Senior ML Engineer (ML/AI)

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

• 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.

• 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

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

• 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.

• 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

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

• 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.

• 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

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

• 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.

• 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