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Machine Learning Engineer Nlp Jobs in California

Senior Machine Learning Engineer

San Francisco, CA · On-site +1

$123K - $169K/yr

Position Overview As a Senior Machine Learning Engineer, you will play a key role in designing ... Experience or strong interest in NLP, information retrieval, conversational AI, or LLM-based ...

... search or NLP tasks. Prior experience in consumer facing product is desired. Prior team lead ... facing Machine Learning driven products Strong programming experience in one or more of the ...

Sr Machine Learning Engineer, Proactive

Santa Clara, CA · On-site

$122K - $168K/yr

... NLP, or recommender systemsStrong programming skills in C/C++ or Python, and experience with ML ... Machine Learning, or a related fieldFamiliarity with NLP/ML tools and packages like Jax,TensorFlow ...

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... You have successfully trained and deployed a deep learning machine model (image, NLP, video, or ...

The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving ... You have successfully trained and deployed a deep learning machine model (image, NLP, video, or ...

As a Senior Machine Learning Engineer , you'll play a pivotal role in designing, building, and ... Previous experience with OCR extraction and NLP methodologies * Knowledge of AI agents and strong ...

Senior Machine Learning Engineer

San Jose, CA · On-site

$122K - $168K/yr

As a Senior Machine Learning Engineer, you will design, build, and deploy machine learning ... and NLP methodologies • Knowledge of AI agents and strong experience with LLMs • Ability to ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer Position: Full time Location: Carlsbad office About Us: NTENT provides a Platform-as-a-Service (PaaS), allowing industry partners to customize, localize and integrate search ...

Machine Learning Engineer

San Jose, CA

$96K - $128K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and ... Deep understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines. * Experience ...

Machine Learning Engineer

San Jose, CA · On-site

$96K - $128K/yr

We are looking for a Machine Learning Engineer to join our team of driven machine learning and ... Deep understanding of Retrieval-Augmented Generation (RAG) and modern NLP pipelines. * Experience ...

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Showing results 1-20

Machine Learning Engineer Nlp information

See California salary details

$31.1K

$127.1K

$191K

How much do machine learning engineer nlp jobs pay per year?

As of Jun 9, 2026, the average yearly pay for machine learning engineer nlp in California is $127,083.00, according to ZipRecruiter salary data. Most workers in this role earn between $100,200.00 and $153,000.00 per year, depending on experience, location, and employer.

What are Machine Learning Engineer NLP roles?

Machine Learning Engineer NLP roles focus on designing, building, and deploying machine learning models that process and understand human language. These engineers work with large datasets to train algorithms for tasks such as text classification, sentiment analysis, language translation, and chatbot development. They combine expertise in computer science, data science, and linguistics, using technologies like deep learning and natural language processing libraries. Their work enables computers to interpret, generate, and respond to human language in meaningful ways.

How does a Machine Learning Engineer specializing in NLP typically collaborate with data scientists and software engineers during a project?

Machine Learning Engineers focused on NLP often work closely with data scientists to translate research findings and experimental models into scalable, production-ready systems. They collaborate with software engineers to integrate NLP models into larger applications, ensuring efficient deployment and performance. Communication and teamwork are key, as engineers must balance model accuracy with system requirements, address technical challenges together, and iterate on solutions based on feedback from cross-functional teams.

What is the difference between Machine Learning Engineer Nlp vs Data Scientist?

AspectMachine Learning Engineer NlpData Scientist
Required CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in CS, Statistics, or related; strong analytical skills
Work EnvironmentDevelops NLP models, deploys ML solutions, collaborates with engineering teamsAnalyzes data, builds models, interprets data insights for business decisions
Employer & Industry UsageTech companies, AI startups, research institutions focusing on NLP applicationsFinance, healthcare, marketing, and tech sectors analyzing large datasets

While both roles require strong data analysis skills and knowledge of machine learning, Machine Learning Engineer Nlp focuses on developing and deploying NLP models, whereas Data Scientists analyze data to generate insights and inform decisions. The roles often overlap but differ in their primary focus and responsibilities.

What are the key skills and qualifications needed to thrive as a Machine Learning Engineer specializing in NLP, and why are they important?

To thrive as a Machine Learning Engineer in NLP, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and a background in mathematics or computer science, often supported by a relevant degree. Familiarity with NLP libraries and frameworks such as TensorFlow, PyTorch, spaCy, and Hugging Face Transformers, as well as experience with cloud platforms and version control systems, is crucial. Excellent problem-solving abilities, effective communication, and a collaborative mindset are standout soft skills in this role. These competencies enable the development, deployment, and optimization of NLP models that solve real-world language processing challenges efficiently and innovatively.
Infographic showing various Machine Learning Engineer Nlp job openings in California as of May 2026, with employment types broken down into 2% As Needed, 88% Full Time, 6% Part Time, and 4% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $127,083 per year, or $61.1 per hour.
Machine Learning Engineer - Health AIML

Machine Learning Engineer - Health AIML

Apple

Cupertino, CA • On-site

Full-time

Posted 4 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 661 frontline employees who took The Breakroom Quiz

6th of 30 rated technology retailers


Job description

The Health AI team is at the forefront of machine learning and health science at Apple. We are a close-knit team of highly accomplished, deeply technical research scientists, software engineers, and machine learning engineers passionate about delivering innovative technologies that impact millions of users. We are looking for a senior engineer excited about solving real-world problems in the health domain that make a difference in our customers' lives.
In this role, you will use your skills and experience in software engineering, machine learning, deep learning, and generative AI to design, implement, tune, and evaluate machine learning models and systems. You will solve ambitious problems involving unique data and high-impact products, including state-of-the-art generative AI technologies. The successful candidate should possess excellent interpersonal skills and the ability to work cross-functionally to rapidly apply engineering best practices and novel research techniques at the intersection of Health, ML, and consumer products.
10+ years of overall software development experience.Experience leading a team and/or a proven track record of cross-functional collaboration to deliver customer-facing features with machine learning capabilities in production.BS/MS/Ph.D. in Computer Science, Computer Engineering, Machine Learning, or related fields (or equivalent qualification).
Ph.D. in Computer Science, Machine Learning, or a related field.Strong background in generative models, natural language processing (NLP), and large language models (LLMs).5+ years of hands-on experience in state-of-the-art machine learning and deep learning applied to large-scale datasets and/or production applications.Proficiency developing and working with large-scale models using modern machine learning packages (e.g., TensorFlow, PyTorch, Jax, Huggingface).Proficiency in building and troubleshooting modern agentic systems (prompt tuning, routing, planning, multi-agent, RAG, tool use, memory management, etc.).Experience with healthcare data, products, and workflows.Ability to thrive in a fast-paced environment, deal with uncertainty, and adapt to new and changing requirements.Proven track record of contributing to diverse teams in a collaborative environment.A passion for building outstanding and innovative products. This position involves a wide variety of interdisciplinary skills.

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

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