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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior ML Engineer (ML/AI) - **Company:** Lyra Health - **Location:** Burlingame, CA, United States (Remote available) - **Experience:** Expert - **Salary:** $143,000.0 - $197,000.0 - **Contract:** Permanent contract - **Skills:** Clean Code Principles, Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Code Review, Databases, Protocol Buffers, Python (Programming Language), Machine Learning, Natural Language Processing, Software Product Management, Software Deployment, Software Engineering, Retrieval-Augmented Generation, System Availability, Large Language Models, Deep Learning, Generative AI, Backend, Kotlin, Kubernetes, Low Latency, Production Code, Machine Learning Operations, Celery, Front End Software Development, Data Pipelines, Docker, Microservices - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pechw4w1je ## About the Role * 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, * 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 ## Description 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., 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." ## Related Videos - [DevOps for AI: running LLMs in production with Kubernetes and KubeFlow](https://www.wearedevelopers.com/videos/1222-devops-for-ai-running-llms-in-production-with-kubernetes-and-kubeflow) - [Kotlin Multiplatform - True power of native code reuse](https://www.wearedevelopers.com/videos/4-kotlin-multiplatform-true-power-of-native-code-reuse) - [Celery on AWS ECS - the art of background tasks & continuous deployment](https://www.wearedevelopers.com/videos/561-celery-on-aws-ecs-the-art-of-background-tasks-continuous-deployment) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Why Kotlin is the better Java and how you can start using it](https://www.wearedevelopers.com/videos/661-why-kotlin-is-the-better-java-and-how-you-can-start-using-it) - [Walking into the era of Supply Chain Risks](https://www.wearedevelopers.com/videos/376-walking-into-the-era-of-supply-chain-risks) ## Related Articles - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering)