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Sentiment Analysis Jobs in California (NOW HIRING)

... sentiment analysis • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) • Experience adhering to ...

Hands-on experience with text analytics, NLP, and sentiment analysis - including working with conversation or transcript data at scale. Experience defining and establishing performance metrics and ...

Develop a deep, ongoing understanding of investor sentiment, analyst expectations, and market perception, and translate it into clear insights for management. * Analyze and interpret. Assess investor ...

Develop a deep, ongoing understanding of investor sentiment, analyst expectations, and market perception, and translate it into clear insights for management. * Analyze and interpret. Assess investor ...

AI Engineer

Sacramento, CA · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

AI Engineer

Irvine, CA · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

AI Engineer

San Francisco, CA · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

AI Engineer

San Diego, CA · On-site

$50K - $112K/yr

... text analytics and sentiment analysis - Implementing neural networks and deep learning methods for advanced AI applications - Managing data quality and infrastructure to support reliable AI ...

Senior Software Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Experience with conversational AI platforms and integrating AI-powered features into voice infrastructure (e.g., AI transcription, sentiment analysis, or virtual agent integrations) * Familiarity ...

Showing results 41-60

Sentiment Analysis information

What is a sentiment analysis?

A Sentiment Analysis job involves using natural language processing (NLP), machine learning, and data analysis techniques to evaluate and interpret emotions in text data. Professionals in this role analyze customer reviews, social media posts, and other textual content to determine sentiment as positive, negative, or neutral. They help businesses understand customer opinions, track brand perception, and improve decision-making. This role often requires skills in programming, data science, and linguistic analysis.

What are some common challenges encountered in sentiment analysis roles?

Professionals in Sentiment Analysis often face challenges such as dealing with nuanced language, sarcasm, and context-dependent expressions that can affect analysis accuracy. Datasets may require extensive cleaning and pre-processing, and models must be continually refined to keep up with evolving language trends. Collaborating closely with product, marketing, or data science teams is vital to ensure that sentiment insights translate into actionable strategies. Staying up-to-date with advancements in NLP and regularly validating models helps maintain the quality and relevance of your analyses.

What are the key skills and qualifications needed to thrive in the sentiment analysis position, and why are they important?

To excel in Sentiment Analysis, you need a solid understanding of natural language processing (NLP), data analysis, and a degree in computer science, linguistics, or a related field. Familiarity with tools such as Python (with libraries like NLTK, spaCy, or TextBlob), machine learning frameworks, and data visualization software is typically required. Strong problem-solving abilities, analytical thinking, and clear communication skills help professionals effectively interpret data and present insights. These capabilities are crucial for accurately assessing public opinion, improving customer experiences, and guiding business decisions through actionable sentiment data.

What are the most commonly searched types of Sentiment Analysis jobs in California?

The most popular types of Sentiment Analysis jobs in California are:

What are popular job titles related to Sentiment Analysis jobs in California?

For Sentiment Analysis jobs in California, the most frequently searched job titles are:

What job categories do people searching Sentiment Analysis jobs in California look for?

The top searched job categories for Sentiment Analysis jobs in California are:

What cities in California are hiring for Sentiment Analysis jobs?

Cities in California with the most Sentiment Analysis job openings:

Infographic showing various Sentiment Analysis job openings in California as of August 2026, with employment types broken down into 50% Full Time, 10% Part Time, 20% Temporary, and 20% Contract. Highlights an 100% In-person job distribution.

Software Engineer, Machine Learning

Meta

Sunnyvale, CA • On-site

$183K - $257K/yr

Full-time

Re-posted 23 days ago


Meta rating

7.8

Company rating: 7.8 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

Meta is seeking talented experienced engineers to join our teams in building cutting-edge products that connect billions of people around the world. As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
• Implement custom user interfaces using latest programming techniques and technologies
• Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
• Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
• Architect efficient and scalable systems that drive complex applications
• Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
• Work on a variety of coding languages and technologies
• Establish ownership of components, features, or systems with expert end-to-end understanding
Minimum Qualifications
• Demonstrated experience driving change within an organization and leading complex technical projects
• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 8+ years of programming experience in a relevant language OR 4+ years experience with a PhD
• Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Preferred Qualifications
• Masters degree or PhD in Computer Science or a related technical field
• Experience with frameworks like TensorFlow, PyTorch, or Scikit-learn
• Understanding of information retrieval concepts, such as indexing, querying, and ranking
• Demonstrated grasp of data structures and algorithms, including graph theory and optimization techniques
• Knowledge of NLP techniques, including text preprocessing, tokenization, and sentiment analysis
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.
Equal Employment Opportunity
Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.

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