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Pytorch Huggingface Jobs in Perris, CA (NOW HIRING)

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.

What are popular job titles related to Pytorch Huggingface jobs in Perris, CA?

For Pytorch Huggingface jobs in Perris, CA, the most frequently searched job titles are:

What job categories do people searching Pytorch Huggingface jobs in Perris, CA look for?

The top searched job categories for Pytorch Huggingface jobs in Perris, CA are:

What cities near Perris, CA are hiring for Pytorch Huggingface jobs?

Cities near Perris, CA with the most Pytorch Huggingface job openings:

Software Engineer - AI Engineer II/III

Applied Medical

Rancho Santa Margarita, CA • On-site

$80 - $140/hr

Other

Medical, Life, Retirement, PTO

Re-posted 18 days ago


Applied Medical rating

8.0

Company rating: 8.0 out of 10

Based on 23 frontline employees who took The Breakroom Quiz


Job description

Applied Medical is a new generation medical device company with a proven business model and commitment to innovation fueled by rapid business growth and expansion. Our company has been developing and manufacturing advanced surgical technologies for over 35 years and has earned a strong reputation for excellence in the healthcare field. Our unique business model, combined with our dedication to delivering the highest quality products, enables team members to contribute in a larger capacity than is possible in typical positions.

Position Description

We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs), AI agent frameworks, and Model Context Protocols (MCP). The ideal candidate will design, develop, and deploy advanced AI‑powered applications that leverage LLMs for reasoning, planning, and autonomous decision‑making. In this role, you will build agentic systems capable of performing multi‑step tasks, interacting with external systems, integrating with APIs and tools, and orchestrating complex workflows end‑to‑end. You will also implement and optimize MCP‑based architectures to ensure reliable tool usage, persistent context management, and robust coordination between agents and backend services.

Collaboration is a fundamental part of our organization’s culture and is essential to our continued success. As such, the successful candidate for this position is expected to work on‑site so they can engage fully with colleagues and contribute to cross‑functional initiatives. Therefore, the ability to work collaboratively and contribute to a positive and supportive team environment is a key requirement for this role.

Key Responsibilities
  • LLM Application Development: Design, fine‑tune, and deploy LLM‑based applications for reasoning, planning, retrieval, and automation.
  • Agent Systems: Build autonomous AI agents that interact with APIs, databases, and tools using frameworks like LangChain, LangGraph, AutoGen, or custom solutions.
  • Context & Memory Management: Implement Model Context Protocols (MCP) for persistent context, robust coordination between agents, and seamless tool usage.
  • Data & RAG Pipelines: Develop RAG pipelines, vector databases, and prompt‑engineering strategies to enable context‑aware responses.
  • Backend & Infrastructure: Build scalable backend systems and deploy solutions on cloud or on‑prem environments (Azure, AWS), with containerization (Docker, Kubernetes).
  • Research & Innovation: Stay up‑to‑date with emerging LLM and agentic technologies and evaluate them for practical applications.
  • Collaboration & Governance: Work closely with data science, product, and engineering teams while ensuring responsible AI practices, model safety, and compliance with data privacy regulations.
Position Requirements

This position requires the following skills and attributes:

  • Bachelor’s or Master’s in Computer Science, AI/ML, or related field (Ph.D. preferred).
  • 2+ years building and deploying AI applications with LLMs (OpenAI, Anthropic, HuggingFace).
  • Strong Python skills, with experience in Git, FastAPI/Flask, and ML frameworks (PyTorch, TensorFlow).
  • Hands‑on experience with agent frameworks (AutoGen, LangGraph, CrewAI) and orchestration strategies.
  • Proficiency in vector databases (Pinecone, Milvus, ChromaDB, FAISS) and embedding techniques.
  • Solid understanding of prompt engineering, RAG, and LLM optimization.
  • Familiarity with cloud/on‑prem deployment and containerization (Docker, Kubernetes).
  • Experience implementing Model Context Protocols for context management and interoperability.
  • Experience with multi‑agent systems, planning algorithms, or reinforcement learning with LLMs.
  • Knowledge of production‑grade AI monitoring, logging, and observability.
  • Excellent problem‑solving skills and ability to thrive in fast‑paced, collaborative environments.
Benefits
  • Competitive compensation range: $80,000 - $140,000 / year (California).
  • Comprehensive benefits package.
  • Training and mentorship opportunities.
  • On‑campus wellness activities.
  • Education reimbursement program.
  • 401(k) program with discretionary employer match.
  • Generous vacation accrual and paid holiday schedule.

Please note that the compensation range may be adjusted in the future, and bonus and incentive compensation plans may apply.

Our total reward package reflects our commitment to employee growth and well‑being, as we invest in your development and offer a range of benefits designed to enhance your career and life.

All compensation and benefits are subject to plan documents and written agreements.

Equal Opportunity Employer

Applied Medical is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability (mental and physical), exercising the right to family care and medical leave, gender, gender expression, gender identity, genetic information, marital status, medical condition, military or veteran status, national origin, political affiliation, race, religious creed, sex (including pregnancy, childbirth, breastfeeding and related medical conditions), or sexual orientation, or any other status protected by federal, state or local laws in the locations where Applied Medical operates.

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