Machine Learning Engineer L1
lauretta aiAustin (TX)
About the role
Job Description:
Develop high-quality, maintainable code to build and deploy computer vision modules and machine learning models as part of an AI pipelineWorks with data and software engineering team to integrate models into pipelineSupport construction and iteration of product prototypesSupport data pipeline engineering and automationStay up to date with state of the art developments in computer vision tasksOther duties as required by supervisorsAdditional Requirements: Experience working in MLOps and building pipelines for deploying ML modelsProgramming skills in Python, C/C++ or JavascriptUnderstanding of machine learning and deep learning fundamentalsDevelop internal tooling as needed to support ML effortsProduction deployment and performance monitoring including code refactoring and optimization as neededSupport infrastructure engineering, security engineering, and architectureWilling to learn and work well in a cross functional team environmentFresh graduates are welcome to apply on a full-time basis
Before you apply
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Your profile is current
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Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
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