Senior ML Engineer (ML/AI)
Onde esta vaga está disponível
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- United States, Estados Unidos
- Estados Unidos
Resumo da vaga pela JobGrid
Senior ML Engineer (ML/AI) at lyrahealth in United States, United States, United States, on-site, in IT / Data Science & ML, senior level. JobGrid presents normalized role facts from the structured payload, keeps the employer description separate, and routes applicants to the original public application page with non-personal referral parameters. No salary was listed in the payload.
- Normalized classification: Senior level in IT, subcategory Data Science & ML.
- Location is shown as United States, United States, United States, with on-site workplace type.
- Source freshness is captured from the posted time of 2026-06-09 and the last checked time of 2026-06-10.
- The content is generated from structured JobGrid facts only, without adding unverified company or role claims.
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:
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Thrive on working with brilliant teammates to solve complex, meaningful problems
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Are passionate about making a social impact and supporting people at their most challenging moments
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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