior Staff AI/ML Engineer will partner closely with data scientists, algorithm developers, infrastructure teams, product leaders, and cross-functional stakeholders to accelerate the deployment of AI solutions, ensure reliability and compliance, and influence the long‑term AI technology roadmap across the organization.

What You’ll Work On

Work on end-to-end MLsolutionsdevelopment and delivery, including data ingestion,annotation,feature engineering, training, validation, deployment, and monitoring.
Architecta highly available, secure, scalable cloud/on‑prem hybrid ML infrastructure.
Engage directly with ML scientists and act as the team’s bridge/glue between science and engineering.
Implement robust CI/CD workflows for ML models, including testing, rollout, rollback strategies, and compliance governance.
Ensure strict compliance with regulatory and privacy standards such as HIPAA, GDPR, and Software as aMedical Device (SaMD) guidelines.
Drive alignment and adoption of architecture strategy with business leaders.
Mentor and guide ML engineers andSW engineers,establishcoding standards, and conduct detailed design and architectural reviews.

Qualifications

BachelorsDegreein Computer Science, Engineering Mathematics, or related field.
Minimum8+ years of experience,Master’s Degreewith 6+ years of related experience, or Ph.D. with4+ years of related experience.
Deep experiencebuildingMLinfrastructurefor experiment tracking,model training,data versioning,annotation tools,model serving,monitoringand observability.
Experience with GenAI and Agentic AI development infrastructure includinggrounding,RAG, MCP and prompt engineering.
Experience developing AI products on cloud computing platforms (e.g., AWS, Azure, Google Cloud), containerization technologies (e.g., Docker, Kubernetes), pipeline orchestration tools (e.g.Airflow),IaC(e,g., Terraform).
Proficient in tools like Azure ML SDK, Azure Data Factory, Databricks, Spark, or related technologies.
Strong understanding of database technologies (e.g., SQL, NoSQL) and data modeling principles.
Significant experienceworking with agile software development methods, such as scrum andKanbanand working within CI/CD pipelines.
Experience incorporating Security by Design principles into AI product development.
Experience of senior executive/leadership engagement.
Exposure to various aspects of architecture practices and frameworks: business, application, data, security,infrastructureand governance.
Experience withmicroservicesarchitecture and distributed systems.
Experience in reviewing and selecting Technical and Applications Architectures solutions.
Certifications and specializations in AI/ML, LLMs and Cloud platforms.
Excellent oral, written and presentation communication skills.
Team leadership experience anddemonstratedmentorship capabilities.

Preferred

Experience working in an FDA-regulated business (e.g. validated software related to medical, pharmaceutical, or life sciences products).
Experience with FDA 510(k) submissions and clinical-grade ML product development.
Solid understanding of the design thinking process, as well as a passion and know-how for influencing design strategy.
Publications, patents, or notable contributions to open‑source projects.
Background in signal processing, computer vision, or multimodal learning.
Familiarity with data security best practices, data anonymization, synthetic data generation, and federated learning.

Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com

Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.

Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott and on Twitter @AbbottNews and @AbbottGlobal

#software

The base pay for this position is

$130,700.00 – $261,300.00

In specific locations, the pay range may vary from the range posted.

JOB FAMILY:

Product Development

DIVISION:

MD Medical Devices

LOCATION:

United States > Santa Clara : Building B - SC

WORK SHIFT: