EvolutionIQ
Senior Applied Machine Learning Engineer
Vaga remota de Machine Learning Engineering com fit claro de localização do candidato.
Publicada1 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Estados Unidos
Resumo da vaga
Senior Applied Machine Learning Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Outcomes
- Work with PM to map business requirements to a machine learning solution
• Ingest and clean raw client data
- Integrate into Evolution’s machine learning platform
- Build, tune, evaluate models (create custom evaluation strategies)
- Reproduce ML prototype in a live production environment
Role Competencies
- Works well with PM to map business requirements to ML architectures on a novel problem
- Acted as owner of applied ML project from conception to shipping (1 or more)
- Acted as part of an ML team that shipped a product
- Expert developer who uses writes clean, efficient, easy to understand code with unit tests, functional design patterns
- Expert in Python 3 and Pandas or equivalent data manipulation library
- Expert data architect eager to solve complex, multi dimensional big data problems with advanced strategic leverage of databases, data assets and DAG pipeline
• Excellent document writing skills
- Extreme creativity and resourcefulness, appetite to solve previously unsolved problems
Other
- Extreme self-starter and self-motivator
- Holds self to extremely high standards, and inspires others to do the same
- Open to giving and receiving critical feedback
- Believes in the mission of the company, cares about fundamental fairness
- Able to handle the ups and downs of early startup life
• Enthusiasm for team work and pair work
- Kind, empathetic, polite and professional
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