Sr. ML Engineer (MLOps)
Remote · United States · Full-time · Engineering
$143,000 – $197,000 per year
Posted · Listed from Lever
About the job
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
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