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Machine Learning Engineer PhD
Machine Learning Engineer PhDMADIFF • Los Angeles, CA, United States
Machine Learning Engineer PhD

Machine Learning Engineer PhD

MADIFF • Los Angeles, CA, United States
Hace 3 días
Tipo de contrato
  • Indefinido
Descripción del trabajo

Machine Learning Engineer

This is a remote position.

Madiff delivers high-impact AI solutions to Fortune 500 clients and fast-growing start-ups. We need a PhD-level Machine Learning Engineer who can move fast from research to production across multiple tech stacks.

Key responsibilities :

  • Research and design advanced machine learning models that solve real customer problems
  • Prototype, test and optimise models in Python using TensorFlow, PyTorch and scikit-learn
  • Deploy and monitor solutions on AWS, Azure or GCP with CI / CD and IaC tools
  • Work with data engineers to build robust data pipelines and feature stores
  • Translate complex findings into clear business recommendations for stakeholders
  • Coach client teams and Madiff consultants on best ML practices
  • Contribute to technical pre-sales and proposal work when required

Requirements :

  • PhD in Machine Learning, Computer Science, Mathematics or similar
  • At least three years of post-doctoral experience delivering ML projects in industry
  • Fluency in Python plus solid knowledge of Java, Scala or C++
  • Hands-on expertise with deep learning, classical ML and generative models
  • Strong grasp of MLOps, containerisation, microservices and cloud-native architectures
  • Excellent communication in English, written and spoken
  • Desirable :

  • Publications or patents in applied AI
  • Experience with time-series forecasting, reinforcement learning or NLP at scale
  • Familiarity with data privacy frameworks in the EU and USA
  • Benefits :

  • Direct impact on flagship client projects in finance, retail and healthtech
  • High-end hardware and training budget for continuous learning
  • Flexible location and working hours
  • Competitive daily rate or permanent package scaled to expertise
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