Lyra Health - Senior ML Engineer (ML/AI)
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Requirements
• 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 writing production code in Java/Kotlin • Experience building solutions on cloud infrastructure, particularly AWS • Experience working with highly sensitive data in a healthcare environment • $143,000 - $197,000 a year • As a full-time Senior ML Engineer (ML/AI), you will be employed by Lyra Health, Inc. The anticipated annual base salary range for this full-time position is $143,000 to 197,000. The base range is determined by role and level, and placement within the range will depend on a number of job-related factors, including but not limited to your skills, qualifications, experience and location. This role may also be eligible for discretionary bonuses. • 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.
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.
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