Real job — pulled straight from Lyra Health’s careers page · Verified June 13, 2026 · No reposts.
Job description
Lyra Health is hiring a Senior Machine Learning Engineer — a full-time, remote role. Apply directly on Lyra Health's careers page below.
Senior ML Engineer (ML/AI)
Team: Engineering
Location: United States
Commitment: Full-time
Workplace Type: remote
Salary:
Annual salary is only one part of an employee’s total compensation package at Lyra. We also offer generous benefits that include:
*Comprehensive healthcare coverage (including medical, dental, vision, FSA/HSA, life and disability insurances)
*Lyra for Lyrians; coaching and therapy services
*Equity in the company through discretionary restricted stock units
*Competitive time off with pay policies including vacation, sick days, and company holidays
*Paid parental leave
*401K with up to 3% matching
*Monthly tech allowance
*We like to spread joy throughout the year with well-being perks and activities, surprise swag, regular community celebration…and more!
We can’t wait to meet you.
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
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Design, train, fine-tune, and evaluate deep learning, classical ML, and foundational GenAI models (LLMs, diffusion models) to drive core product features.
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Build, scale, and maintain robust ML pipelines for continuous training, evaluation, and real-time/batch inference using modern MLOps frameworks.
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Collaborate with backend and frontend teams to integrate AI models into microservices, ensuring low latency, high availability, and optimal resource utilization.
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Architect scalable data pipelines for preprocessing, vectorizing, and ingestion of massive structured and unstructured datasets.
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Implement rigorous evaluation frameworks for model alignment, bias mitigation, guardrailing, and cost/latency optimization (e.g., quantization, distillation).
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Provide technical leadership, conduct thorough code reviews, and mentor junior/mid-level engineers on best practices in software craftsmanship and ML engineering.
Qualifications
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6+ years of experience deploying ML/AI solutions in production environments
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Ability to write high-quality code in Python
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Experience building RAG (retrieval-augmented generation) based solutions
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Experience setting up and maintaining vector databases
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A strong desire to work on ML/AI based products
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A desire to learn new technologies quickly
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A thoughtful approach to balancing quality and deadlines in fast-paced settings
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Excellent communication skills with a talent for building consensus and alignment
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Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward
Preferred Qualifications
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Experience defining and using Protobuf messages
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Experience working with Docker and deploying applications to Kubernetes
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Experience with relational and low-latency databases
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Experience working with Celery
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Experience building RAG (retrieval-augmented generation) based solutions
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Experience setting up and maintaining vector databases
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Experience writing production code in Java/Kotlin
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Experience building solutions on cloud infrastructure, particularly AWS
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Experience working with highly sensitive data in a healthcare environment
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Frequently asked questions
Is Senior Machine Learning Engineer at Lyra Health a remote job?
Yes, Senior Machine Learning Engineer at Lyra Health is a remote position. This role is open to remote candidates.
What skills are required for Senior Machine Learning Engineer at Lyra Health?
The required skills for Senior Machine Learning Engineer at Lyra Health include: Python, SQL, Java, Kotlin, Docker, Kubernetes, AWS, Machine Learning, AI, NLP, Deep Learning, RAG.
What is the seniority level for Senior Machine Learning Engineer at Lyra Health?
Senior Machine Learning Engineer at Lyra Health is a Senior level position.
How do I apply for Senior Machine Learning Engineer at Lyra Health?
You can view the full description and apply for Senior Machine Learning Engineer at Lyra Health on EchoJobs: https://echojobs.io/job/lyra-health-senior-ml-engineer-ml-ai-hjezj.