高级研究科学家 (AI)
Senior Research Scientist (AI)
公司简介
Dexcom 公司(纳斯达克股票代码:DXCM)是连续血糖监测(CGM)领域的先驱和全球领导者。Dexcom 最初是一家小公司,怀揣着一个宏大的梦想:永远改变糖尿病的管理方式。解锁能带来更好健康结果的信息和洞察。25 年后的今天,我们已经开创了一个行业。而我们才刚刚开始。我们正在将视野扩展到糖尿病之外,赋能人们掌控自己的健康。这意味着针对重要健康挑战的个性化、可操作的洞察。继续我们已经开始的事业:改善人类健康。
我们由全球成千上万有抱负、充满热情的人所驱动,他们愿意像战士一样奋斗,通过倾听、以诚信服务、大胆思考和值得信赖来赢得客户的信任。我们已经改变了数百万人的生活,我们准备改变更多。我们的未来雄心是成为领先的消费健康科技公司,同时继续开发针对严重健康状况的解决方案。我们将通过不断重塑独特的生物传感技术体验来实现这一目标。虽然我们已从初创时期走得很远,但我们的梦想比以往任何时候都更大。在全球范围内改善健康的机遇就在我们面前。
加入团队:
作为研究科学家,你将是 Dexcom 研发工程团队的关键成员。你将与最新的云计算平台和 AI 技术合作,建立一项雄心勃勃的研究计划,支持我们的使命,使 Dexcom 成为健康 AI 应用领域的行业领导者。作为你所在领域的思想领袖,你将与其他研发相关方紧密合作,设计新颖的模型架构,开发评估流程,构建概念原型,并向组织内外的同行展示你的工作。
你的职责:
- 你帮助确定 AI 模型和应用的长期研究目标以及中间里程碑。
- 你执行推动 AI 领域前沿的研究,如预测健康结果、大型语言模型(LLMs)和生成式 AI。
- 你直接参与 AI 模型的实验训练,包括实验设计、编写可重用代码、运行评估并准备结果以便广泛传播。
- 你将在糖尿病、健康传感和技术领域的顶级会议和期刊上发表研究。
- 你优先考虑研究主题
查看英文原文
The Company
Dexcom Corporation (NASDAQ DXCM) is a pioneer and global leader in continuous glucose monitoring (CGM). Dexcom began as a small company with a big dream: To forever change how diabetes is managed. To unlock information and insights that drive better health outcomes. Here we are 25 years later, having pioneered an industry. And we're just getting started. We are broadening our vision beyond diabetes to empower people to take control of health. That means personalized, actionable insights aimed at solving important health challenges. To continue what we've started: Improving human health.
We are driven by thousands of ambitious, passionate people worldwide who are willing to fight like warriors to earn the trust of our customers by listening, serving with integrity, thinking big, and being dependable. We've already changed millions of lives and we're ready to change millions more. Our future ambition is to become a leading consumer health technology company while continuing to develop solutions for serious health conditions. We'll get there by constantly reinventing unique biosensing-technology experiences. Though we've come a long way from our small company days, our dreams are bigger than ever. The opportunity to improve health on a global scale stands before us.
Meet the team:
As a Research Scientist, you will be a key contributor to Dexcom’s R&D Engineering Team. You will be working with the latest cloud computing platforms and AI technologies to establish an ambitious research program supporting our mission, positioning Dexcom as an industry leader in health AI applications. As a thought leader in your field, you will work closely with other R&D stakeholders to design novel model architectures, develop evaluation pipelines, build concept prototypes, and present your work to peers inside and outside the organization.
Where you come in:
- You help identify long-term research goals as well as intermediate milestones for AI models and applications.
- You execute research that pushes forward the state of the art in AI domains such as predictive health outcomes, large language models (LLMs), and Generative AI.
- You directly contribute to experiments training AI models, including experimental design, writing reusable code, running evaluations, and preparing results for broader circulation.
- You publish research in top tier conferences and journals in the diabetes, health sensing, and technology communities.
- You prioritize research that can support Dexcom’s product development and data strategy.
- You implement new models, tools, and processes used by Dexcom’s core data products team, supporting commercial data product development.
- You coordinate and collaborate with cross-functional teams – including stakeholders from R&D, Commercial, Product, Legal, and Regulatory – to ensure that our research program is aligned with company strategy and meets the highest safety standards.
- You contribute to the evaluation and improvement of the safety of our models and systems, identifying areas of risk and proposing mitigation strategies.
What makes you successful:
- Your track record brainstorming new ideas or improving upon existing ideas in machine learning and AI – including designing and executing experiments – demonstrated by accomplishments such as first author publications or projects.
- You are an adept independent researcher, results-driven, and motivated to solve hard technical challenges including choosing impactful research problems and autonomously carrying out long-running projects.
- Your experience in creating high-performance implementations of deep learning algorithms, including implementing machine learning and statistical inference algorithms in Pytorch, Tensorflow, etc.
- You love being on the cutting edge of machine learning and AI research and have a passion for Dexcom’s mission and health sensing applications.
- You have excellent written and verbal communications skills, and an aptitude for leveraging data visualization software and techniques to tell compelling stories using data.
What you’ll get:
- A front row seat to life changing CGM technology. Learn about our brave #dexcomwarriors community.
- 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.
- An exciting and innovative, industry-leading organization committed to our employees, customers, and the communities we serve.
Travel Required:
- 5-15%
Experience and Education Requirements:
Typically requires a bachelor's degree in a technical discipline, and a minimum of 5-8 years related experience or master's degree and 2-5 years equivalent industry experience or a PhD and 0-2 years' experience.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Dexcom. Only authorized staffing and recruiting agencies may use this site or to submit profiles, applications or resumes on specific requisitions. Dexcom does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to the Talent Acquisition team, Dexcom employees or any other company location. Dexcom is not responsible for any fees related to unsolicited resumes/applications.
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Originally posted on Himalayas