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Advanced Search Jobs in California (NOW HIRING)

Centerfield

Specialist, Paid Search

Los Angeles, CA · On-site

$70K - $72K/yr

Paid Search Specialists play a key role in supporting Centerfield's Media Buyers with both pre- and ... Advanced Excel skills with the ability to complete VLOOKUPs and Pivot Tables. * Experience working ...

Walmart

Staff, Software Engineer

San Jose, CA · On-site

$143K - $286K/yr

In the eCommerce Search domain, the engineer leads the development of advanced search capabilities that improve user engagement and business outcomes. Responsibilities include mentoring engineers ...

Walmart

Staff, Software Engineer

San Mateo, CA · On-site

$143K - $286K/yr

In the eCommerce Search domain, the engineer leads the development of advanced search capabilities that improve user engagement and business outcomes. Responsibilities include mentoring engineers ...

Walmart

Staff, Software Engineer

Milpitas, CA · On-site

$143K - $286K/yr

In the eCommerce Search domain, the engineer leads the development of advanced search capabilities that improve user engagement and business outcomes. Responsibilities include mentoring engineers ...

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SEO and Web/Wordpress Specialist

Irvine, CA · On-site

$30 - $42/hr

Implement advanced on-page, off-page, and technical SEO strategies focused on B2B audiences * Optimize site architecture, metadata, internal linking, and content to improve Google rankings * Improve ...

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Advanced Search information

See California salary details

$32.1K

$74.5K

$109.1K

How much do advanced search jobs pay per year?

As of Aug 7, 2026, the average yearly pay for advanced search in California is $74,511.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $90,300.00 per year, depending on experience, location, and employer.

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

To excel in an Advanced Search role, individuals typically need strong analytical skills, experience in search engine optimization (SEO), keyword research, and data analysis, often supported by a background in computer science, information systems, or a related field. Familiarity with specialized tools such as Elasticsearch, Solr, Google Analytics, and advanced Boolean search techniques is commonly required. Attention to detail, problem-solving abilities, and effective communication are essential soft skills for this position. These skills are crucial to developing, refining, and troubleshooting complex search algorithms that drive accurate and relevant results for users or organizations.

What are some typical challenges faced by professionals in advanced search roles?

Professionals in Advanced Search roles often encounter challenges such as ensuring the relevancy and accuracy of search results, managing large and evolving datasets, and customizing algorithms to meet specific business or user needs. They must continuously adapt to new technologies and data patterns, troubleshoot search quality issues, and collaborate with cross-functional teams such as developers, data scientists, and product managers. Staying updated on best practices and search trends is crucial to overcoming these obstacles. Addressing these challenges effectively helps improve user experience, drive business goals, and maintain a competitive edge in search capabilities.

What is an advanced search?

An Advanced Search job typically involves conducting specialized, in-depth searches to find specific information, candidates, or data across various platforms. Professionals in this role use advanced search techniques, Boolean logic, and specialized tools to retrieve accurate and relevant results. They are often employed in fields like recruitment, market research, competitive intelligence, or cybersecurity. Strong analytical skills and proficiency with search engines, databases, and research methodologies are essential for success in this role.

What are popular job titles related to Advanced Search jobs in California? For Advanced Search jobs in California, the most frequently searched job titles are:
What job categories do people searching Advanced Search jobs in California look for? The top searched job categories for Advanced Search jobs in California are:
Advanced Search jobs near you
Infographic showing various Advanced Search job openings in California as of August 2026, with employment types broken down into 1% As Needed, 71% Full Time, 24% Part Time, 2% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $74,511 per year, or $35.8 per hour.

Machine Learning Engineer, Local Search & Marketplace

NewsBreak

Mountain View, CA • On-site

$190K - $300K/yr

Full-time

Posted 16 days ago

Job description

About NewsBreak
Founded in 2015, NewsBreak is the Content Intelligence platform shaping the future content economy. With over 40 million monthly active users, our flagship platform delivers highly personalized local news and information powered by advanced AI, recommendation systems, and adtech.
Recognized by Fast Company as #32 on the Top Workplaces for Innovators, we're proud to be Great Place to Work® certified and home to a dynamic team of technologists, product innovators, and business leaders who are passionate about solving meaningful challenges at scale.
Together, we reached unicorn status in 2021, and we remain committed to continuing this high-growth trajectory with the right team to fulfill our mission: building the infrastructure layer for content intelligence.
If you're inspired to dream big, innovate fast, and make a difference, we'd love to hear from you! For more information, visit www.newsbreak.com/about
About the Role
We are looking for a Machine Learning Engineer to build intelligent systems that connect consumers with relevant local information, businesses, and services.
You will work across areas such as search, recommendation, ranking, retrieval, user-intent understanding, personalization, and marketplace matching. Depending on your background and interests, you may focus on understanding consumer demand, improving search and recommendation relevance, or building models that more effectively match users with local supply.
This is a hands-on role with the opportunity to take machine learning solutions from problem definition and experimentation through production deployment and iteration. We welcome candidates across a range of experience levels, and the scope and level of the role will be calibrated based on the candidate's experience.
What You'll Do
  • Build and improve machine learning models for search, recommendation, ranking, retrieval, matching, and personalization.
  • Develop systems that understand user queries, behaviors, preferences, and context.
  • Apply embeddings, natural language processing, large language models, and modern retrieval techniques to connect consumer demand with relevant local content, businesses, or services.
  • Build and optimize end-to-end ML pipelines, from data preparation and model training to online serving and monitoring.
  • Partner with product, engineering, and data teams to define problems, identify opportunities, and translate business needs into scalable ML solutions.
  • Design and analyze online and offline experiments to measure model quality and product impact.
  • Improve key product outcomes such as relevance, engagement, conversion, retention, and marketplace efficiency.
  • Explore new ML and LLM techniques and bring them into production where they can deliver measurable value.
What We're Looking For
  • Experience building machine learning, data mining, search, recommendation, ranking, NLP, or related systems through academic projects, internships, or industry work.
  • Strong programming skills in Python, Java, C++, or another relevant language.
  • Solid understanding of machine learning fundamentals, data structures, algorithms, and statistical analysis.
  • Experience with one or more of the following:
    • Search, retrieval, or learning-to-rank
    • Recommendation or personalization
    • Query understanding, intent classification, or NLP
    • Embeddings, semantic search, or large language models
    • Matching, marketplace optimization, or dispatch
  • Ability to work with large-scale or complex datasets and translate ambiguous problems into practical solutions.
  • Strong collaboration and communication skills.
  • Interest in building production systems that serve real users and deliver measurable product impact.
Nice to Have
  • Experience deploying and maintaining machine learning models in production.
  • Experience with experimentation, including A/B testing, causal analysis, or marketplace experiments.
  • Familiarity with deep learning frameworks and ML infrastructure, such as PyTorch, TensorFlow, Spark, Kubernetes, or feature and model-serving platforms.
  • Experience building taxonomies, user-interest representations, knowledge graphs, or behavioral models.
  • Experience applying LLMs to search, recommendation, classification, or information retrieval.
  • Background in local search, local services, maps, commerce, marketplaces, delivery, mobility, or location-based products.
  • Experience at a consumer internet, search, recommendation, advertising, e-commerce, or marketplace company.
Annual Base Pay Range
$190,000 - $300,000
The US base salary range for this full-time position will vary based on job-related skills, level, experience, geographic location, and relevant education or training.
At NewsBreak, we design our overall rewards package to attract top talent. Depending on the position and level, the role may also be eligible for a discretionary bonus and equity. Your recruiter can share more details during the hiring process.
The US base salary range for this full-time position is listed below. Pay may vary based on a number of factors including job-related skills, level, experience, geographic location and relevant education or training. At NewsBreak, we design our overall rewards package to attract top talents. Depending on the position, the role may also be eligible for discretionary bonus and options. Your recruiter can share more details during the hiring process.
Annual Base Pay Range
$190,000-$300,000 USD
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