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Remote Full Stack Machine Learning Engineer Jobs in Hiram, GA

Sr Software Engineer

Atlanta, GA · On-site +1

$101K - $169K/yr

Full-Stack & Cross-Platform Development * Design, develop, test, and deploy full-stack applications ... Promote a culture of quality, continuous improvement, and learning. Who You Are * 6+ years of ...

Clerkie is a remote-first company, with over 40 employees spanning 4 time zones across the United ... You'll work across the full stack, collaborating with engineers on frontend, backend, and ...

AI/ML Engineer - Remote

Atlanta, GA · Remote

$200 - $350/hr

Remote Job Summary We are seeking an experienced AI/ML Engineer to build and deploy secure ... machine learning applications. Key Responsibilities * Design, implement, and optimize AI/ML ...

Senior Platform Engineer

Atlanta, GA · Remote

$100K - $138K/yr

Senior Platform Engineer - REMOTE Our client is at the forefront of applying machine learning research to transform the way medical conversations are understood and utilized. **The Role** We are in ...

Learning Manager

Atlanta, GA · On-site +1

$72K - $78K/yr

USA, Remote. Candidates must be based in the Eastern or Central time zones, with preference for ... Artificial intelligence and machine learning applications are already changing many aspects of our ...

Senior Software Engineer

Atlanta, GA · Remote

$117K - $155K/yr

DEPLOY has been retained to find a senior-level Software Engineer to join us on an hourly, flexible ... Own the design, build, and delivery of user-facing features and full-stack slices of AI-first web ...

Web Development Tutor

Atlanta, GA · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Roswell, GA · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Web Development Tutor

Marietta, GA · Remote

$18 - $40/hr

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

... based learning, code reviews, and incremental application building to support students from HTML beginners through advanced developers building production-ready full-stack web applications.

Remote Let's create our future together at The AES Group! About The AES Group: The AES Group is a ... Requirements: * 7-10 years of hands-on experience in full-stack application development. * Strong ...

... engineer or technical lead and prior leadership of at least one engineering team. * Hands-on full-stack development depth and the desire to continue building while managing engineers. * Strong ...

Showing results 41-60

Remote Full Stack Machine Learning Engineer information

See Hiram, GA salary details

$39.1K

$118.5K

$167.5K

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

As of Sep 9, 2026, the average yearly pay for remote full stack machine learning engineer in Hiram, GA is $118,477.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,600.00 and $138,900.00 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 Hiram, GA look for?

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

What cities near Hiram, GA are hiring for Remote Full Stack Machine Learning Engineer jobs?

Cities near Hiram, GA with the most Remote Full Stack Machine Learning Engineer job openings:

Sr Software Engineer

Atlanta, GA • On-site, Remote

Cox Communications, Inc.
Media and Telecom • 10K+ employees

$101K - $169K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 23 days ago


Cox Communications rating

8.2

Company rating: 8.2 out of 10

Based on 128 frontline employees who took The Breakroom Quiz

21st of 101 rated telecommunications companies


Job description

Company

Cox Automotive - USA

Job Family Group

Engineering / Product Development

Job Profile

Sr Software Engineer

Management Level

Individual Contributor

Flexible Work Option 

Hybrid - Ability to work remotely part of the week

Travel %

No

Work Shift

Day

Compensation

Compensation includes a base salary in the range of $101,500.00 - $169,100.00. The base salary may vary within the anticipated base pay range based on factors such as the ultimate location of the position and the selected candidate's knowledge, skills, and abilities. Position may be eligible for additional compensation that may include an incentive program.

Job Description

The Senior Software Engineer is a hands-on leader responsible for driving the full-stack design, development, and delivery of software solutions across one or more small, high-velocity engineering teams. This role operates above the Software Engineer level and blends deep engineering excellence with a modern AI-first mindset - including the ability to rapidly prototype with tools like Claude, Amazon Bedrock, and other GenAI platforms to accelerate team output and innovation.

What You'll DoTechnical Leadership
  • Develop and review architectural and technical design decisions for features, services, or platforms.
  • Decompose epics and features into technical implementation plans with clear ownership.
  • Review and approve technical designs, code changes, and pull requests
  • Identify technical risks, dependencies, and trade-offs; propose mitigation strategies.
  • Drive root-cause analysis and resolution of complex production issues.
Full-Stack & Cross-Platform Development
  • Design, develop, test, and deploy full-stack applications across the core stack: React / TypeScript (web), Flutter / Dart (mobile & cross-platform), and Python / Node.js (backend).
  • Build and maintain scalable REST and GraphQL APIs using AWS API Gateway + Lambda.
  • Implement CI/CD pipelines, infrastructure-as-code (AWS CDK / SAM), and blue/green deployment strategies
  • Ensure production readiness through observability, automated testing, and monitoring
  • AWS Serverless Architecture (Core Competency).
  • Lead design and delivery of event-driven, serverless-first architectures on AWS. Deep hands-on expertise across:
  • Compute: Lambda, Step Functions
  • Data: DynamoDB (primary), S3, Aurora Serverless
  • Messaging & Events: SQS, SNS, EventBridge
  • API & Auth: API Gateway, Cognito, AppSync
  • Observability: CloudWatch, X-Ray
  • Infrastructure as Code: CDK, SAM, CloudFormation
  • Also responsible for cloud cost optimization, security posture, performance tuning, and defining serverless design patterns and guardrails for the team.
AI-Assisted Engineering & Rapid Prototyping
  • Rapidly prototype new product concepts using Claude, Amazon Bedrock, and other LLM/GenAI platforms.
  • Apply AI-assisted development tools to accelerate code generation, testing, documentation, and code review.
  • Evaluate AI-generated outputs for correctness, security, and production readiness.
  • Define team-level standards and best practices for AI tool adoption.
  • Demonstrate ability to ideate prototype validate ship in tight cycles to support fast-moving engineering teams.
Team Leadership
  • Serve as the technical anchor for a small, high-velocity scrum team - guiding direction, coaching engineers, and driving accountability.
  • Partner with Product Managers, Architects, and QA to align technical direction with organizational goals.
  • Mentor mid-level, and junior engineers on design, cloud practices, and AI tool usage.
  • Promote a culture of quality, continuous improvement, and learning.
Who You Are
  • 6+ years of professional software engineering experience.
  • Across web (React/TypeScript), mobile/cross-platform (Flutter/Dart), and backend (Python or Node.js): True full-stack fluency.
  • Lambda, DynamoDB, API Gateway, SQS/SNS, EventBridge: Minimum 2 years of hands-on AWS serverless experience.
  • Demonstrated experience with using CI/CD, infrastructure-as-code, and serverless deployment patterns.
  • Proven track record of rapid prototyping with AI/GenAI tools in a professional setting.
  • Experience leading technical initiatives and mentoring small engineering teams.
  • Understanding of prompt engineering, context management, and AI tool limitations.
  • Availability for rotational on-call duties outside of standard business hours may be required.

  • Bachelor's degree (list any requirements of discipline here) and 4 years' experience in arelated field. The right candidate could also have a different combination, such as amaster's degree and 2 years' experience; a Ph.D. and up to 1 year of experience; or 16years' experience in a related field.
Preferred Qualifications
  • Experience with Amazon Bedrock, Claude API, or other LLM integrations.
  • Familiarity with AWS CDK or SAM for infrastructure provisioning.
  • Exposure to agentic AI workflows and multi-agent systems.
  • AWS certification (Solutions Architect, Developer, or equivalent).
Primary Tech Stack

Layer

Technologies

Web Frontend

React, TypeScript

Mobile / Cross-Platform

Flutter, Dart

Backend

Python, Node.js

Database

DynamoDB, S3, Aurora Serverless

Serverless / Cloud

AWS Lambda, Step Functions, API Gateway, SQS, SNS, EventBridge, Cognito, AppSync

DevOps / IaC

GitHub, AWS CDK / SAM, CloudFormation, CI/CD pipelines

Observability

CloudWatch, X-Ray

AI Tools

Claude, Amazon Bedrock, LLM APIs

Drug Testing

To be employed in this role, you'll need to clear a pre-employment drug test. Cox Automotive does not currently administer a pre-employment drug test for marijuana for this position. However, we are a drug-free workplace, so the possession, use or being under the influence of drugs illegal under federal or state law during work hours, on company property and/or in company vehicles is prohibited.

Benefits

The Company offers eligible employees the flexibility to take as much vacation with pay as they deem consistent with their duties, the company's needs, and its obligations; seven paid holidays throughout the calendar year; and up to 160 hours of paid wellness annually for their own wellness or that of family members. Employees are also eligible for additional paid time off in the form of bereavement leave, time off to vote, jury duty leave, volunteer time off, military leave, and parental leave.

About Us

Through groundbreaking technology and a commitment to stellar experiences for drivers and dealers alike, Cox Automotive employees are transforming the way the world buys, owns, sells - or simply uses - cars. Cox Automotive employees get to work on iconic consumer brands like Autotrader and Kelley Blue Book and industry-leading dealer-facing companies like vAuto and Manheim, all while enjoying the people-centered atmosphere that is central to our life at Cox. Benefits of working at Cox may include health care insurance (medical, dental, vision), retirement planning (401(k)), and paid days off (sick leave, parental leave, flexible vacation/wellness days, and/or PTO). For more details on what benefits you may be offered, visit our benefits page. Cox is an Equal Employment Opportunity employer - All qualified applicants/employees will receive consideration for employment without regard to that individual's age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, physical or mental disability, veteran status, genetic information, ethnicity, citizenship, or any other characteristic protected by law. Cox provides reasonable accommodations when requested by a qualified applicant or employee with disability, unless such accommodations would cause an undue hardship.EOE, including disability/vets




What Cox Communications employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Cox Communications logo

About Cox Communications

Sourced by ZipRecruiter

Cox Communications is the largest private telecom company in America, serving six million homes and businesses. That's a lot, but we also proudly serve our employees. Our benefits and our award-winning culture are just two of the things that make Cox a coveted place to work. If you're interested in bringing people closer through broadband, smart home tech and more, join Cox Communications today! Cox empowers employees to build a better future and has been doing so for over 120 years. With exciting investments and innovations across transportation, communications, cleantech and healthcare, our family of businesses - which includes Cox Automotive and Cox Communications - is forging a better future for us all. Ready to make your mark?

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Atlanta, GA, US