Sr. ML Engineer (MLOps)
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. Lyra is for you if you: 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.
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 the AI/ML SDLC process
- And of course, you will be coding 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 with up to 3% matching
- Monthly tech allowance
- Well-being perks and activities, surprise swag, regular community celebration
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
