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Pytorch Huggingface Jobs in Virginia (NOW HIRING)

Research Engineer I

Arlington, VA · On-site

$90K - $105K/yr

Supports research efforts by implementing technical solutions to novel research problems. Works closely with senior research staff to transform research ideas into implemented solutions. Contributes ...

Research Engineer II

Arlington, VA · On-site

$124K - $140K/yr

Experience with artificial intelligence, very large-scale integration design, machine learning, deep learning (e.g., TensorFlow, PyTorch, HuggingFace), and Dockerization. USC is an equal opportunity ...

... as PyTorch, Tensorflow, or Keras • Demonstrated professional or academic experience with the HuggingFace Transformers library and hub • Demonstrated experience creating machine learning models ...

Demonstrated professional or academic experience with deep learning frameworks such as PyTorch, Tensorflow, or Keras * Demonstrated professional or academic experience with the HuggingFace ...

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Pytorch Huggingface information

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

To thrive as a PyTorch Hugging Face Engineer, you need a strong background in deep learning, Python programming, and experience with machine learning frameworks, supported by a relevant degree such as computer science or engineering. Familiarity with PyTorch, Hugging Face Transformers library, version control systems like Git, and often cloud platforms (e.g., AWS, GCP) is essential, with certifications in machine learning or cloud technologies being advantageous. Strong problem-solving skills, collaboration, and clear communication help you effectively design, implement, and optimize NLP models in cross-functional teams. These skills ensure you can build state-of-the-art AI solutions efficiently, troubleshoot complex challenges, and deliver impactful results in the fast-evolving field of natural language processing.

How do PyTorch Huggingface engineers typically collaborate with data scientists and researchers in a project setting?

PyTorch Huggingface engineers often work closely with data scientists and researchers to implement, fine-tune, and deploy state-of-the-art machine learning models. Collaboration involves regular discussions to understand project objectives, translating research ideas into efficient code, and iterating on model performance. Engineers are responsible for optimizing model pipelines, integrating new features, and ensuring compatibility with the Huggingface ecosystem. Effective communication and teamwork are essential, as projects usually require frequent feedback loops and joint problem-solving sessions.

What are Pytorch Huggingface developers?

PyTorch Hugging Face developers are professionals who specialize in building and deploying machine learning and natural language processing (NLP) models using PyTorch, an open-source deep learning framework, and the Hugging Face library, which provides a wide range of pre-trained models and tools for NLP tasks. These developers create, fine-tune, and implement models for tasks like text classification, question answering, and language generation. Their expertise includes working with model architectures such as BERT, GPT, and others, as well as integrating models into applications or research projects.

What is the difference between Pytorch Huggingface vs Machine Learning Engineer?

AspectPytorch HuggingfaceMachine Learning Engineer
CredentialsProficiency in Python, deep learning frameworks, familiarity with NLP librariesDegree in CS, data science, or related field; experience with ML models
Work EnvironmentResearch labs, AI startups, tech companies focusing on NLP and deep learningTech companies, consulting firms, R&D departments across industries
UsageDeveloping NLP models, fine-tuning transformers, deploying AI solutionsDesigning, building, and deploying ML models across various domains

While Pytorch Huggingface specializes in NLP model development using transformer architectures, Machine Learning Engineers work across diverse ML applications. Pytorch Huggingface skills are often part of a Machine Learning Engineer's toolkit, but the roles differ in scope and focus.

What are popular job titles related to Pytorch Huggingface jobs in Virginia? For Pytorch Huggingface jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Pytorch Huggingface jobs in Virginia look for? The top searched job categories for Pytorch Huggingface jobs in Virginia are:
What cities in Virginia are hiring for Pytorch Huggingface jobs? Cities in Virginia with the most Pytorch Huggingface job openings:
Research Engineer I

Full-time

This job post has expired today. Applications are no longer accepted.


University Of Southern California rating

8.3

Company rating: 8.3 out of 10

Based on 50 frontline employees who took The Breakroom Quiz

92nd of 528 rated colleges and universities


Job description

Job Summary:
The University of Southern California is seeking a Research Engineer I to support research efforts by implementing technical solutions to novel research problems. This role involves working closely with senior research staff to transform research ideas into implemented solutions and contributing to documentation and publications as needed.
Responsibilities:
• Supports research efforts by implementing technical solutions to novel research problems.
• Works closely with senior research staff to transform research ideas into implemented solutions.
• Contributes to larger team efforts in implementing research prototypes.
• Contributes to documentation and publications as needed.
• Independently develops parts of a larger system.
• Initiates the design, development and implementation of technology research projects.
• Investigates the feasibility of applying scientific principles and concepts to potential inventions and products.
• Plans and executes applied research.
Qualifications:
Required:
• Master's degree
• <1 year of experience
• Knowledge of one or more relevant programming languages (e.g., Python, C++, Goolang)
• Experience with Linux
• Experience with Virtual LAN and/or Virtual Extensible LAN
• Experience with Melanox Switches
• Experience with SDN programming
• Experience with Ansible, Bash and Nagios
• Experience with Prometheus
• Familiarity with Simple Network Management Protocol
• Experience with applicable IT protocols (e.g., Border Gateway Protocol, Secure Shell, Transport Layer Security)
• Experience with iptables and Network File System
• U.S. citizen with active Top Secret (TS) clearance and SCI eligibility
Preferred:
• 3 years of experience
• Experience in research
• Experience with artificial intelligence, very large-scale integration design, machine learning, deep learning (e.g., TensorFlow, PyTorch, HuggingFace), and Dockerization
Company:
University of Southern California is a private research university offering opportunities for interdisciplinary study and collaboration. Founded in 1880, the company is headquartered in Los Angeles, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Hours and flexibility

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About University of Southern California

Sourced by ZipRecruiter

The University of Southern California (USC) is not a conventional company, but a private research university established in the heart of Los Angeles, CA, US. Founded in 1880, it's one of the oldest private research universities in California. USC operates in the education industry providing primary services of higher education, research, and community development. This prestigious institution offers a comprehensive array of undergraduate, graduate, and professional programs across various disciplines, including the humanities, social sciences, and STEM (Science, Technology, Engineering, and Mathematics). The University is guided by its commitment to foster creativity, innovation, leadership, and discovery through academic excellence.

Industry

Colleges, universities, and professional schools

Company size

10,000+ Employees

Headquarters location

Los Angeles , CA, US

Year founded

1880