Senior AI Research Engineer

New

Skills

Attention Mechanisms Code Quality Deep Learning (DL) Machine Learning (ML) Multimodal Models PyTorch Research Methodologies TensorFlow Transformer Architectures Version Control

As a Senior AI Research Engineer, you will be at the forefront of developing innovative machine learning and deep learning algorithms that push the boundaries of artificial intelligence. Your role will involve the entire lifecycle of AI model development, from data gathering to deployment, while collaborating closely with fellow researchers to validate and prototype cutting-edge AI solutions.

Key Responsibilities
  • Design, implement, and evaluate novel ML/DL algorithms.
  • Iterate on AI model development from data to deployment.
  • Collaborate with researchers to prototype and validate AI solutions.
  • Conduct experiments to benchmark techniques and evaluate model behavior.
  • Develop tools to support scalable, reproducible research.
  • Communicate findings to leadership concisely.
Required Skills & Qualifications
  • M.S. or PhD in Computer Science or Computer Engineering with a strong focus on AI/ML.
  • Enjoy solving less-defined, complex problems.
  • Familiar with software practices: version control, code quality.
  • Proficient in ML frameworks: PyTorch or TensorFlow.
  • Understanding of Transformer architectures, attention mechanisms, and multimodal models.
  • Experience debugging AI models across data, training, and evaluation phases.
  • Stay up-to-date with the latest ML research and techniques.

No forms. Your profile is generated instantly.

Job Type: Remote

Salary: Not Disclosed

Experience: Entry

Duration: Months

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