Staff AI/ML Engineer, Data Products – AI

Job not on LinkedIn

🔥 4 minutes ago

🇺🇸 United States – Remote

💵 $164.2k - $273.6k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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Dexcom

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

🏥 Healthcare

💼 Consulting

🏭 Manufacturing

Healthcare • Consulting • Manufacturing

Dexcom is a leading provider of continuous glucose monitoring (CGM) systems, revolutionizing how people manage diabetes and track their glucose levels. Known for their best-in-class glucose biosensing technology, Dexcom offers products like the Dexcom G7 CGM system, which provides real-time glucose monitoring and insights to help individuals become healthier. Founded in 1999, Dexcom has consistently innovated in the field of diabetes management, empowering users to take control of their health with accurate and advanced glucose monitoring solutions. Their products are designed for both adults and children and do not require a prescription.

📋 Description

• Set technical direction and architect end-to-end AI/ML capabilities spanning multiple teams and products • Own the lifecycle from concept and experimental design through production deployment • Write reusable, production-quality code and reference implementations • Solve complex modeling problems using predictive models and generative AI, including LLMs • Improve model behavior through model selection, prompting, retrieval, feature engineering, fine-tuning, and retraining • Define evaluation and safety standards, metrics, benchmarks, monitoring, and responsible-AI practices • Shape technical strategy and roadmap while balancing performance, latency, cost, safety, and regulatory requirements • Improve training, serving, CI/CD pipelines, standards, patterns, and infrastructure • Partner with R&D, Commercial, Product, Legal, and Regulatory stakeholders • Mentor and provide technical guidance to engineers • Communicate complex methods and results to technical and non-technical audiences, including senior leadership

🎯 Requirements

• Bachelor’s degree in a technical discipline and 8–12 years related experience, or Master’s degree and 5–7 years equivalent industry experience, or PhD and 2–4 years of experience • Deep, advanced expertise in AI/ML with strong computer science fundamentals • Extensive hands-on experience with Python and modern AI/ML libraries and frameworks • Track record of delivering AI/ML systems to production and operating them reliably at scale • Experience with evaluation, deployment, monitoring, and MLOps practices • Experience designing scalable, cloud-based AI/ML solutions • Experience working with large datasets in distributed environments • Strong software engineering and testing standards • Demonstrated technical leadership, influence, and mentoring experience • Responsible-AI mindset attentive to safety, reliability, and risk in regulated, high-stakes settings • Passion for AI/ML, emerging technologies, and health-sensing applications • Willingness to travel 5–15%

🏖️ Benefits

• 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 • Innovative, industry-leading organization committed to employees, customers, and communities • Home office workplace • Flex workplace option may be available for those within commuting distance of a Dexcom site