高级AI/ML平台工程师
Senior AI/ML Platform Engineer
关于Lyra Health
Lyra Health是基于循证的心理健康护理领域的领先提供商,与雇主合作为全球超过2000万人提供服务,并通过健康计划和合作伙伴关系覆盖超过1亿人。公司已提供超过1500万次心理健康护理,发表了35多篇同行评审的研究论文,并在可及性、临床效果和成本效率方面取得了无与伦比的成果。大量经过同行评审的研究证实,Lyra的创新护理模式帮助人们恢复速度提高一倍,并使整体医疗费用每年减少26%。Lyra通过Lyra Empower——唯一一个完全集成的、人工智能驱动的平台,正在改变人们对具有变革性意义的心理健康护理的获取方式,该平台结合了最高质量的护理和科技解决方案。
我们正在寻找一位经验丰富的高级AI/ML平台工程师,热衷于构建必要的平台、基础设施和服务,以交付基于机器学习和生成式AI的产品,这些产品将在组织内产生重大影响。理想的候选人将热衷于对工作负责,领导跨职能项目,并为其他团队成员提供指导和辅导。
如果你
- 喜欢与优秀的团队成员一起解决复杂而有意义的问题
- 对创造社会影响力并支持人们在最困难时刻提供帮助充满热情
- 享受与治疗师、数据科学家、工程师和产品经理进行跨职能协作
那么你就是我们要找的人
在这个职位上,你将
- 成为团队的一员,参与构建我们的机器学习和生成式AI平台,这些平台将被公司各个团队使用
- 创建必要的后端基础设施,以实现可扩展、可靠且高性能的解决方案
- 构建暴露机器学习和AI相关产品的服务
- 部署和管理各种生产环境的应用程序
- 当然,你每天都会进行编码!
我们是一家平等机会雇主。我们不会根据种族、肤色、宗教、性别(包括怀孕)、国籍、年龄、残疾、遗传信息或其他受法律保护的类别来歧视。
通过申请这个职位,你确认你的个人信息将按照Lyra Health的员工隐私通知进行处理。通过此申请,在法律允许的范围内,我们将收集个人相关信息。
查看英文原文
About Lyra Health
Lyra Health is a leading provider of evidence-based mental health care, serving more than 20 million people globally in partnership with employers and more than 100 million through health plan and partner relationships. The company has delivered more than 15 million sessions of mental health care, published more than 35 peer-reviewed studies, and delivered unmatched outcomes in terms of access, clinical effectiveness, and cost efficiency. Extensive peer-reviewed research confirms Lyra’s transformative care model helps people recover twice as fast and results in a 26% annual reduction in overall healthcare claims costs. Lyra is transforming access to life-changing mental health care through Lyra Empower, the only fully integrated, AI-powered platform combining the highest-quality care and technology solutions.
We are looking for an experienced Senior AI/ML Platform Engineer who is eager to build the platforms, infrastructure and services necessary to deliver ML and generative AI based products that make a significant impact within the organization. The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members.
Lyra is for you if you
- Thrive on working with brilliant teammates to solve complex, meaningful problems
- Are passionate about making a social impact and supporting people at their most challenging moments
- Enjoy cross-functional collaboration with therapists, data scientists, engineers and product managers
In this role, you will
- Be part of a team working on building our machine learning and generative AI platforms that will be used by teams across the company
- Create the necessary backend infrastructure to enable scalable, resilient and highly performant solutions
- Build services that expose machine learning and AI based products
- Deploy and manage various applications in production
- And of course, you will be coding every day!
"We are an Equal Opportunity Employer. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, age, disability, genetic information or any other category protected by law.
By applying for this position, you acknowledge that your personal information will be processed as per the Lyra Health Workforce Privacy Notice. Through this application, to the extent permitted by law, we will collect personal information from you including, but not limited to, your name, email address, gender identity, employment information, and phone number for the purposes of recruiting and assessing suitability, aptitude, skills, qualifications, and interests for employment with Lyra. We may also collect information about your race, ethnicity, and sexual orientation, which is considered sensitive personal information under the California Privacy Rights Act (CPRA) and special category data under the UK and EU GDPR. Providing this information is optional and completely voluntary, and if you provide it you consent to Lyra processing it for the purposes as described at the point of collection, for example for diversity and inclusion initiatives. If you are a California resident and would like to limit how we use this information, please use the Limit the Use of My Sensitive Personal Information form. This information will only be retained for as long as needed to fulfill the purposes for which it was collected, as described above. Please note that Lyra does not “sell” or “share” personal information as defined by the CPRA. Outside of the United States, for example in the EU, Switzerland and the UK, you may have the right to request access to, or a copy of, your personal information, including in a portable format; request that we delete your information from our systems; object to or restrict processing of your information; or correct inaccurate or outdated personal information in our systems. These rights may be subject to legal limitations. To exercise your data privacy rights outside of the United States, please contact globaldpo@lyrahealth.com. For more information about how we use and retain your information, please see our Workforce Privacy Notice."
We are looking for someone with:
- 6+ years of experience delivering production ready products
- Ability to write high-quality code in Python
- Experience with modern async Python web frameworks (e.g., FastAPI) and handling data streaming (WebSockets, Server-Sent Events)
- Experience working with Docker and deploying applications to Kubernetes
- Experience with relational and low-latency databases
- Experience building RAG based AI solutions
- Experience setting up and maintaining vector databases
- Familiarity with LLM orchestration frameworks (e.g., LangChain, LlamaIndex) and integrating with foundation model APIs (e.g., OpenAI, Anthropic, AWS Bedrock)
- A desire to learn new technologies quickly
- A love of building systems from scratch
- A thoughtful approach to balancing quality and deadlines in fast-paced settings
- Excellent communication skills with a talent for building consensus and alignment
- Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward
Nice to haves:
- Experience with Graph Databases (e.g., Neo4j, AWS Neptune) and integrating them into AI/Knowledge systems (e.g., GraphRAG)
- Experience with LLM observability and monitoring tools (e.g., Langfuse) to track latency, token usage, and output quality.
- Experience working with Celery
- Experience defining and using Protobuf messages
- Experience writing production code in Java/Kotlin
- Experience building solutions on cloud infrastructure, particularly AWS
- Experience working with highly sensitive data in a healthcare environment