Sr. Machine Learning Engineer (ML/AI)

Lyra Health

68d • $159,000 - $219,000

About The Position

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. 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. This role can be carried out from our Burlingame, CA headquarters, hybrid, or fully remote/virtually. Remote candidates must be physically located within the United States.

Requirements

• 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

Nice To Haves

• 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

Responsibilities

• 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 AI/ML SDLC process
• Code every day

Benefits

• 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 retirement benefits
• Monthly tech allowance
• Well-being perks and activities, surprise swag, free food, regular community celebration

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 1,001-5,000 employees