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Remote Full Stack Machine Learning Engineer Jobs in Georgia

OptiTrack

Machine Learning & Operations Engineer

Atlanta, GA · On-site +1

$66.90K - $90.50K/yr

This is a fully remote position, working cross-functionally with research and engineering teams ... Develop CI/CD workflows tailored for machine learning systems. * Orchestrate data ingestion ...

AppFolio

Sr. Machine Learning Engineer

GA · Remote

$100.50K - $138K/yr

... full business context of AppFolio -- powering both employee productivity and end-to-end automation. Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

Cypress HCM

Full Stack Developer

Atlanta, GA · On-site +1

$80K - $100K/yr

Full Stack Engineer Location: Remote from Atlanta, GA | In-office time (ATDC) will be available to you but isn't mandated Industry: Healthcare SaaS | Reports To: CTO Responsibilities: * 90% frontend ...

AppFolio

Sr. Machine Learning Engineer

Atlanta, GA · Remote

$100.50K - $138K/yr

... full business context of AppFolio -- powering both employee productivity and end-to-end automation. Who we are looking for We're seeking a Sr Machine Learning Engineer to play a critical role in ...

PangeaTwo

Contract Developer - Remote

Atlanta, GA · On-site +1

$48.25 - $64.25/hr

... Engineer Remote | 6-9 Month Contract | High-Impact Integration & Modernization Project A growing technology-driven distribution and supply chain organization is seeking an experienced Full-Stack ...

StackandCo

\n \n \n \n \n Our client is looking for an experienced Full Stack Developer to join their team for a minimum of 6 months (fully remote). \n \n \n \n \n \n Requirements \n \n \n \n \n \n * 5+ years ...

First American

$185.10K - $198.60K/yr

Implement and support Machine Learning and Generative AI solutions, including LLM-based systems ... engineering experience, including full stack application development and production support.

BSC Analytics

$150K - $175K/yr

Senior Full Stack Engineer - Java & Angular Department: Engineering Employment Type: Full Time ... remote-first culture that values deep expertise, autonomy, and continuous learning. Key ...

Steer

Principal Full Stack Engineer

Atlanta, GA · Remote

... machine. At Steer, you aren't just a contributor; you are the architect of a platform aiming for ... Learning Stipend & WFH Equipment: Everything you need for a world-class home office. * Innovative ...

First Advantage

Sr. Full Stack Engineer (US Remote)

GA · On-site +1

$110K - $140K/yr

Senior Full Stack Engineer Location: United States remote Job Type: Full-Time At First Advantage (Nasdaq: FA), people are at the heart of everything we do. From our customers and partners to our ...

The Hertz Corporation

Sr Full Stack Developer

Atlanta, GA · On-site +1

$140K/yr

This position is available as fully remote with occasional travel, or as a hybrid role (3 days in ... Self-motivated with a passion for continuous learning and improvement What You'll Get: * Up to 40 ...

Hertz

Sr Full Stack Developer

Atlanta, GA · On-site +1

$140K/yr

This position is available as fully remote with occasional travel, or as a hybrid role (3 days in ... Self-motivated with a passion for continuous learning and improvement What You'll Get: * Up to 40 ...

First Advantage

Full Stack Engineer (US Remote)

GA · On-site +1

$110K - $140K/yr

Full Stack Engineer Location: United States remote Job Type: Full-Time At First Advantage (Nasdaq: FA), people are at the heart of everything we do. From our customers and partners to our greatest ...

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Remote Full Stack Machine Learning Engineer information

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 are the most commonly searched types of Full Stack Machine Learning Engineer jobs in Georgia? The most popular types of Full Stack Machine Learning Engineer jobs in Georgia are:
What are popular job titles related to Remote Full Stack Machine Learning Engineer jobs in Georgia? For Remote Full Stack Machine Learning Engineer jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Remote Full Stack Machine Learning Engineer jobs in Georgia look for? The top searched job categories for Remote Full Stack Machine Learning Engineer jobs in Georgia are:
What cities in Georgia are hiring for Remote Full Stack Machine Learning Engineer jobs? Cities in Georgia with the most Remote Full Stack Machine Learning Engineer job openings:
Remote Full Stack Machine Learning Engineer jobs near you
Machine Learning & Operations Engineer

Machine Learning & Operations Engineer

OptiTrack

Atlanta, GA • On-site, Remote

$66.90K - $90.50K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

OptiTrack is a global leader in motion capture technology, delivering precision tracking solutions for animation, robotics, virtual production, biomechanics, and industrial applications.
About the Role
OptiTrack is seeking a Machine Learning Engineer to help design, automate, and scale an MLOps system and provide other support to teams working on projects involving machine learning. This role sits at the intersection of machine learning engineering and infrastructure, focusing on automation of data validation pipelines, orchestration of large-scale experiments, and deployment of high-performance algorithms.
This is a fully remote position, working cross-functionally with research and engineering teams.
What You'll Do
  • Design and maintain automated ML training pipelines.
  • Build infrastructure for large-scale distributed experimentation.
  • Develop CI/CD workflows tailored for machine learning systems.
  • Orchestrate data ingestion, preprocessing, validation, and model versioning.
  • Implement experiment tracking, hyperparameter tuning automation, and reproducibility systems.
  • Optimize GPU/compute utilization across cloud and on-prem environments.
  • Deploy, monitor, and maintain production ML models
  • Establish and enforce MLOps best practices including model registry, artifact management, and observability.
  • Improve system reliability, performance, and security.
  • Collaborate closely with ML researchers make new algorithms product ready.
  • More typical DevOps responsibilities for software development as required.

Requirements
Required Qualifications
  • 3+ years of experience in MLOps, ML infrastructure, Machine Learning, or related roles or relevant degree experience.
  • Experience with Python and ML frameworks (PyTorch, TensorFlow, or similar)
  • Experience building CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.)
  • Hands-on experience with containerization (Docker) and orchestration
  • Experience managing GPU workloads and distributed training systems
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Strong understanding of automation, infrastructure reliability, and data pipelines
  • Ability to work with both European and US developers.

Preferred Qualifications
  • Experience with motion capture or computer vision systems
  • Familiarity with experiment tracking tools (MLflow, Weights & Biases, etc.)
  • Background in distributed systems or high-performance computing
  • Experience with workflow orchestration tools (Airflow, Argo, Prefect, Kubeflow)
  • Infrastructure as Code experience (Terraform, Pulumi, CloudFormation)
  • Experience with model optimization, inference acceleration, or edge deployment
  • Experience building tracking algorithms for device localization using techniques like SLAM
  • Strong problem-solving skills and attention to reproducibility
  • Comfortable working in a remote, collaborative environment, with international team members
  • Clear communicator who can bridge research and production engineering
  • Experience with image rendering pipelines in CryEngine.
  • Passion for building scalable AI infrastructure

Why Join OptiTrack?
  • Work on cutting-edge motion tracking systems
  • Contribute to technology used across robotics, animation, virtual reality, biomechanics, and virtual production
  • Remote-first flexibility
  • Opportunity to shape the next-generation of motion capture technology

Benefits
All benefits start on first day of employment!
  • 75% employer-paid medical for employee. Family coverage also included.
  • 100% employer paid dental, and vision for employee and dependents
  • 100% employer paid long-term, short-term disability, and life insurance policy
  • 401k Match, if you're contributing 5% we match 4%. 100% vested immediately.
  • 10 paid holidays
  • Starting at 15 days paid PTO (inclusive of sick and vacation time) annually
  • Employee Assistance Program (EAP)
  • Flexible Spending Account (FSA)

EEOC Statement:
OptiTrack is an equal opportunity employer, we believe in fostering a culture of equality, diversity, and inclusivity. Our commitment to this goal is clearly expressed in our zero-tolerance policy for discrimination and harassment of any kind, including on the basis of race, color, sex, age, religion, sexual orientation, national origin, disability, genetic information, pregnancy, protected veteran status or any other characteristic protected by applicable federal, state, or local laws. Our hiring practices ensure that decisions are based solely on qualifications, merit, and current business needs, while extending to all aspects of our operations - from recruitment and promotion to layoff and recall, to leave of absence, compensation, benefits, and training. We are committed to remaining a drug free workplace

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