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Pytorch Huggingface Jobs (NOW HIRING)

Roku

Senior Machine Learning Engineer

San Jose, CA · On-site

$229K - $360K/yr

Ray, PyTorch, HuggingFace, AWS Sagemaker * AI literacy and curiosity. You have either tried Gen AI in your previous work or outside of work, or are curious about Gen AI and have explored it. * MS in ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

Build and deploy LLM inference services using HuggingFace Transformers and PyTorch * Optimize GPU workloads and CUDA memory usage * Implement streaming inference APIs for real-time model responses

Sola

Software Engineer, ML Platform

New York, NY · On-site

$150K - $350K/yr

PyTorch, HuggingFace, DSPy) * You're open to working 5 days a week out of our office in NYC (we'll cover relocation!) You might excel if * You have hands-on experience operating at an early stage ...

GenBio AI

Deep Learning Engineer (Palo Alto)

Palo Alto, CA · On-site

$170K - $260K/yr

Proficiency with major deep learning frameworks such as PyTorch, HuggingFace Transformers & Accelerator, or Megatron‑LM/DeepSpeed * Familiarity with resource management and scheduling systems (e.g ...

Zifo

Sr. Data Engineer

Raleigh, NC

$111K - $133K/yr

Experience with AI/ML & data science libraries like Scikit-Learn, TensorFlow, PyTorch, HuggingFace, etc. for preparing data for downstream AI/ML applications, * Familiarity with data visualization ...

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience with AI/ML & data science libraries like Scikit-Learn, TensorFlow, PyTorch, HuggingFace, etc. for preparing data for downstream AI/ML applications, * Familiarity with data visualization ...

FAR.AI

$100K - $190K/yr

You can contribute to open source codebases such as Pytorch, HuggingFace Transformers and Accelerate. You will receive engineering mentorship via code review, pair programming and regular 1-to-1s.

Zifo

Sr. Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Experience with AI/ML & data science libraries like Scikit-Learn, TensorFlow, PyTorch, HuggingFace, etc. for preparing data for downstream AI/ML applications, * Familiarity with data visualization ...

Pfizer

Translational AI Engineer

Cambridge, MA · Hybrid

... PyTorch, HuggingFace, LangChain, or LlamaIndex. * In-depth database and ETL experience (Postgres or equivalent) - able to stand up the data platform underneath a system, not only call an API.

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Pytorch Huggingface information

What is a PyTorch Huggingface engineer?

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 are the key skills and qualifications needed to thrive as a PyTorch Huggingface engineer?

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 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.

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Pytorch Huggingface jobs near you
Infographic showing various Pytorch Huggingface job openings in the United States as of September 2026, with employment types broken down into 8% Internship, 87% Full Time, 3% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution.

Research Engineer II

Arlington, VA

University of Southern California
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about University of Southern Californiaexternal

$124K - $140K/yr

Full-time

Re-posted 9 days ago

University Of Southern California rating

8.2

Company rating: 8.2 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

Job description

Implements technical solutions to novel research problems. Collaborates with more 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. Proposes approaches to problems and methods for implementing solutions using state-of-the-art tools. Divides project-level goals into smaller tasks to be addressed by researchers. 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. Maintains substantial knowledge of state-of-the-art principles and theories, and may contribute to scientific literature and conferences.

The annual base salary range for this position is $124,000 - $140,000. When extending an offer of employment, the University of Southern California considers factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, federal, state and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations.

Minimum Education: Master's degree
Addtional Education Requirements Combined experience/education as substitute for minimum education
Minimum Experience: 5 years
Minimum Skills: 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 and 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. Position requires U.S. citizen with active Top Secret (TS) clearance and SCI eligibility. Preferred Education: Master's degree
Preferred Experience: 7 years
Preferred Skills: Proven leadership ability. Experience in a university environment. 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 employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other characteristic protected by law or USC policy. USC observes affirmative action obligations consistent with state and federal law. USC will consider for employment all qualified applicants with criminal records in a manner consistent with applicable laws and regulations, including the Los Angeles County Fair Chance Ordinance for employers and the Fair Chance Initiative for Hiring Ordinance, and with due consideration for patient and student safety. Please refer to theBackground Screening Policy Appendix Dfor specific employment screen implications for the position for which you are applying.

We provide reasonable accommodations to applicants and employees with disabilities. Applicants with questions about access or requiring a reasonable accommodation for any part of the application or hiring process should contact USC Human Resources by phone at (213) 821-8100, or by email atuschr@usc.edu. Inquiries will be treated as confidential to the extent permitted by law.

  • Notice of Non-discrimination
  • Employment Equity
  • Read USC's Clery Act Annual Security Report
  • USC is a smoke-free environment
  • Digital Accessibility

If you are a current USC employee, please apply to this  USC job posting in Workday by copying and pasting this link into your browser:

https://wd5.myworkday.com/usc/d/inst/1$9925/9925$145911.htmld

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About University of Southern California

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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

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