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Remote Full Stack Machine Learning Engineer Jobs in Macon, GA

Are You an Unstoppable, High-Energy Lead Gen Machine? This Opportunity Is For You, Hardcore Closer ... Let's talk, my friend This is a remote position. About Us Founded in 2006, Satori Mortgage was ...

Are You an Unstoppable, High-Energy Lead Gen Machine? This Opportunity Is For You, Hardcore Closer ... Let's talk, my friend This is a remote position. About Us Founded in 2006, Satori Mortgage was ...

Are You an Unstoppable, High-Energy Lead Gen Machine? This Opportunity Is For You, Hardcore Closer ... Let's talk, my friend This is a remote position. About Us Founded in 2006, Satori Mortgage was ...

This role oversees full lifecycle project delivery, ensuring technical execution ... This is a fully remote position. Why Join Maximus? - Competitive Compensation - Bonus opportunities ...

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Remote Full Stack Machine Learning Engineer information

See Macon, GA salary details

$42.7K

$129.3K

$182.7K

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

As of May 31, 2026, the average yearly pay for remote full stack machine learning engineer in Macon, GA is $129,254.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $151,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Full Stack Machine Learning Engineer, and why are they important?

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 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 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 Macon, GA look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Macon, GA are:
What cities near Macon, GA are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities near Macon, GA with the most Remote Full Stack Machine Learning Engineer job openings:

Software Engineer, Product Security

Johnson & Johnson

Macon, GA • On-site, Remote

$103K - $165.60K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 21 days ago


Johnson & Johnson rating

8.1

Company rating: 8.1 out of 10

Based on 99 frontline employees who took The Breakroom Quiz

32nd of 70 rated pharmaceutical


Job description

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com

Job Function:

R&D Product Development

Job Sub Function:

R&D Software/Systems Engineering

Job Category:

Scientific/Technology

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

About Surgery

Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that’s reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world’s most prevalent conditions such as obesity, cardiovascular disease and cancer. Patients are waiting.

Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech

Remote work options may be considered on a case-by-case basis and if approved by the Company.

#Li-Hybrid

We are searching for the best talent for a Cybersecurity Software Engineer, to be in Santa Clara, CA.

Purpose: We are looking for an early in career Software Engineer who would help improve the software cybersecurity of our product. The position requires understanding of cybersecurity controls and deliverables, knowledge of C++ preferably in a Linux environment, and the ability to work closely with other software engineers as well as multi-functionally. The successful candidate is self-motivated, curious, and has the desire to bring the essential and best in class cybersecurity controls and implementations into the medical field.

You will be responsible for:

  • Designing, implementing, and testing software solutions for cybersecurity controls.
  • Defining software cybersecurity requirements and detailing the software design of the product based on cybersecurity requirements.
  • Performing software code reviews and design reviews with a cyber-lens.
  • Performing periodic risk assessment of security vulnerabilities in software for the product by identifying and analyzing software vulnerabilities
  • Developing recommendations to mitigate security risks in product software.
  • Developing product software using C++ and scripting languages such as bash in an FDA regulated environment.
  • Actively collaborating with cross-functional product partners including Product Security, systems, test and service teams.
  • Adhering to organization and product level quality processes outlined in the Quality Management System.

Qualifications / Requirements:

  • BS or equivalent in Computer Science, Computer Engineering, or equivalent field.
  • 2+ years of software development and testing experience.
  • 2+ years of experience with software development using C++.
  • 1+ years of experience implementing software controls for product/IOT cybersecurity.
  • Knowledge of cybersecurity concepts such as encryption, authentication and authorization.
  • Working knowledge of Linux Ubuntu and understanding security controls provided by the operating system.
  • Experience of working with multi-threaded applications.
  • Familiarity with shell scripting languages including bash.

Preferred Skills & Experience:

  • MS/MEng in Cybersecurity, or similar field.
  • Familiarity with CI/CD tools and Dev-Sec-Ops tools and processes.
  • Experience working with Agile methodology as an individual contributor.
  • Experience analyzing security risks from sources such as penetration testing, threat modeling, vulnerability management etc.

Other Requirements:

  • Must be at least 18 years of age.
  • Ability to travel up to 10% domestic US and Internationally, with overnight stay.
  • Ability to work onsite at the J&J office in Santa Clara, CA.

The expected base pay range for this position is $89,000 to $143,750.

For the California Bay Area, the anticipated base pay range for this position is $103,000 to $165,600.

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis.

Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance.

Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).

This position is eligible to participate in the Company’s long-term incentive program.

Employees are eligible for the following time off benefits:

  • Vacation – up to 120 hours per calendar year.
  • Sick time - up to 40 hours per calendar year.
  • Holiday pay, including Floating Holidays – up to 13 days per calendar year.
  • Work, Personal and Family Time - up to 40 hours per calendar year.

For additional general information on Company benefits, please go to: https://www.careers.jnj.com/employee-benefits

This job posting is anticipated to close on 4/30/25 The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com to accept additional applications.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource.


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