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How much do entry level huggingface jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for entry level huggingface in the United States is $16.94, according to ZipRecruiter salary data. Most workers in this role earn between $15.62 and $18.03 per hour, depending on experience, location, and employer.

What is an entry level Huggingface position?

An entry level Huggingface position typically refers to a job that involves working with Hugging Face’s open-source machine learning tools and libraries, such as Transformers, for tasks like natural language processing (NLP) or machine learning model deployment. These roles are designed for candidates who are new to the industry or have limited professional experience. Responsibilities might include training and fine-tuning models, assisting in developing applications that use NLP, and collaborating with more experienced engineers. Entry level positions usually require a basic understanding of Python, machine learning fundamentals, and familiarity with Hugging Face’s platforms.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer working with Hugging Face, and why are they important?

To excel in an entry-level role focused on Hugging Face, you need a solid foundation in Python programming, machine learning concepts, and a relevant degree in computer science or a related field. Familiarity with the Hugging Face Transformers library, experience with deep learning frameworks like PyTorch or TensorFlow, and exposure to version control systems such as Git are typically required. Strong problem-solving skills, attention to detail, and effective communication help you understand requirements and collaborate with team members. These skills are crucial for building, fine-tuning, and deploying NLP models that deliver real-world impact.

What types of projects do Entry Level Huggingface engineers typically work on, and how do they collaborate with more experienced team members?

Entry Level Huggingface engineers often contribute to open-source libraries, assist in implementing machine learning models, and help with code maintenance and documentation. They usually work closely with senior engineers and researchers, participating in code reviews and collaborative problem-solving sessions. Regular communication and mentorship are common, fostering rapid skill development and a supportive work environment. This structure allows entry-level team members to learn best practices, gain hands-on experience with state-of-the-art NLP tools, and gradually take on more complex tasks.
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Entry Level Huggingface jobs near you
Infographic showing various Entry Level Huggingface job openings in the United States as of June 2026, with employment types broken down into 3% As Needed, 94% Full Time, 1% Temporary, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $35,227 per year, or $16.9 per hour.
Machine Learning Engineer/Data Scientist/Analyst - Junior Level

Machine Learning Engineer/Data Scientist/Analyst - Junior Level

SynergisticIT

Remote

Other

Posted 3 days ago

Job description

Job Title

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists.

Job Description

As a member of the growing Data Science and Machine Learning (Client) Engineering team in Bain's Advanced Analytics Group, you will:

  1. Provide technical expertise for end-to-end technical solution delivery on client cases (from solution architecture to hands-on development work)
  2. Develop statistical/Client models to be handed over to clients as prototype or production software
  3. Transform existing prototype code into scalable, production-grade software
  4. Write, test, deploy and maintain machine learning code across the full software development lifecycle
  5. Collaborate on (or lead) the development of re-usable common frameworks, model and components that can be highly leveraged to address common Client engineering problems across industries and business functions
  6. Drive best demonstrated practices in software engineering, and share learnings with team members in SynergisticIT about theoretical and technical developments in Client engineering
Qualifications
  • 0-3 years of engineering experience
  • Proficient knowledge of Python and SQL
  • Proficiency in one or more of R, Java, C++, Scala, Django
  • Fair understanding of fundamental computer science concepts, particularly data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
  • Basic understanding of foundational concepts and algorithms in statistics and machine learning, including NLP, linear/logistic regression, SVM, random forest, boosting, neural networks, dimensionality reduction, reinforcement learning, etc.
  • Basic Knowledge of machine learning frameworks and tools (e.g. Pandas, numpy, scikit-learn, TensorFlow, Pytorch, Keras, Huggingface)
  • Basic Knowledge of probabilistic programming techniques and associated tools (e.g. Pyro, Stan, Tensorflow Probability, PyMC3), Bayesian inference and MCMC methods

We also offer optionally Skill and technology enhancement programs for candidates who are either missing skills or are lacking Industry/Client experience with Projects and skills. Candidates having difficulty in finding jobs or cracking interviews or who wants to improve their skill portfolio. If they are qualified with enough skills and have hands on project work at clients then you should be good to be submitted to clients. Shortlisting and selection is totally based on clients discretion not ours.

No phone calls please. Shortlisted candidates would be reached out. Please apply to the posting or share your updated resume at manav@synergisticit.com

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