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Senior Machine Learning Engineer
Rol remoto de Machine Learning Engineering con fit claro de ubicación del candidato.
Publicado3 jul 2026
Países elegibles9 países aceptados
Señal de senioritySenior
Modelo de trabajoRemoto
Ubicaciones aceptadas para candidatos
Resumen del rol
Senior Machine Learning Engineer
Requisitos y responsabilidades
Contenido del rol extraído en secciones para revisar más rápido.
Key Responsibilities
- Develop and refine features for deep learning models, working with large-scale customer and behavioral datasets
- Implement model architecture changes informed by recent academic research (e.g., papers from NeurIPS and similar venues)
- Collaborate with client teams to understand business context and translate requirements into technical solutions
- Optimize model training pipelines for efficiency and scalability
- Document approaches, findings, and technical decisions for knowledge sharing across teams
- Participate in code reviews and contribute to engineering best practices
Required Skills & Experience
- Strong proficiency with a deep learning framework (e.g. Pytorch, tensorflow)
- Hands-on experience with feature engineering for predictive models
- Solid foundation in machine learning fundamentals (supervised learning, neural network architectures, optimization)
- Ability to read, understand, and implement techniques from ML research papers
- Python proficiency in a data science/ML context
- Comfortable working in ambiguous environments and adapting to unfamiliar tooling
Nice to haves
- Experience with time-series or sequential modeling
- MLOps experience (model deployment, monitoring, pipeline orchestration)
- Familiarity with Google Cloud Platform or large-scale distributed training
- Background in causal inference or attribution modeling
- Experience working in consulting or client-facing technical role
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