Lyra Health
Senior ML Engineer (ML/AI)
Vaga remota de Engineering com fit claro de localização do candidato.
Publicada4 de jul. de 2026
Países elegíveis39 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
Senior ML Engineer (ML/AI)
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
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
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