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Machine Learning Researcher, Internship

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
  • Washington, DC

Requirements

  • Experience with software-only and/or hardware-aware techniques for model inference optimization on edge devices
  • Background in Computer Vision Deep Learning and Object Detection in particular
  • Experience with TensorRT, ONNX and other optimization frameworks such as TVM and OpenVINO
  • Experience with implementing or fine-tuning innovative deep learning models in the areas of NER and structure text extraction from documents
  • Background in NLP and Deep Learning
  • Experience with few-shot learning techniques
  • Experience tuning vision-language models such as CLIP or GLIP
  • Proficiency with any of the major Deep Learning frameworks
  • BS in Computer Science or related fields. Candidates are expected to be enrolled students in a graduate program (MS or PhD).
  • Excellent communication and collaboration skills

Responsibilities

  • Read, present and implement research papers in the relevant research areas of interest
  • Modify and/or invent techniques in object detection and inference optimization to optimize performance on resource constrained hardware such as ARM, Intel CPUs and NVIDIA Jetson GPUs
  • Fine-tune vision language models on unique overhead aerial imagery datasets
  • Modify and/or invent techniques in entity, event and relationship extraction/classification, and in the area of structured text extraction from documents

Technology
Industry
1001-5000
Employees
2003
Founded Year

Mission & Purpose

At Palantir (NYSE: PLTR), we're helping the world's most important institutions use their data to solve their most urgent problems. Our software lets our customers integrate and analyze all of their data so they can answer questions that they couldn't before. From delivering disaster relief to building safer automobiles, we're honored to help make our partners better at their most important work. Together with our customers, we're building the future of national security, healthcare, energy, finance, manufacturing, and more. And we need bright minds from around the world to help us.

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