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Machine Learning Engineer

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Machine Learning Engineer in USA new

  • Pangram Labs
  • Full time
  • Email
  • Brooklyn, NY

Responsibilities

  • Build robust data pipelines that mine the Internet at scale and generate millions of synthetic text examples for training detection models.
  • Manage distributed infrastructure for multi-GPU LLM training.
  • Profile and optimize training and inference code.
  • Deploy efficient inference pipelines for serving LLMs at scale.
  • Contribute to research efforts, ideas, innovations, and publications.

Requirements

  • Bachelor's or master's degree in Computer Science or a related area.
  • Strong programming skills in Python and modern machine learning frameworks.
  • Excellent understanding of transformers and LLM fundamentals.
  • Comfort working across research and engineering boundaries.
  • Preferred experience with NVIDIA GPU programming and CUDA.
  • Preferred experience with distributed training frameworks such as DeepSpeed, FSDL, and Ray.
  • Preferred experience with inference frameworks such as vLLM.
  • Preferred experience with large-scale data processing using Spark or Beam and orchestration using Airflow.
  • Preferred experience with MLOps and experiment tracking.
  • Preferred experience with DevOps tools and cloud-based infrastructure such as AWS or GCP.

Benefits

  • Fully in-person role in Downtown Brooklyn, New York.
  • Meaningful ownership over the company’s technical and strategic direction.
  • Opportunity to collaborate with researchers and contribute to published research.

Salary: $150k - $400k/yr

Pangram Labs

There are many AI detectors available, but Pangram is different. It actually works. We provide advanced features backed by peer-reviewed research that allow users to understand the origin of a piece of writing.

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