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Remote Full Stack Machine Learning Engineer Jobs in Lincoln, CA

You will be part of our team, full of talent and desire to innovate, where you will ... We also offer a language learning program. * We are flexible! We have flexible hours and intensive ...

Java Developer - mid

Folsom, CA · Remote

$50 - $58/hr

W2 Employee Base location- Sacramento (Remote) Compensation: DOE and compensation package of ... If you meet and exceed the following skills sets, please respond with your full contact information ...

Coordination of engineering design staff and other disciplines to meet objectives. * Accurate daily ... This position will be remote/hybrid depending on the state & business need. * Strong analytical ...

You'll own the full sales cycle-from pipeline generation through close-navigating complex, multi ... Location: * This role is remote (must be based in Sacramento) Compensation and Benefits: The on ...

Certified Industrial Hygienist

Rocklin, CA · On-site +1

$39.50 - $52/hr

IF YOU CARE, THERE'S A PLACE FOR YOU HERE EFI Global is a full-service engineering, fire ... This is a hybrid/remote role. Prefer candidate reside in the greater Los Angeles or greater San ...

Certified Industrial Hygienist

Sacramento, CA · On-site +1

$40.50 - $53.25/hr

IF YOU CARE, THERE'S A PLACE FOR YOU HERE EFI Global is a full-service engineering, fire ... This is a hybrid/remote role. Prefer candidate reside in the greater Los Angeles or greater San ...

LinkedIn learning access, business development training, supportive mentorship, company-paid ARE ... Base+Bonus+Equity+401k, including student loan repayments, wellness programs, full medical, dental ...

Project Architect

Sacramento, CA · On-site +1

$85K - $127K/yr

LinkedIn learning access, business development training, supportive mentorship, company-paid ARE ... Base+Bonus+Equity+401k, including student loan repayments, wellness programs, full medical, dental ...

... Developer Certification) * Experience with NetSuite integrations and customizations * Full ... We're just as invested in our own team's growth, with hands-on learning and mentorship built into ...

Project Architect

Sacramento, CA · On-site +1

$85K - $127K/yr

LinkedIn learning access, business development training, supportive mentorship, company-paid ARE ... Base+Bonus+Equity+401k, including student loan repayments, wellness programs, full medical, dental ...

... Engineers, Services Specialists, CSMs, and Renewal Consultants, ensuring the customer is at the ... Continuous Learning: You stay current on financial and technology trends, product evolution, and ...

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

See Lincoln, CA salary details

$46.5K

$140.7K

$198.9K

How much do remote full stack machine learning engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for remote full stack machine learning engineer in Lincoln, CA is $140,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $165,000.00 per year, depending on experience, location, and employer.

What is a remote full stack machine learning engineer?

A Remote Full Stack Machine Learning Engineer is a professional who designs, develops, and deploys machine learning solutions while working remotely. They handle both the front-end and back-end aspects of machine learning projects, including data preprocessing, model building, API development, and integration with user interfaces or cloud platforms. This role requires expertise in programming, machine learning frameworks, cloud services, and web technologies, allowing them to build end-to-end AI-driven applications from anywhere in the world.

What are the key skills and qualifications needed to thrive as a remote full stack machine learning engineer?

To thrive as a Remote Full Stack Machine Learning Engineer, you need proficiency in programming languages (such as Python or JavaScript), a solid understanding of machine learning algorithms, experience with web development frameworks, and typically a degree in computer science or a related field. Familiarity with tools like TensorFlow, PyTorch, Docker, cloud computing platforms (AWS, GCP), and version control systems (Git) is essential. Strong problem-solving skills, self-motivation, and clear communication are crucial soft skills, especially in remote and cross-functional team environments. These combined skills ensure effective design, deployment, and integration of machine learning solutions in scalable web applications while maintaining productivity in a remote setting.

What are some common challenges faced by remote full stack machine learning engineers, and how can they be addressed?

Remote Full Stack Machine Learning Engineers often encounter challenges such as managing effective collaboration with cross-functional teams and ensuring smooth deployment of machine learning models into production environments. To address these, it's important to establish clear communication channels, regularly participate in virtual stand-ups, and use collaborative platforms such as GitHub and Slack. Additionally, staying organized with version control and thorough documentation helps maintain project transparency and ensures seamless handoffs between backend and frontend development. Proactively seeking feedback and scheduling regular check-ins with team members can further enhance productivity and integration within the team.

What is the difference between Remote Full Stack Machine Learning Engineer vs Remote Data Scientist?

AspectRemote Full Stack Machine Learning EngineerRemote Data Scientist
Primary FocusDeveloping end-to-end machine learning applications, including backend, frontend, and model deploymentAnalyzing data, creating models, and generating insights without necessarily building full applications
Skills RequiredProgramming (Python, JavaScript), ML frameworks, web development, deployment toolsStatistics, data analysis, visualization, Python/R, SQL
Work EnvironmentCollaborates with developers, data engineers, and product teams in tech-driven companiesWorks with data teams, analysts, and business units in various industries

While both roles involve working with data and machine learning, a Remote Full Stack Machine Learning Engineer builds complete applications with integrated ML models, whereas a Remote Data Scientist focuses on data analysis and model creation without necessarily developing full applications.

What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Lincoln, CA look for?

The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Lincoln, CA are:

What cities near Lincoln, CA are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities near Lincoln, CA with the most Remote Full Stack Machine Learning Engineer job openings:

Radiologic Technology (RT) Faculty

Sacramento Ultrasound Institute

Sacramento, CA • Remote

$50 - $60/hr

Part-time

Re-posted 2 days ago


Job description

SUMMARY

As a Remote Instructor for the Radiography Technology Program, the faculty member plays a critical role in preparing the next generation of Radiologic Technologists through high-quality online instruction. This position focuses on delivering engaging didactic coursework in a virtual environment, supporting student success through structured learning, academic coaching, and consistent evaluation.


The Remote Instructor collaborates closely with the Program Director and faculty team to ensure course content aligns with ARRT standards, program outcomes, and current industry expectations. The instructor ensures students gain the theoretical knowledge, critical thinking ability, and professional readiness required for clinical and workforce success.


RESPONSIBILITIES
Online Instruction & Student Engagement

  • Provide effective remote instruction in assigned Radiography Technology courses using the institution's Learning Management System (LMS).
  • Facilitate interactive online learning through recorded lectures, live sessions, discussion boards, and virtual office hours.
  • Foster student engagement, critical thinking, and academic progression in a distance-learning environment.


Course Development & Delivery

  • Prepare and maintain course syllabi in alignment with program objectives and accreditation standards.
  • Develop and/or update online lesson plans, assignments, assessments, and learning activities.
  • Work collaboratively with the Program Director to maintain curriculum with measurable learning outcomes.
  • Assist with selection and implementation of instructional materials, textbooks, and digital radiography software tools.


Assessment & Student Evaluation

  • Evaluate student performance using course objectives, exams, projects, and competency-based assessments.
  • Provide timely and constructive feedback to support student learning and improvement.
  • Maintain accurate academic records and submit grades in accordance with institutional policy.


Professional Standards & Program Support

  • Emphasize professional readiness and employment preparation as the central goal of the program.
  • Reinforce radiation safety principles and ARRT ethical standards throughout all instruction.
  • Stay current with advancements in radiologic technology, educational best practices, and ARRT updates.
  • Participate in faculty meetings, curriculum review, and programmatic improvement initiatives.


QUALIFICATIONS / REQUIREMENTS
Education & Experience

  • Bachelor's Degree or higher from an accredited institution (required).
  • Minimum of two (2) years of professional experience as a Radiologic Technologist.


Licensure & Credentials

  • Current ARRT certification in Radiography (R.T.(R)) required.
  • Must maintain ARRT credential in good standing throughout employment.
  • Full compliance with ARRT Standards of Ethics and continuing education requirements.


Knowledge & Skills

  • Demonstrated knowledge of radiography didactic course content.
  • Ability to effectively teach and evaluate students in an online learning environment.
  • Strong communication, organization, and digital teaching skills.
  • Experience with Learning Management Systems (Canvas, Moodle, Blackboard, etc.) preferred.


WORK ENVIRONMENT

  • Fully remote instructional position.
  • Requires reliable internet access and ability to conduct virtual teaching and student support.
  • Some on-campus participation may be required for orientation, faculty development, or accreditation activities (as applicable).