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Senior Natural Language Processing Engineer Jobs in California

Senior Research Scientist

Palo Alto, CA · On-site

$115K - $147K/yr

... scientists and research engineers as well as peers across the organization. Qualifications ... and natural language processing • Familiarity with training distributed training of neural ...

Westlake Village, CA (Onsite, NO REMOTE) Excellent contract-to-hire job opportunity As a Software Developer for the Artificial Intelligence team, work on Machine Learning, Natural Language Processing ...

As part of this group, you'll work with our machine learning, natural language processing, and ... Software Engineering, or equivalent proven experience. Preferred Qualifications Software ...

As part of this group, you'll work with our machine learning, natural language processing, and ... Software Engineering, or equivalent proven experience. Preferred Qualifications Software ...

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.

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.

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.

... natural language processing (NLP) fundamentals and techniques • Experience with training and fine-tuning LLMs on large-scale datasets • Proficient in one or more programming languages such as ...

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)

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.

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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:
What job categories do people searching Senior Natural Language Processing Engineer jobs in California look for? The top searched job categories for Senior Natural Language Processing Engineer jobs in California are:
What cities in California are hiring for Senior Natural Language Processing Engineer jobs? Cities in California with the most Senior Natural Language Processing Engineer job openings:
Senior Machine Learning Research Engineer, NLP, Input Experience

Senior Machine Learning Research Engineer, NLP, Input Experience

Apple

Cupertino, CA • On-site

$252K/yr

Full-time

Re-posted 15 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 670 frontline employees who took The Breakroom Quiz

5th of 30 rated technology retailers


Job description

Our team's mission is to enhance ML powered user experiences on all Apple platforms through personalized multimodal input, composition, and understanding, with a global perspective. We achieve this daily by collaborating at the intersection of natural language processing, machine learning, and software engineering.
We are responsible for the machine learning and software (non-UI) development for several user-facing Apple Intelligence features, including Writing Tools, Summarization, Found In Apps, and Messages/Mail Smart Replies. Additionally, we oversee the keyboard machine learning and software stack, which includes autocorrection, suggestions, and inline completions.
If you're passionate about being part of an ambitious, organized, and collaborative team that delivers user experiences with pioneering ML partnered with the best UI designs, join the Input Experience NLP team. Here, you'll have the opportunity to transition from building groundbreaking NLP models to optimizing them for various hardware backends and user interfaces that create an enchanting experience.
Description
As a Machine Learning Research Engineer on our team, you'll build and iteratively refine model pipelines that enable machine learning driven user experiences on Apple products. You'll conduct experiments and create prototypes for innovative approaches to enhance the quality of our models and expand their intelligence. Additionally, you'll implement the building blocks and infrastructure that integrate these innovations into our production pipelines and contribute evaluation metrics to measure progress.
Minimum Qualifications
MS or PhD in Computer Science or related field with at least 2 years of industry experience
Strong Python programming skills, with experience developing production-quality Python modules
Solid background in machine learning, data science, natural language processing, or statistics
Preferred Qualifications
Experience building and maintaining model pipelines end-to-end, from data curation to evaluation
Ability to design and perform experiments that bring ML and NLP research ideas to production
Familiarity with LLMs, such as SFT, RHLF, prompt engineering, data synthesis, automatic evaluation, and RAG
Excellent written and verbal communication skills
History of developing in Python and / or Swift
Record of publications, innovations, and/or leadership

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976