Sr. Staff AI/ML Scientist

Abbott

Quick summary

Work type: On-site
Location: Santa Clara, CA
Salary: $130,700–$261,300 / yr
Posted: 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $219k

This role $196k

$115k most similar roles pay here $278k

This role pays less than 70% of similar roles. Most pay $186,025–$251,750 — the shaded band above. At the midpoint, this role pays about $196k versus about $219k for comparable roles.

Based on 240 similar postings.

Employer

About Abbott

Abbott Laboratories is a global healthcare company that manufactures and markets a broad and diversified line of health care products including diagnostics, medical devices, nutritionals, and branded generic pharmaceuticals. Industry: Healthcare & Medical Devices

Abbott currently has 56 open roles on FindRole.

Listed pay typically runs $113,300–$226,700 across 54 roles with salary data.

Most-posted roles

View all roles at Abbott

At a glance

TL;DR · Sr. Staff AI/ML Scientist

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The Principal ML Engineer will join Abbott’s Medical Devices Digital Solutions team in Chicago, leading technical execution for AI initiatives that enhance medical devices. This role involves developing and maintaining a robust AI development framework, architecting scalable cloud/on-prem hybrid infrastructure, and collaborating with data scientists to deploy production-ready solutions while ensuring compliance with regulatory standards like HIPAA and GDPR. Key responsibilities include building CI/CD workflows, mentoring team members, and evaluating emerging technologies such as large language models and multimodal machine learning techniques. The ideal candidate has extensive experience in ML solution deployment using Python, Azure OpenAI, and Azure Databricks, along with a strong background in medical device technology and FDA-regulated environments.

Skills

Python Azure Databricks CI/CD NLP Azure OpenAI Kubernetes Terraform PostgreSQL AWS RabbitMQ Redis Docker Prometheus Grafana HIPAA GDPR SaMD Microservices FDA 510(k) Signal Processing Computer Vision MLOps

What you'll do

Lead end-to-end ML solutions development and deployment.
Architect scalable cloud/on-prem hybrid ML infrastructure.
Collaborate with data scientists to translate concepts into production-ready software.
Implement CI/CD workflows for ML models, including testing and compliance governance.
Evaluate and pilot emerging AI technologies like large language models.

What we're looking for

Minimum 10 years of experience in Machine Learning with hands-on Python programming.
Strong background in building and deploying ML solutions, including model productionization and CI/CD automation.
Expertise in AI/ML techniques, feature analysis, algorithm selection, and hyperparameter tuning.
Experience in senior executive engagement and leadership roles with mentorship capabilities.
Knowledge of cloud platforms (Azure OpenAI, Azure Databricks) and regulatory compliance (HIPAA, GDPR).
Familiarity with medical device industry standards and FDA-regulated software development.

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