Staff ML Engineer – ML/AI

Posted Aug 9

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement the long-term strategy for Lyra’s machine learning and generative AI platform.

• Facilitate the rapid, secure, and dependable deployment of cutting-edge models throughout the organization.

• Design comprehensive training, fine-tuning, and low-latency inference systems.

• Create centralized RAG architecture, vector databases, and enterprise evaluation/guardrail systems.

• Set organizational benchmarks for the entire AI/ML SDLC, covering dataset lineage, CI/CD pipelines, automated model assessments, red-teaming, and production oversight.

• Collaborate with Product Management, Data Science, Security, and Clinical leaders to convert strategic clinical objectives into AI capability roadmaps.

• Guide Senior ML Engineers and lead architectural evaluations.

• Promote engineering best practices across various teams.

• Oversee technical prototypes, critical-path architecture, and strategic coding efforts.

• Produce high-quality production code.


⛳️ Requirements

• Over 8 years of experience implementing complex ML/AI solutions in mission-critical production settings, demonstrating a strong record of technical leadership.

• Proficient in Python, RESTful API design, Protobuf, and microservices architecture.

• Extensive knowledge of Docker, Kubernetes, container orchestration, and real-time inference services.

• Practical experience in designing and deploying RAG pipelines, fine-tuning LLMs, managing vector databases, and constructing LLM evaluation/guardrail frameworks.

• Expertise in relational databases, low-latency key-value stores, distributed queuing system architectures such as Celery and Kafka, and data pipeline orchestration.

• Significant experience in architecting cloud-native solutions on AWS or comparable cloud platforms.

• Outstanding ability to translate unclear technical issues into well-defined strategic goals and to influence leadership across engineering, product, and business sectors.

• Preferred: experience in writing high-performance production code using Java or Kotlin.

• Preferred: experience in architecting AI/ML systems within regulated environments, including HIPAA compliance, SOC2, and management of PHI/PII.

• Preferred: experience in creating internal developer platforms or ML tools utilized by numerous data scientists and engineers.


🏝️ Benefits

• Comprehensive healthcare coverage, including medical, dental, vision, FSA/HSA, life, and disability insurances.

• Lyra for Lyrians; access to coaching and therapy services.

• Equity in the company through discretionary restricted stock units.

• Competitive paid time off policies, including vacation, sick days, and company holidays.

• Paid parental leave.

• 401K plan with up to 3% matching.

• Monthly technology allowance.

• Well-being perks and activities.

• Surprise swag.

• Regular community celebrations.

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