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Tier-1 brand, mid-level generalist ML role, metro location and broad skillset drive high competition.
Core ML engineering skills (training, pipelines, deployment) are broadly transferable across industries.
Explicit 2-5 years experience plus required ML deployment and pipeline skills create moderate filtering.
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Implement, refine, and validate machine learning algorithms tailored for company products and manage their training and deployment in production environments.
Design and develop data pipelines for data ingestion, validation, cleaning, and monitoring.
Conduct research, author technical documentation, evaluate ML solutions, design proof of concept strategies, and contribute to patent and API innovations.
Bachelor's degree or equivalent combination of coursework and experience.
2-5 years of relevant work experience in machine learning or related fields.
Ability to work nights and weekends with a variable schedule as necessary.
Experience with machine learning algorithm implementation, model training, deployment, and data pipeline design.
Experienced in end-to-end ML lifecycle including deployment and operational data pipelines within production environments.
Capable of independently exercising judgment and discretion in significant technical decisions.
Skilled in technical research, documentation, and innovation contributing to patents and APIs.