Sr. ML Engineer (MLOps)
At a glance
Senior ML Platform & Ops role at Lyra Health. Remote, United States · full-time · $143,000–$197,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build the tooling and services that run machine learning and generative AI products in production
- Create services for model training and inference, plus metrics and tests for evaluating models
- Develop APIs that make machine learning and AI products available to other systems
- Deploy and operate applications used across the AI and ML development lifecycle, while coding day to day
- Lead cross-functional projects and guide teammates as you take ownership of your work
What you bring
- At least six years deploying machine learning or AI solutions in production environments
- Strong Python skills, with experience building REST APIs and defining and using Protobuf messages
- Experience with Docker, Kubernetes deployments, relational and low-latency databases, and Celery
Who this fits
This senior role suits an experienced ML engineer who wants to build production systems and collaborate with physicians, therapists, data scientists, analysts, and product managers. You should be comfortable coding every day, taking ownership, and helping teammates through mentorship. The role is remote in the United States.
From the employer
About the Role:
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:
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Thrive on working with brilliant teammates to solve complex, meaningful problems
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Are passionate about making a social impact and supporting people at their most challenging moments
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Enjoy cross-functional collaboration with physicians, therapists, data scientists, data analysts and product managers
Responsibilities
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Build tooling and services that power the machine learning and generative AI powered solutions in production
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Training and inference platform services
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The model evaluation metrics and testing framework
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Build services that expose machine learning and AI based products
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Deploy and manage various applications that power various components of the the AI/ML SDLC process
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And of course, you will be coding every day!
Qualifications
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6+ years of experience deploying ML/AI solutions in production environments
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Ability to write high-quality code in Python
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Experience building RESTful APIs
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Experience defining and using Protobuf messages
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Experience working with Docker and deploying applications to Kubernetes
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Experience with relational and low-latency databases
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Experience working with Celery
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A strong desire to work on ML/AI based products
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A desire to learn new technologies quickly
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A love of building systems from scratch
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A thoughtful approach to balancing quality and deadlines in fast-paced settings
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Excellent communication skills with a talent for building consensus and alignment
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Strong organizational skills and the ability to distill complex problems into clear priorities that move the team and business forward
Preferred Qualifications
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Experience building RAG (retrieval-augmented generation) based solutions
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Experience setting up and maintaining vector databases
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Experience writing production code in Java/Kotlin
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Experience building solutions on cloud infrastructure, particularly AWS
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Experience working with highly sensitive data in a healthcare environment