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Remote Natural Language Processing Jobs in California

UnitedHealth Group

NLP Engineer

San Diego, CA · Remote

$72K - $130K/yr

The Natural Language Processing (NLP) Engineer is a key technical contributor in the design and development of state-of-the-art NLP and Artificial Intelligence (AI) for medical applications. The Sr ...

Augment CXM

Lead Product Designer

San Francisco, CA · On-site +1

$182K - $224K/yr

Our products apply the latest techniques in natural language processing inside of modern consumer ... remote). Augment is an equal opportunity employer and values diversity at our company. We do not ...

Profluent

Machine Learning Scientist, BioML

Emeryville, CA · On-site +1

$200K - $330K/yr

PhD (or equivalent industry experience) in Computer Science, Machine Learning, Natural Language Processing, Applied Math, Computational Biology, Statistics, or a related field * Experience with ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

Apply Natural Language Processing and Computer Vision to solve business use cases, * Strong skills ... S. in Computer Science, Computational Physics, Operations Research, Geospatial Sciences, Remote ...

Corvel

Data Scientist II

Irvine, CA · On-site +1

$82K - $127K/yr

Natural language processing (NLP) * Large language models (LLMs) * Retrieval-Augmented Generation ... Remote Equal Opportunity Employer This employer is required to notify all applicants of their ...

Figma

AI Applied Scientist

San Francisco, CA · On-site +1

... natural language processing/understanding, computer vision * Strong software engineering skills with 5+ years of experience in programming languages (Python, C++, Java or R) * Experience ...

Figma

Software Engineer - AI Product

San Francisco, CA · On-site +1

Demonstrated expertise in AI indexing, retrieval systems, personalization, and/or natural language processing * Proven track record of planning a multi-year roadmap in which shorter-term projects ...

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Remote Natural Language Processing information

What is a remote natural language processing job?

A Remote Natural Language Processing (NLP) job involves working with computer systems that can understand, interpret, and generate human language. Professionals in this field typically develop algorithms and models to process text or speech, enabling applications like chatbots, translation services, sentiment analysis, and more. Working remotely means that all tasks, collaboration, and communication are conducted online, allowing flexibility in location. This role usually requires a background in computer science, linguistics, or data science, along with experience in machine learning and NLP frameworks.

What are some common challenges faced by professionals working remotely in natural language processing roles, and how can they be addressed?

Professionals in remote Natural Language Processing (NLP) roles often face challenges such as effective communication with distributed teams, staying updated with fast-evolving NLP technologies, and managing large datasets securely. To address these, it's important to establish regular check-ins with team members, participate in virtual communities and training, and use secure, cloud-based collaboration tools for data handling. Proactively engaging in code reviews and knowledge-sharing sessions also helps maintain alignment and fosters innovation within remote NLP teams.

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

To thrive as a Remote Natural Language Processing (NLP) Specialist, you need strong expertise in linguistics, programming (especially Python), and a solid foundation in machine learning, typically supported by a relevant degree in computer science or computational linguistics. Familiarity with NLP frameworks and libraries such as NLTK, spaCy, and TensorFlow, as well as experience working with cloud platforms and version control systems, is essential. Excellent problem-solving abilities, communication skills, and the capacity to work independently are vital soft skills for remote collaboration and project delivery. These skills ensure the development of effective language models and applications, smooth team communication, and the ability to meet project goals in a remote environment.

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

AspectRemote Natural Language ProcessingRemote Data Scientist
Required credentialsDegree in Computer Science, Data Science, or Linguistics; experience with NLP toolsDegree in Data Science, Statistics, or related fields; programming skills
Work environmentFocus on language data, text analysis, NLP modelsBroader data analysis, statistical modeling, machine learning
Employer usageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting
Search intentJobs involving language processing, NLP projectsData analysis, predictive modeling, data-driven insights

Remote Natural Language Processing specialists focus on developing and implementing language-based AI models, while Remote Data Scientists work on analyzing diverse data sets to inform business decisions. Both roles require strong technical skills, but NLP roles are more specialized in language data, whereas Data Scientists handle a broader range of data types.

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

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

What cities in California are hiring for Remote Natural Language Processing jobs?

Cities in California with the most Remote Natural Language Processing job openings:

Remote Natural Language Processing jobs near you

Staff Machine Learning Engineer, Applied Research

San Francisco, CA • On-site, Remote

Pinterest
Internet and IT • 1 - 5K employees
Learn more about Pinterestexternal

$241K/yr

Full-time

Posted 24 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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