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ICLR - Applied ML Engineer

Kognitos

Salary not specified
Apr 15, 2025
San Jose, CA, US
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Kognitos is looking to solve the challenge of efficient fine-tuning, multimodal reasoning, and real-world adaptability in AI-driven automation.

Requirements

  • Proven experience in developing and deploying machine learning models in production environments.
  • Expertise in fine-tuning techniques for large-scale models and optimizing resource usage.
  • Strong intuition working with LLMs
  • Familiarity with multimodal language models and their enterprise applications.
  • Proficiency in Python, TensorFlow, PyTorch, or similar frameworks.
  • Experience with agentic workflows and multi-agent systems.
  • Familiarity with cloud platforms and distributed computing frameworks.

Responsibilities

  • Design, implement, and deploy machine learning models focused on agentic workflows and deterministic task execution.
  • Optimize AI systems for multimodal applications, addressing real-world enterprise challenges.
  • Innovate on fine-tuning techniques to maximize resource efficiency and improve model performance.
  • Ensure AI systems are aligned to regulatory policies and deliver consistent business value.
  • Stay at the cutting edge of AI research, incorporating new advancements into Kognitos’ platform.

Other

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Machine Learning, or a related field.
  • Excellent problem-solving skills and the ability to work in a fast-paced, dynamic environment.