Senior Machine Learning Engineer

Who you are

• The ideal candidate will be enthusiastic about taking ownership of their work, spearheading cross-functional projects, and providing guidance and mentorship to other team members
• 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
• 6+ years of experience deploying ML/AI solutions in production environments
• Ability to write high-quality code in Python
• Experience building RESTful APIs
• 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
• A strong desire to work on ML/AI based products
• A desire to learn new technologies quickly
• A love of building systems from scratch
• 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 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

What the job involves

• We are looking for an experienced Senior ML Engineer who is eager to build the tooling and services necessary to deliver ML and generative AI based products that make a significant impact within the organization
• Build tooling and services that power the machine learning and generative AI powered solutions in production
• Training and inference platform services
• The model evaluation metrics and testing framework
• Build services that expose machine learning and AI based products
• Deploy and manage various applications that power various components of the the AI/ML SDLC process
• And of course, you will be coding every day!

Benefits

• Full access to Lyra’s mental health services for employees and their eligible dependents—at no charge
• Medical, dental, and vision benefits, and free monthly membership to One Medical
• 401k and equity options
• Four weeks of vacation and paid holidays
• Monthly tech stipend