高级机器学习工程师（ML/AI）
Senior ML Engineer (ML/AI)
关于 Lyra Health
Lyra Health 是一家领先的基于循证的心理健康护理服务提供商，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 的创新护理模式使人们恢复速度提高一倍，并导致整体医疗费用每年减少 26%。Lyra 通过 Lyra Empower 平台，打造了唯一一个完全集成的、人工智能驱动的平台，将最高质量的护理和科技解决方案相结合，从而改变人们对改变人生的心理健康护理的获取方式。
职位描述
我们正在寻找一位经验丰富的高级 AI/ML 工程师，负责设计、开发和部署我们平台的下一代 AI 能力。在这个职位上，你不仅仅是在一个沙盒中训练模型——你将构建稳健、可扩展的生产系统，整合预测分析、自然语言处理（NLP）和生成式 AI 来解决复杂的真实世界问题。
作为团队中的资深成员，你将在数据科学研究和生产级软件工程之间架起桥梁，同时指导初级工程师并影响我们的 AI 产品路线图。
如果你：
- 喜欢与优秀的团队合作，解决复杂而有意义的问题
- 对产生社会影响充满热情，支持人们在最困难的时刻
- 享受与医生、治疗师、数据科学家、数据分析师和产品经理进行跨职能协作
职责
- 设计、训练、微调和评估深度学习、传统机器学习和基础生成式 AI 模型（LLM、扩散模型），以推动核心产品功能。
- 构建、扩展和维护稳健的 ML 管道，用于持续训练、评估以及实时/批量推理，使用现代 MLOps 框架。
- 与后端和前端团队合作，将 AI 模型集成到微服务中，确保低延迟、高可用性和最佳资源利用率。
- 架构可扩展的数据管道，用于大规模结构化和非结构化数据集的预处理、向量化和摄入。
- 实施严格的评估框架，用于模型对齐、偏差缓解和模型监控。
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.
About the Role
We are looking for an experienced Senior AI/ML Engineer to spearhead the design, development, and deployment of next-generation AI capabilities for our platform. In this role, you won't just train models in a sandbox—you will architect robust, scalable production systems that integrate predictive analytics, Natural Language Processing (NLP), and Generative AI to solve complex, real-world problems.
As a senior member of the team, you will bridge the gap between data science research and production-grade software engineering, while mentoring junior engineers and influencing our AI product roadmap.
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 physicians, therapists, data scientists, data analysts and product managers
Responsibilities
- Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features.
- Build, scale, and maintain robust ML pipelines for continuous training, evaluation, and real-time/batch inference using modern MLOps frameworks.
- Collaborate with backend and frontend teams to integrate AI models into microservices, ensuring low latency, high availability, and optimal resource utilization.
- Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of massive structured and unstructured datasets.
- Implement rigorous evaluation frameworks for model alignment, bias mitigation, guardrailing, and cost/latency optimization (e.g., quantization, distillation).
- Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering.
Qualifications
- 6+ years of experience deploying ML/AI solutions in production environments
- Ability to write high-quality code in Python
- Experience building RAG (retrieval-augmented generation) based solutions
- Experience setting up and maintaining vector databases
- A strong desire to work on ML/AI based products
- A desire to learn new technologies quickly
- 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
Preferred Qualifications
- Experience defining and using Protobuf messages
- Experience working with Docker and deploying applications to Kubernetes
- Experience with relational and low-latency databases
- Experience working with Celery
- Experience building RAG (retrieval-augmented generation) based solutions
- Experience setting up and maintaining vector databases
- 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
"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 . For more information about how we use and retain your information, please see our Workforce Privacy Notice."
Originally posted on Himalayas