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Entry Level Nlp Engineer Jobs in California (NOW HIRING)

Arnata

AI Engineer (San Francisco)

San Francisco, CA · On-site

$150K - $250K/yr

Understanding of natural language processing (NLP) and real‑time communication systems is a plus ... Seniority level Entry level Employment type Full‑time Job function Engineering and Information ...

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Entry Level Nlp Engineer information

What is an entry level NLP engineer?

Entry Level NLP Engineers are professionals who specialize in Natural Language Processing (NLP) at the beginning of their careers. They work with human language data to develop, test, and implement algorithms that enable computers to understand and process natural language. Typical responsibilities include cleaning and preprocessing text data, training machine learning models, and assisting in the development of chatbots or language-based AI tools. Entry level positions often require a background in computer science, some experience with programming languages like Python, and familiarity with NLP libraries such as NLTK or spaCy.

What are some common challenges faced by entry level NLP engineers when working on real-world projects?

Entry-level NLP engineers often encounter challenges related to handling messy or unstructured data, such as text with misspellings, slang, or multilingual content. Adapting pre-trained language models to specific business problems can also be complex, requiring careful fine-tuning and evaluation. Additionally, collaborating effectively with data scientists, product managers, and software engineers is essential, as projects are typically multidisciplinary. Gaining familiarity with production-level tools and best practices for deploying NLP models is another important learning curve at this stage.

What are the key skills and qualifications needed to thrive as an entry level NLP engineer, and why are they important?

To thrive as an Entry Level NLP Engineer, you need a solid background in computer science, programming (Python), and foundational knowledge of natural language processing concepts, typically supported by a relevant degree. Familiarity with NLP libraries (such as NLTK, spaCy, or Hugging Face Transformers), machine learning frameworks (like TensorFlow or PyTorch), and version control systems is expected. Strong analytical thinking, problem-solving skills, and the ability to communicate complex ideas clearly are essential soft skills. These competencies enable effective development, deployment, and collaboration on NLP projects in fast-evolving tech environments.
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Entry Level Nlp Engineer jobs near you
Infographic showing various Entry Level Nlp Engineer job openings in California as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

AI Engineer (San Francisco)

Arnata

San Francisco, CA • On-site

$150K - $250K/yr

Full-time

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

Job description

Join to apply for the AI Engineer role at Arnata

Base pay range

$150,000.00/yr - $250,000.00/yr

Why Arnata

At Arnata, we’re building the world’s first AI Logistics Manager — an AI Worker that autonomously runs logistics operations at scale (check the video on our website!). YC-backed, great traction, $1T+ market and great team.

What You'll Do As An AI Engineer
  • Build AI Agents: Design and develop AI systems capable of handling complex, real‑world tasks over multiple channels, including email, phone, and SMS.
  • Advance AI Reasoning: Improve the decision‑making and reasoning capabilities of AI agents to handle complex logistics scenarios effectively.
  • Integrate and Optimize Models: Architect and fine‑tune foundational models, integrating them into scalable solutions that address real‑world logistics challenges.
  • Develop Evaluation Frameworks: Create robust metrics and evaluation frameworks to measure and enhance AI agent performance.
  • Collaborate Across Teams: Work closely with engineers, product managers, and logistics experts to translate domain‑specific challenges into innovative AI solutions.
What We're Looking For
  • Educational Background: At least a B.S. in Computer Science, Machine Learning, AI, or a related field. Exceptional candidates from other backgrounds will be considered.
  • Experience with AI Systems: Proven track record of building and deploying advanced AI systems, particularly for applications requiring reasoning and multi‑step processes.
  • Expertise in Model Optimization: Strong knowledge of fine‑tuning and optimizing AI models for real‑world performance.
  • Problem‑Solving Skills: Ability to integrate various AI models and tools to solve practical, high‑impact problems in logistics.
  • Technical Skills:
    • Familiarity with AI frameworks such as TensorFlow, PyTorch, or similar.
    • Proficiency in Python and experience with cloud‑based AI deployments.
    • Understanding of natural language processing (NLP) and real‑time communication systems is a plus.
You Will Thrive In This Role If You
  • Have a passion for using AI to transform traditional industries like logistics.
  • Enjoy architecting AI systems that solve practical, high‑impact problems.
  • Are curious about improving AI reasoning and decision‑making in complex domains.
  • Value collaboration and are eager to translate logistics challenges into technical innovations.
  • Are excited to measure and achieve meaningful outcomes, ensuring your AI solutions deliver real‑world value.
Why You Should Join Us
  • Innovation Hub: Be at the forefront of real‑world AI and logistics technology innovation.
  • Impact: Your work will directly redefine global freight management.
  • Growth: Join a YC‑backed startup early and grow with us as we scale.
  • Culture: Experience a collaborative, entrepreneurial environment where bold ideas thrive.
  • Mission: Be part of a team making logistics smarter, faster, and more efficient.

Join Now and let’s build the future together!

Seniority level

Entry level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

Software Development

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