远程工作雷达

高级应用研究员 AI/ML(CAD)

Senior Applied Researcher AI/ML ( CAD)

AI限定地区(需当地身份)
公司Pointclickcare
薪资未公开
工作地点Remote, Canada
地域资格限定地区(需当地身份)
时区要求无特别要求
用工类型Full-Time
发布时间未知
数据来源Lever
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注意地域限制:该职位明确限定在 Remote, Canada 招聘。如果你是位于中国大陆的求职者,通常需要当地工作身份才能投递,或需与雇主确认是否接受独立合同(Contractor)形式合作。

在PointClickCare,我们的使命很简单:帮助医护人员提供卓越的护理。这一切从我们的员工开始。作为一家由创始人领导并私有的健康科技公司,我们赋能员工突破界限、创新并塑造医疗保健的未来。
我们拥有最大的长期和后急性护理数据集,并有400多家集成合作伙伴的市场,我们的平台服务于超过30,000家医疗机构,真正改变了数百万人的生活。我们还将相当大比例的收入重新投入研发,确保员工拥有创新和产生持久影响的资源。我们被福布斯评为顶级私营云公司之一,并被评为加拿大最受推崇的企业文化之一,我们提供灵活性、成长机会和有意义的工作。
在PointClickCare,我们赋能员工成为更智能医疗保健未来的建筑师;一个以人类为中心、由人工智能加速的未来,创造有意义且持久的改变。员工利用人工智能作为创造力、生产力和深思熟虑决策的催化剂。通过将人工智能工具整合到日常工作中,协作得到增强,结果得到改善,每位团队成员都能具备最大化自身影响的能力。这一切始于我们的招聘实践,我们寻找能够与我们的使命相辅相成的人工智能专业知识,并持续投资于培训和发展,以在整个员工旅程中培养创新精神。
加入我们,重新定义医疗保健——让它不仅生存,而是蓬勃发展。要了解更多关于PointClickCare的信息,请查看Life at PointClickCare,并在Glassdoor和LinkedIn上与我们联系。
**办公室出行期望**

对于远程职位:如果该职位是远程的,将需要前往多伦多和/或盐湖城办公室参加现场活动。这些包括但不限于入职、团队活动、半年度和年度团队会议。

对于混合职位:如果该职位是混合的,将要求居住在职位描述中指定的办公室/地点的通勤距离内。这包括但不限于每周/每两周/每月与特定团队在办公室举行的活动。这是该职位的要求。
职位
向高级技术副总裁汇报,你将成为PointClickCare高级技术/应用AI研究团队的一员。
你是一位才华横溢的高级应用研究员,专注于人工智能。

查看英文原文

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

**Travel to Office expectations**
For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

The Role

Reporting to the Vice President, Advanced Technology, you will be a member of the Advanced Technology / Applied AI Research team at PointClickCare.

You are a talented Senior Applied Researcher in AI / Machine Learning, looking to make a difference solving critical customer and business challenges in the dynamic healthcare market. You thrive applying creative and pragmatic solutions—from framing problems and preparing data, to selecting appropriate techniques, building and evaluating model systems—that will truly transform healthcare and enable our customers to deliver exceptional care.

Responsibilities

- Apply machine learning and AI techniques including GenAI and LLM-based approaches to develop model systems and solutions, collaborating across functions to scale and integrate these into large-scale cloud-based SaaS production environments for healthcare.

- Work with product leaders, clinical informaticists, data scientists, UI/UX researchers, engineers, and healthcare professionals to design and deliver high value solutions.

- Design, build and evaluate solutions that may involve structured or unstructured data for healthcare use cases, delivering capabilities such as predictive models, summarization, recommenders, semantic search, extraction, classification, or other AI/ML applications

- Perform research and experimentation to select appropriate approaches, algorithms, and evaluation methods, and execute the R&D needed to deliver production-ready model systems.

- Perform data collection, cleaning, analysis, prompt tuning, parameter fine-tuning, model training, development, and evaluation—using existing or developing new tools or workflows as needed.

- Apply and help evolve responsible AI evaluation practices, using approaches and frameworks such as LLM-as-judge, RAGAS, and LangSmith, and design and implement custom model performance and quality metrics as needed to ensure model quality, fairness, and safety at scale.

- Contribute to a collaborative team culture, sharing knowledge and helping develop new capabilities across the organization.

Required Experience

- Ph.D grad, with 1+ years related industry experience OR Masters grad with 4+ years industry experience--including at least 1 year directly related to healthcare ML/AI

- Proven industry experience through multiple major product releases in a commercial SaaS environment.

- Hands-on experience working with healthcare data (e.g. EHR, ADT, clinical notes).

- Proficiency in Python. Proficiency in Java or other languages helpful.

- Proficiency with SQL and data engineering for AI/ML applications.

- Experience working with large datasets using big data frameworks (e.g. Azure Data Lake, Apache Spark or Databricks)

- Solid understanding of transformer models and LLM-based approaches, including hands-on experience with prompt tuning and PEFT methods (e.g. LoRA, QLoRA) using frameworks such as Hugging Face Transformers.

- Experience building and evaluating models using modern ML packages such as NumPy, SciPy, Pandas, Scikit-learn, PyTorch, and LightGBM.

- Experience building and deploying models using public cloud infrastructure (Azure, AWS, or Google Cloud), including familiarity with version control, CI/CD pipelines, and scaling considerations for production ML systems at SaaS scale.

- Strong communication and collaboration skills; comfortable working on a distributed team.

- Experience with one or more of: reinforcement learning or RLHF, NLP techniques for summarization, extraction, classification, or semantic search, retrieval-augmented generation (RAG) pipelines and/or agentic frameworks (e.g. LangChain, LlamaIndex).

#LI-AV1

#LI-remote 
PointClickCare Benefits & Perks:

Benefits starting from Day 1!
Retirement Plan Matching
Flexible Paid Time Off
Wellness Support Programs and Resources
Parental & Caregiver Leaves
Fertility & Adoption Support
Continuous Development Support Program
Employee Assistance Program
Allyship and Inclusion Communities
Employee Recognition … and more!

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact recruitment@pointclickcare.com should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: recruitment@pointclickcare.com

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.

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