Senior Machine Learning Engineer
ll oefentherapieSeattle (WA)
About the role
Implements machine learning (ML) models for production with minimal guidance.
Contributes to the readiness of machine learning models for deployment in production.
Contributes to the automation of machine learning workflows.
Participates in the creation of infrastructure and frameworks to monitor the performance of machine learning models in deployment.
Identifies potential data quality, security, and/or privacy issues and their impacts on modeling.
Provides troubleshooting and debugging support.
Contributes to addressing issues in machine learning infrastructure and workflows.
Collaborates with stakeholders to integrate machine learning models into new or extant systems.
Contributes to the development and maintenance of tools, platforms, and services for internal use.
Develops low-complexity, efficient, bug-free code from scratch.
Develops familiarity with current developments in the machine learning field and integrates knowledge into model development.
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
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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