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Pytorch Research Jobs (NOW HIRING)

Apply label-efficient methods (active, semi-supervised, weak supervision) and efficient training at scale (distributed training with Ray or PyTorch). Research evaluation. Lead evaluation of emerging ...

Strong implementation skills in PyTorch and modern ML tooling * Track record of translating research into deployed systems Preferred Qualifications * Postdoctoral or industry research lab experience

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a ... Create advanced machine learning algorithms using frameworks like JAX, PyTorch, and TensorFlow ...

Research Engineer

San Francisco, CA · On-site

$120K - $200K/yr

We are actively seeking a Research Engineer specializing in Machine Learning and AI to play a ... Create advanced machine learning algorithms using frameworks like JAX, PyTorch, and TensorFlow ...

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 and/or imitation ...

We're looking for an AI Research Scientist to join our team working on bleeding-edge gesture ... Strong programming skills in Python and experience with PyTorch or TensorFlow * Publication record ...

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Pytorch Research information

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.

What types of projects or problems does a PyTorch Researcher 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 are the key skills and qualifications needed to thrive as a PyTorch Researcher?

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 are popular job titles related to Pytorch Research jobs?

For Pytorch Research jobs, the most frequently searched job titles are:

Research Scientist - World Modeling, Data

Sunnyvale, CA • On-site

$150K - $400K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago


Job description

About the Institute of Foundation Models
We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.
As part of our team, you'll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.
Position Summary
We are looking for Research Scientists to tackle the data problems that determine our world model capabilities. You will design, develop, and run state-of-the-art systems for curating, ingesting, filtering, annotating, and training with billion-scale visual data. You will work on problems including, but not limited to, motion scoring, camera control, and video understanding. You will translate our team's human efforts into durable automated systems, whose performance is quantitatively verifiable.
$150,000 - $400,000 a year
Key Responsibilities
  • Translate requirements from downstream training, application and eval teams to actionable data work.

  • Design and build scalable data pipelines.

  • Collaborate with engineering to scale data pipelines on AWS infrastructure and in-house clusters.

  • Develop state-of-the-art visual understanding systems to accurately label and annotate images and videos, such as for detecting AI-generated content.

AcademicQualifications
  • PhD in Machine Learning or Computer Science, or equivalent industry experience.

ProfessionalExperience
Necessary:
  • Strong communication and collaboration skills for effective cross-functional teamwork.
  • Ability to navigate ambiguity and drive projects in rapidly evolving research areas.

  • Exceptional problem-solving and troubleshooting skills to tackle complex technical challenges.

Preferred:
  • Experience in building and optimizing large-scale video data pipelines.
  • Experience with large scale video curation.
  • Experience with data filtering, particularly AI-generated content detection and duplicate detection.
  • Experience with image or video data annotation.
  • Experience with video data curriculum.
  • Strong systems and engineering expertise in deep learning frameworks such as PyTorch.

  • Research contributions to top-tier conferences or journals (e.g., ICML, ICLR, NeurIPS, ACL, CVPR, COLM, etc.), with published work in relevant domains.

Visa Sponsorship
This position is eligible for visa sponsorship.
Benefits Include
*Comprehensive medical, dental, and vision benefits
*Bonus
*401K Plan
*Generous paid time off, sick leave and holidays
*Paid Parental Leave
*Employee Assistance Program
*Life insurance and disability