1 day ago
Base Salary
$164k - $274k/yr
Responsibilities
- Set technical direction and architect end-to-end AI/ML capabilities across multiple teams and products.
- Build and optimize production AI/ML features using predictive models, generative AI, and large language models.
- Improve model behavior through model selection, prompting, retrieval, feature engineering, fine-tuning, and retraining.
- Define evaluation metrics, benchmarks, monitoring, safety standards, risk mitigations, and responsible-AI practices.
- Shape technical strategy and roadmaps while balancing performance, latency, cost, safety, and regulatory requirements.
- Improve AI/ML training, serving, CI/CD pipelines, standards, patterns, and infrastructure for reliable and observable systems.
- Partner with R&D, Commercial, Product, Legal, and Regulatory stakeholders to align technical direction with company strategy.
- Mentor engineers, provide technical guidance, and communicate complex methods and results to technical and non-technical audiences.
Requirements
- Bachelor’s degree in a technical discipline and 8–12 years of related experience, or a master’s degree and 5–7 years of equivalent industry experience, or a PhD and 2–4 years of experience.
- Deep, advanced AI/ML expertise with strong computer science fundamentals and 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, including evaluation, deployment, monitoring, and MLOps practices.
- Experience designing scalable cloud-based AI/ML solutions and working with large datasets in distributed environments.
- Strong software engineering and testing standards applied to AI/ML work.
- Demonstrated technical leadership and influence beyond individual projects, including setting direction, driving alignment, and mentoring engineers.
- Responsible-AI mindset with attention to model safety, reliability, and risk in regulated, high-stakes settings.
- Willingness to travel 5–15%.
Benefits
- Comprehensive benefits program.
- Global growth opportunities and access to in-house learning programs and/or qualified tuition reimbursement.
- Remote home-office workplace; employees within approximately 75 miles/120 km of a Dexcom site may have access to a hybrid environment, including a Flex workplace option.
- Opportunity to work on life-changing continuous glucose monitoring technology in an innovative, industry-leading organization.
Tech Stack
Categories
About Dexcom
Dexcom designs and manufactures continuous glucose monitoring (CGM) systems for people with diabetes, combining wearable sensors with transmitters, mobile apps, and cloud data services. It sells devices and disposable sensors through pharmacies, durable medical equipment channels, and healthcare providers, often covered by insurance. Founded in 1999 and headquartered in San Diego, Dexcom is a public company traded on NASDAQ (DXCM).