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Senior Natural Language Processing Engineer Jobs in California

Forhyre

Prompt Engineers

Los Angeles, CA

As a Prompt Engineer, you will be a key member of our AI development team, responsible for ... Stay up-to-date with the latest advancements in natural language processing and AI technologies.

Noon

Senior Applied AI Engineer

San Francisco, CA · On-site

$300 - $400/hr

About the Role We're hiring an Lead AI Engineer to own and scale our AI infrastructure and product ... Practical experience with Natural Language Processing (NLP) and LLMs * Experience with data ...

Kaizen Stackup

Agent Engineer

San Francisco, CA · On-site

$17.75 - $23.50/hr

Full-time Agent Engineer About Us We're at the forefront of developing cutting-edge AI-powered ... Familiarity with natural language processing techniques and libraries (e.g., NLTK, spaCy)

PROPRIUS

AI Research Engineer

San Francisco, CA

AI Research Engineer Location: San Francisco, CA Sponsorship: No Relocation: No Industry: Data ... to natural language processing. Experience with using modern frameworks such as Tensorflow.

Uniphore

Sr. AI Engineer

Palo Alto, CA · On-site

$123K - $168K/yr

As a Sr. AI Engineer, you will positively impact customers by utilizing machine learning and ... Natural Language Processing (NLP), Vision and Automatic Speech Recognition (ASR) • In-depth ...

LinkedIn

Senior AI Engineer

Sunnyvale, CA · On-site +1

$139K - $229K/yr

LinkedIn's Machine Learning Engineers are both data/research scientists and software engineers, who ... natural language processing Preferred Qualifications * 4+ years of relevant machine learning ...

Brilent

Senior Software Engineer

San Mateo, CA · On-site

$139K - $183K/yr

We are looking for exceptional software engineers to scale our big data infrastructure and build ... Text mining and Natural Language Processing is a plus. * Experience with business applications and ...

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Senior Natural Language Processing Engineer information

What is the difference between Senior Natural Language Processing Engineer vs Data Scientist?

AspectSenior Natural Language Processing EngineerData Scientist
Required CredentialsAdvanced degree in CS, NLP, or related field; experience with NLP frameworksDegree in CS, statistics, or related; data analysis skills
Work EnvironmentDevelops NLP models, algorithms, and language-specific toolsAnalyzes data, builds predictive models, visualizes insights
Employer & Industry UsageTech companies, AI startups, research institutions focusing on language techVarious industries including finance, healthcare, marketing

While both roles require strong analytical skills and programming knowledge, Senior NLP Engineers specialize in language-specific models and algorithms, whereas Data Scientists focus on broader data analysis and predictive modeling across various data types.

What are some common challenges faced by senior natural language processing engineers when deploying NLP models to production?

Senior NLP Engineers often encounter challenges such as ensuring model scalability, maintaining accuracy with real-world data, and addressing data privacy concerns. Deploying models at scale requires optimizing for speed and efficiency, as well as monitoring performance to handle domain shifts or unexpected inputs. Collaboration with DevOps and data engineering teams is crucial to integrate models seamlessly into existing pipelines and to ensure robust, maintainable solutions.

What does a senior natural language processing engineer do?

A Senior Natural Language Processing (NLP) Engineer designs and implements advanced algorithms that enable computers to understand, interpret, and generate human language. They work on tasks such as text classification, sentiment analysis, machine translation, and conversational AI. In addition to developing NLP models, they often lead projects, mentor junior team members, and collaborate with data scientists, software engineers, and product managers to build and deploy language-based applications. Their expertise helps organizations leverage language data to solve complex problems and improve user experiences.

What are the key skills and qualifications needed to thrive as a senior natural language processing engineer, and why are they important?

To thrive as a Senior Natural Language Processing Engineer, you need a deep understanding of machine learning, linguistics, and advanced programming skills in languages like Python, typically backed by a degree in computer science or a related field. Familiarity with NLP frameworks (such as spaCy, NLTK, or Hugging Face), cloud platforms, and experience with deep learning libraries like TensorFlow or PyTorch are crucial. Strong problem-solving abilities, effective communication, and the ability to work collaboratively in multidisciplinary teams are standout soft skills. These skills and qualities are essential for developing, deploying, and refining language-based AI solutions that meet complex business and user needs.

What are the most commonly searched types of Natural Language Processing Engineer jobs in California?

The most popular types of Natural Language Processing Engineer jobs in California are:

What are popular job titles related to Senior Natural Language Processing Engineer jobs in California?

For Senior Natural Language Processing Engineer jobs in California, the most frequently searched job titles are:

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Senior Natural Language Processing Engineer jobs near you

Staff Machine Learning Engineer, Applied Research

Pinterest

San Francisco, CA • On-site, Remote

$241K/yr

Full-time

Posted 13 days ago

Job description

At Pinterest Labs, you'll work on tackling new challenges in machine learning and multi-modal large language models along with a world-class team of research scientists, and machine learning engineers. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: natural language processing (NLP) and reasoning capability, computer vision for multi-modality, graph neural network, inclusive and responsible AI, reinforcement learning, user modeling, and recommender systems.

What you'll do:

  • Contribute to cutting-edge research in machine learning and LLM that can be applied to Pinterest problems, especially search agent, recommendation agent, reason and planning agent
  • Collect, analyze, and synthesize findings from data and build intelligent data-driven model
  • Write clean, efficient, and sustainable code
  • Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across growth, discovery, ads and search
  • Scope and independently solve moderately complex problems

What we're looking for:

  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  • 6+ years of industry experience
  • Experience in machine learning/information retrieval 
  • Mastery of at least one systems languages (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  • Experience in research and in solving analytical problems
  • Cross-functional collaborator and strong communicator
  • Comfortable solving ambiguous problems and adapting to a dynamic environment

In-Office Requirement Statement:

  • We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection.
  • This role will need to be in the office for in-person collaboration 1-2 times/quarter and therefore can be situated anywhere in the country.

Relocation Statement:

  • This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.

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