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Remote Cpc Jobs in California (NOW HIRING)

Avida

Performance Marketing Manager

San Francisco, CA · Remote

$30K/mo

We are a San Francisco-based, fully remote Series-A stage company backed by prominent Silicon ... Optimize campaign performance daily and weekly -- monitor CPC, CPL, ROAS, and conversion rates ...

SmartFinancial

Media Buyer

Newport Beach, CA · On-site +1

Familiarity with 3rd party CPC, CPL, and CPM platforms and networks is a plus. * Excellent ... Hybrid work arrangements, combining in-office and remote work opportunities. Why You'll Love It ...

SmartFinancial

Media Buyer

Newport Beach, CA · On-site +1

Familiarity with 3rd party CPC, CPL, and CPM platforms and networks is a plus. * Excellent ... Hybrid work arrangements, combining in-office and remote work opportunities. Why You'll Love It ...

Corvel

Provider Relations Sp I

Folsom, CA · Remote

$13.38 - $23.42/hr

This is a remote position. ESSENTIAL FUNCTIONS & RESPONSIBILITIES: * Communicate clearly and ... CPC and/or expert in bill review analysis preferred PAY RANGE CorVel uses a market-based approach ...

AmeriPharma

Senior Paid Search Specialist

Laguna Hills, CA · Remote

$83K - $102K/yr

Location: Remote, Laguna Hills, CA. * Hours: Monday-Friday, 9:00AM-5:30PM Duties and ... Analyze KPIs including CTR, CPC, CPA, conversion rates, and video performance using GA4, Looker ...

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Showing results 21-40

All JobsCpc JobsRemote Cpc JobsRemote Cpc Jobs in California

Remote Cpc information

See California salary details

$16

$28

$69

How much do remote cpc jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for remote cpc in California is $28.90, according to ZipRecruiter salary data. Most workers in this role earn between $21.59 and $28.70 per hour, depending on experience, location, and employer.

What are some common challenges faced by remote CPCs when ensuring accurate medical coding and billing?

Remote Certified Professional Coders (CPCs) often face challenges such as staying updated with frequent changes in coding guidelines and payer requirements, maintaining clear communication with healthcare providers, and managing distractions in a home office environment. Since they work remotely, Remote CPCs must be proactive in seeking clarification on documentation and collaborating with team members through digital channels. Additionally, they are responsible for maintaining data security and confidentiality while accessing sensitive patient records from home.

What is a remote CPC?

A Remote CPC is a Certified Professional Coder who performs medical coding tasks from a remote location, such as their home, rather than working onsite at a healthcare facility. Remote CPCs review clinical documents and assign standardized codes for diagnoses and procedures, which are essential for billing and insurance purposes. This role requires a CPC certification, strong attention to detail, and a reliable internet connection. Remote CPCs often enjoy flexible schedules but must maintain strict data security and confidentiality standards.

What are the key skills and qualifications needed to thrive as a remote CPC?

To thrive as a Remote CPC, you need a solid understanding of medical coding guidelines, anatomy, and healthcare reimbursement systems, typically validated by earning the CPC certification from AAPC. Familiarity with electronic health record (EHR) systems, coding software such as 3M or EncoderPro, and regular use of ICD-10, CPT, and HCPCS code sets is essential. Strong attention to detail, self-motivation, and effective written communication are critical soft skills for remote work. These skills ensure accurate coding, compliance, and efficient workflow, which are vital for proper billing and minimizing claim denials.

What is the difference between Remote Cpc vs Remote Medical Biller?

AspectRemote CpcRemote Medical Biller
CredentialsCertified Professional Coder (CPC)Typically no certification required, but certifications like CPC are common
Work EnvironmentHome-based, healthcare offices, billing companiesHome-based, healthcare offices, billing companies
Industry UsageMedical coding, insurance reimbursementMedical billing, insurance claims processing
Job FocusAssigning codes to diagnoses and proceduresSubmitting claims and following up on payments

Remote Cpc and Remote Medical Biller roles often overlap but differ mainly in focus. Remote Cpc specialists primarily assign medical codes, while Remote Medical Billers handle claims submission and payment follow-up. Both roles require healthcare industry knowledge, but certifications like CPC are essential for Remote Cpc positions. Understanding these differences helps job seekers target the right opportunities in healthcare billing and coding.

What are the most commonly searched types of Cpc jobs in California? The most popular types of Cpc jobs in California are:
What are popular job titles related to Remote Cpc jobs in California? For Remote Cpc jobs in California, the most frequently searched job titles are:
What job categories do people searching Remote Cpc jobs in California look for? The top searched job categories for Remote Cpc jobs in California are:
What cities in California are hiring for Remote Cpc jobs? Cities in California with the most Remote Cpc job openings:
Remote Cpc jobs near you
Infographic showing various Remote Cpc job openings in California as of July 2026, with employment types broken down into 86% Full Time, and 14% Part Time. Highlights an 7% In-person, and 93% Remote job distribution, with an average salary of $60,122 per year, or $28.9 per hour.

Senior Principal Machine Learning Engineer - Optimization

PubMatic

Redwood City, CA • On-site, Remote

$153K - $211K/yr

Other

Medical, Dental, Vision, Life, PTO

Re-posted 13 days ago

Job description

Role: Hybrid in Redwood City, CA. (Will consider Remote for the right candidate)

Must have: Experience building large-scale prediction or optimization systems

PubMatic is the leading AI-powered ad tech company delivering measurable advertising performance through an intelligent, unified platform that connects buyers, publishers, data partners, and commerce media across CTV, mobile app, and omnichannel environments.

About the Role:

We are looking for a Senior Principal Machine Learning Engineer to help build the next generation of performance optimization capabilities for PubMatic's Activate platform.
This role is focused on applying machine learning, prediction, ranking, calibration, experimentation, and optimization techniques to improve campaign outcomes across performance advertising goals such as CTR, VCR, CPC, CPA, and ROAS. The ideal candidate has strong ML fundamentals and experience building large-scale production models or optimization systems. 

What You'll Do:

  • Build and improve machine learning models for campaign optimization, prediction, ranking, bidding, forecasting, and calibration.
  • Develop models and algorithms that improve advertiser outcomes while balancing spend delivery, cost efficiency, campaign goals, marketplace dynamics, and system constraints.
  • Work on large-scale ML systems using signals from auctions, impressions, clicks, video events, conversions, users, context, inventory, campaigns, and marketplace feedback.
  • Design and improve CTR, CVR, VCR, CPA, ROAS, app-install, user-value, and campaign-performance models.
  • Develop bidding, pacing-aware optimization, ranking, exploration, and value-estimation approaches for performance advertising.
  • Improve model calibration, online/offline evaluation, experimentation, observability, and production feedback loops.
  • Reason through sparse conversions, delayed feedback, biased logs, cold-start campaigns, attribution noise, and online/offline metric mismatch.
  • Partner with performance advertising signal engineers to define model-ready features, labels, attribution windows, negative examples, training datasets, and online serving requirements.
  • Partner with engineering, product, analytics, and platform teams to translate model outputs into real-time decisioning systems.
  • Help evolve Activate from a media buying execution platform into a performance optimization platform.
  • Provide technical leadership and mentorship to engineers and applied scientists working on performance optimization problems.
  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Preferred Experience: 

    • Experience in ads, search, recommendations, marketplaces, e-commerce, fintech, pricing, bidding, or real-time optimization systems.
    • Experience with performance advertising goals such as CTR, VCR, CPC, CPA, ROAS, app install, retargeting, or user-value optimization.
    • Familiarity with real-time bidding, programmatic advertising, ad serving, attribution, pacing, identity, incrementality, or performance advertising.
    • Experience with exploration/exploitation, counterfactual evaluation, uplift modeling, delayed-feedback modeling, or learning under biased logs.
    • Experience with model calibration, model observability, A/B testing, online experimentation, incrementality testing, or lift measurement.
    • Experience working cross-functionally with product, engineering, analytics, and business stakeholders.

We'd love for you to have:

  • 10+ years of experience building production machine learning, ranking, recommendation, prediction, optimization, ads, marketplace, bidding, or pricing systems.
  • Strong understanding of supervised learning, ranking, calibration, causal thinking, experimentation, statistical evaluation, and model monitoring.
  • Experience building large-scale prediction or optimization systems in production.
  • Experience with CTR/CVR prediction, conversion modeling, bid optimization, value modeling, forecasting, calibration, or performance optimization.
  • Strong ability to reason about model quality, business impact, system constraints, production tradeoffs, and online performance.
  • Experience working with large-scale data and distributed ML workflows.
  • Strong engineering skills in Python, Java, SQL, Spark, TensorFlow, PyTorch, XGBoost, or similar technologies.
  • Ability to provide technical leadership across ambiguous, high-impact optimization problems.
  • BS, MS, or PhD in Computer Science, Machine Learning, Statistics, Mathematics, Engineering, or a related technical field.

Additional Information

Return to Office: PubMatic employees throughout the globe have returned to our offices via a hybrid work schedule (3 days "in office" and 2 days "working remotely") that is intended to maximize collaboration, innovation, and productivity among teams and across functions.

Benefits: Our benefits package includes the best of what leading organizations provide such as, paid leave programs, paid holidays, healthcare, dental and vision insurance, disability and life insurance, commuter benefits, physical and financial wellness programs, unlimited DTO in the US (that we actually require you to use!), reimbursement for mobile and fully stocked pantries plus in-office catered lunches 5 days per week.

Diversity and Inclusion: PubMatic is proud to be an equal opportunity employer; we don't just value diversity, we promote and celebrate it. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status

About PubMatic

PubMatic is one of the world's leading scaled digital advertising platforms, offering more transparent advertising solutions to publishers, media buyers, commerce companies and data owners, allowing them to harness the power and potential of the open internet to drive better business outcomes. Founded in 2006 with the vision that data-driven decisioning would be the future of digital advertising, we enable content creators to run a more profitable advertising business, which in turn allows them to invest back into the multi-screen and multi-format content that consumers demand.

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