Senior AI/ML Engineer, Data Product & AI

Dexcom

. Architect end-to-end AI/ML product capabilities from concept and experimental design through training, evaluation, and production deployment .

Posted 10/15/2026full-timeRemote • United StatesSenior💰 $135,100 - $225,100 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying AI/ML systems, with a strong focus on model performance, safety, and regulatory compliance. Proficient in Python and modern AI/ML frameworks, with a commitment to responsible AI practices and effective communication across technical and non-technical stakeholders.

Highest-signal resume keywords

AI/ML System ArchitecturePython ProgrammingMLOps PracticesCloud-Based AI/ML SolutionsResponsible AI Mindset

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML Product DevelopmentModel SelectionFeature EngineeringModel Fine-TuningEvaluation MetricsPredictive ModelingGenerative AI FeaturesCI/CD PipelinesLarge Dataset ManagementSoftware Engineering Practices

Soft Skills

Excellent Communication SkillsCollaboration with Stakeholders

Industry Keywords

Regulatory RequirementsModel SafetyModel ReliabilityHigh-Stakes SettingsDistributed Environments

Tech Stack

Tools & technologies

CloudPython

About the role

Key responsibilities & impact

Architect end-to-end AI/ML product capabilities from concept and experimental design through training, evaluation, and production deployment
Write reusable, production-quality code
Build and optimize predictive-model and generative-AI product features, including LLM-powered features
Improve model behavior through model selection, prompting, retrieval, feature engineering, fine-tuning, or retraining
Define evaluation metrics, benchmarks, and monitoring
Identify model and system risks and drive mitigations and responsible-AI practices
Lead technical strategy balancing model performance, latency, cost, safety, and regulatory requirements
Deploy and scale AI/ML systems in production
Build and improve training, serving, and CI/CD pipelines
Collaborate with R&D, Commercial, Product, Legal, and Regulatory stakeholders
Communicate complex methodologies and results to technical and non-technical audiences

Requirements

What you’ll need

Bachelor’s degree in a technical discipline and 5-8 years related experience, or Master’s degree and 2-5 years equivalent industry experience, or PhD and 0-2 years experience
Strong computer science fundamentals
Hands-on experience with Python and modern AI/ML libraries and frameworks
Experience taking AI/ML systems to production and operating them reliably at scale
Experience with evaluation, deployment, monitoring, and MLOps practices
Experience building scalable, cloud-based AI/ML solutions
Comfortable working with large datasets in distributed environments
Familiarity with modern software engineering and test tooling
Responsible-AI mindset focused on model safety, reliability, and risk in regulated, high-stakes settings
Excellent written and verbal communication skills
Willingness to travel 5-15%

Benefits

Comp & perks

A full and comprehensive benefits program
Growth opportunities on a global scale
Access to career development through in-house learning programs and/or qualified tuition reimbursement
Home office workplace
Potential hybrid working environment or Flex workplace option if residing within commuting distance of a Dexcom site