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Pytorch Research Jobs (NOW HIRING)

Skild AI

Research Scientist

San Mateo, CA · On-site

Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc ... Deep technical knowledge, and research experience in deep learning, reinforcement learning ...

ManTech International

Research Scientist

Catonsville, MD · On-site

$141K - $236K/yr

The Research Scientist will support advanced research initiatives focused on HPC (High-Performance ... Writing and maintaining code to build and execute tests using C++, TensorFlow, and PyTorch

ManTech

Research Scientist

Catonsville, MD

$141K - $236K/yr

The Research Scientist will support advanced research initiatives focused on HPC (High-Performance ... Writing and maintaining code to build and execute tests using C++, TensorFlow, and PyTorch

EnCharge AI

$175K - $245K/yr

Research and develop quantization-aware training (QAT) and post-training quantization (PTQ ... Work with frameworks such as PyTorch, ONNX Runtime, and TVM to deploy optimized models. * Analyze ...

FAR.AI

$100K - $190K/yr

AI is a non-profit AI research institute working to ensure advanced AI is safe and beneficial for ... You can contribute to open source codebases such as Pytorch, HuggingFace Transformers and ...

AppLovin

Foundational Research Scientist

Palo Alto, CA · On-site

... frameworks (PyTorch). • Experience with large-scale data and experimentation. Preferred : • Publications in top venues (NeurIPS, ICML, ICLR, KDD, RecSys, SIGIR, WWW). • Experience with ...

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Pytorch Research information

What are the key skills and qualifications needed to thrive as a PyTorch Researcher, and why are they important?

To thrive as a PyTorch Researcher, you need a deep understanding of machine learning, statistics, and programming (especially Python), often supported by a degree in computer science or a related field. Proficiency in PyTorch, as well as experience with deep learning frameworks, GPU computing, and version control systems like Git, is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are valuable soft skills that distinguish top researchers. These skills are crucial for developing innovative models, efficiently collaborating with teams, and advancing research in rapidly evolving AI environments.

What types of projects or problems do PyTorch Research professionals typically work on within a research team?

PyTorch Research professionals are often involved in designing and developing innovative deep learning models, conducting experiments, and exploring novel algorithms using the PyTorch framework. Their daily work may include tasks such as implementing new neural network architectures, optimizing existing models, and collaborating with data scientists, engineers, or academic researchers to publish findings or build prototypes. The role frequently requires staying updated with the latest advancements in machine learning and contributing to open-source projects or academic publications, making it both challenging and rewarding for those passionate about research and experimentation.

What is PyTorch research?

PyTorch research involves using the PyTorch deep learning framework to develop, test, and analyze new machine learning models and algorithms. Researchers in this field typically experiment with neural networks, natural language processing, computer vision, and other AI applications using PyTorch's flexible and user-friendly tools. The aim is to advance the state-of-the-art in AI by publishing papers, releasing code, or contributing to open-source projects. PyTorch research is highly collaborative and often involves working at universities, tech companies, or research labs.

Research Scientist

Skild AI

San Mateo, CA • On-site

Other

Posted 9 days ago

Job description

Position Overview

We are looking for Research Scientists to lead the effort in developing the next generation of techniques to advance the capabilities of our robotic systems. We are looking for people with proven expertise in machine learning and/or robotics, who are passionate about pushing the boundaries of what is possible. You will collaborate with a team of talented researchers and engineers, and enhance our cohesive research strategy, driving ongoing innovation and technological advancements within the company. The ideal candidate will have a track record of discovering fundamental, scalable solutions, and a passion for seeing their research transform into impactful applications.

Responsibilities
  • Develop new algorithms and methods for training general-purpose robot foundation models.
  • Conduct cutting edge research across multiple disciplines (Perception, Robotics, RL / IL, Machine Learning, etc.).
  • Work with large scale systems and large-scale model training.
Preferred Qualifications
  • PhD degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Multiple years of experience in conducting research.
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Publications at top-tier ML, robotics, or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).
  • Deep technical knowledge, and research experience in deep learning, reinforcement learning, robotics, or computer vision.
  • Deep understanding of state-of-the-art machine learning techniques and models.
  • Experience working with robot systems.
  • Experience working with large-scale model training and systems.

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