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Medical Encoder Jobs in California (NOW HIRING)

Verkada

Embedded Engineer - Streaming

San Mateo, CA · On-site

$149K - $197K/yr

Design, develop, and optimize embedded video encoding and streaming pipelines for Verkada's camera ... Nationwide medical, vision and dental coverage * Health Saving Account (HSA) with annual employer ...

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Medical Encoder information

See California salary details

$13

$75

$189

How much do medical encoder jobs pay per hour?

As of Aug 12, 2026, the average hourly pay for medical encoder in California is $75.11, according to ZipRecruiter salary data. Most workers in this role earn between $15.19 and $189.81 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a medical encoder, and why are they important?

To thrive as a Medical Encoder, you need a thorough understanding of medical terminology, anatomy, and coding classification systems, often supported by a certificate or diploma in medical coding. Familiarity with coding software such as ICD-10, CPT, and electronic health record (EHR) systems is typically required. Attention to detail, analytical thinking, and strong organizational skills are crucial soft skills that set top performers apart. These abilities ensure accurate medical records, proper billing, and compliance with healthcare regulations, which are vital for both patient care and institutional reimbursement.

What is a medical encoder?

Medical Encoders are healthcare professionals responsible for translating medical diagnoses, procedures, and services into standardized codes using classification systems such as ICD-10, CPT, or HCPCS. These codes are used for billing, insurance claims, and maintaining accurate medical records. Medical Encoders play a crucial role in ensuring healthcare providers are reimbursed correctly and that patient data is organized and accessible. Their work helps prevent errors, supports patient care, and ensures compliance with healthcare regulations.

What are the typical challenges faced by a medical encoder and how can they be managed?

Medical Encoders often encounter challenges such as deciphering illegible handwriting on patient records, keeping up with frequent updates to medical coding standards, and ensuring strict accuracy to avoid claim denials. These can be managed by developing strong attention to detail, regularly attending training sessions on new coding guidelines, and collaborating closely with healthcare providers and billing staff to clarify ambiguous documentation. A supportive team environment and access to up-to-date coding resources are also crucial for navigating these challenges effectively.

Are medical encoders still in demand?

Medical encoders are still in demand as healthcare providers require accurate coding for billing, reimbursement, and compliance. The role often involves familiarity with coding systems like ICD-10 and CPT, and demand is driven by ongoing healthcare industry growth and regulatory requirements.

Is it hard to get hired as a medical encoder?

Getting hired as a medical encoder can be competitive, as it requires attention to detail, knowledge of medical terminology, and often certification such as the Certified Professional Coder (CPC). Employers typically look for relevant experience or training, but entry-level positions are available for those with strong skills and proper certification.

What is the difference between Medical Encoder vs Medical Coder?

AspectMedical EncoderMedical Coder
CredentialsCertification often preferred (e.g., AAPC, AHIMA)Certification often preferred (e.g., CPC, CCS)
Work EnvironmentHealthcare facilities, insurance companies, coding servicesHospitals, clinics, insurance companies
Job FocusConverts medical diagnoses and procedures into codes for billing and documentationAssigns standardized codes to medical diagnoses and procedures for billing and record-keeping

Medical Encoders and Medical Coders both work with medical codes, but encoders primarily use software to assist in code assignment, while coders manually review medical records to assign accurate codes. Both roles are essential in healthcare billing and require similar certifications and work environments.

What are popular job titles related to Medical Encoder jobs in California? For Medical Encoder jobs in California, the most frequently searched job titles are:
What job categories do people searching Medical Encoder jobs in California look for? The top searched job categories for Medical Encoder jobs in California are:
What cities in California are hiring for Medical Encoder jobs? Cities in California with the most Medical Encoder job openings:
Medical Encoder jobs near you
Infographic showing various Medical Encoder job openings in California as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 15% Part Time, 2% Temporary, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $156,220 per year, or $75.1 per hour.

Senior Machine Learning Engineer, CAD Computational Design

Hike Medical

San Francisco, CA • On-site

Full-time

Re-posted 5 days ago

Job description

About Hike Medical
Hike Medical is reinventing how custom orthopedic products are made. Starting from nothing but a smartphone video, we reconstruct an accurate 3D model of a person's foot and turn it into a custom-manufactured insole - automating a workflow that has traditionally depended on plaster casts, manual measurement, and hand design. We're a Series A company moving fast across AI, 3D reconstruction, computational design, and additive manufacturing, and we're expanding from insoles into the broader world of orthotic and prosthetic (O&P) devices.
The Role
We're hiring a machine learning engineer to work on our Computational Design / CAD to own the parametric design layer behind our products. This person lives between software engineering and product design. The core of the job is translating expert clinical knowledge into parametric systems: sitting with clinicians and design experts, figuring out what the parameter space actually is for a given device, understanding which constraints matter, and encoding all of that into CAD pipelines we can automate and layer AI on top of.
Our design generation (SoleGen) started as an AI-first, end-to-end system trained on thousands of 3D insoles. That approach automates most of our existing designs well, but it struggles to extrapolate to expert-driven design changes and to new device categories where we have little or no training data. Our next chapter is a CAD-driven system with AI on top - procedural, parametric models anchored to anatomical landmarks, with AI predicting the right parameters rather than generating geometry end-to-end. This is the discipline we need you to lead.
You'll work closely with our AI team, our clinical and design experts, and our manufacturing team to build the systems that turn a reconstructed foot and a set of clinical requirements into a manufacturable, custom device - reliably, flexibly, and at scale.
What You'll Do
  • Design and build parametric, procedural CAD pipelines that generate custom orthopedic devices from anatomical landmarks and clinical parameters.
  • Partner with clinicians and design experts to extract domain knowledge and translate it into explicit parameter spaces, constraints, and rules that can be automated.
  • Build a maintainable library of parametric components and design primitives that generalize across products and extend cleanly into new device categories (e.g., AFOs and other O&P devices).
  • Collaborate with the AI team to define the interface between learned components (landmark estimation, parameter prediction) and the rule-based CAD layer.
  • Develop geometric tooling - freeform surfaces, trimlines, top-surface estimation, offsets, and feature placement - that produces clinically correct, manufacturable geometry.
  • Drive geometry programmatically through CAD/geometry APIs and kernels, moving beyond GUI-based workflows toward high-throughput, automated modeling.
  • Own the bridge from design to manufacturing, ensuring outputs are printable and meet quality requirements, and helping automate design QC.

What You'll Bring
Required
  • 5+ years building parametric and procedural CAD systems, ideally in a product or manufacturing context. This is the core of the role and where we most need depth.
  • Strong programmatic CAD experience - scripting and automating geometry rather than driving a GUI (e.g., Rhino/Grasshopper, Onshape API, SolidWorks API, Fusion API, or similar).
  • Solid command of geometric modeling fundamentals: NURBS, B-Rep, meshing, and surface/solid operations.
  • Proficiency in Python, Typescript, C++ or any software programming language. You need to code!
  • A collaborative, translational mindset - comfortable sitting with non-engineers (clinicians, designers) and turning fuzzy expert intuition into precise, parameterized systems.
  • Ability to thrive in an early-stage, fast-moving environment where the problem space is still being defined.

Nice to Have
  • Experience with geometric modeling kernels (e.g., OpenCascade, Parasolid).
  • Experience with implicit geometric representations.
  • Experience with simulation-in-the-loop design, shape optimization, or topology optimization.
  • Familiarity with CAD interoperability standards (STEP, IGES, JT, or similar).
  • Exposure to AI-driven or generative CAD workflows - enough to collaborate effectively with our AI team (deep ML expertise is not required; we have that side covered).
  • Background in footwear, orthotics, prosthetics, dental, medical devices, or another domain that maps anatomy to custom physical products.

Why This Role Matters
This is a foundational, high-leverage hire. The parametric design layer is the gap between where our automation is today and where it needs to be to scale across products and clinical use cases. You'll define how Hike encodes clinical design knowledge into software - and that system becomes the backbone for every new device category we launch.
Logistics
  • Location: San Francisco, CA. Onsite.
  • Compensation: Competitive salary plus meaningful early-stage equity and benefits. (Range to be finalized ~$190,000-$270,000 depending on experience and level.)
  • Level: Open to a range of seniority; final leveling determined during the interview process.

Hike Medical is an equal opportunity employer. We welcome applicants of all backgrounds and are committed to building an inclusive team.

Apply