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Remote Machine Learning Jobs in Saint Marys, GA (NOW HIRING)

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Remote Machine Learning information

See Saint Marys, GA salary details

$23.9K

$39.9K

$82.5K

How much do remote machine learning jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote machine learning in Saint Marys, GA is $39,920.00, according to ZipRecruiter salary data. Most workers in this role earn between $30,500.00 and $43,100.00 per year, depending on experience, location, and employer.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

What are some effective strategies for collaborating with team members while working remotely as a machine learning engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

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

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs

What are popular job titles related to Remote Machine Learning jobs in Saint Marys, GA?

For Remote Machine Learning jobs in Saint Marys, GA, the most frequently searched job titles are:

What cities near Saint Marys, GA are hiring for Remote Machine Learning jobs?

Cities near Saint Marys, GA with the most Remote Machine Learning job openings:

Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Saint Marys, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $39,920 per year, or $19.2 per hour.

Senior Software Engineer, Platform & Developer Experience

Jacksonville, FL • Remote

Worth AI
See more jobs at Worth AIexternal

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 27 days ago

Job description

Worth AI, a leader in the computer software industry, is looking for a Senior Engineer to join our Platform team with a singular mission: to make our engineering organization faster, more reliable, and more joyful. In this role, you won't just be building features for end-users; you will be building the "Product for the Engineers." You will act as a force multiplier by identifying friction in the development lifecycle, architecting shared patterns, and unblocking technical debt that slows the team down. You are part architect, part investigator, and part educator.

Responsibilities
    • Conduct regular interviews with engineering teams to find pain points in their daily workflows and prioritize the creation of tools or architectural changes to eliminate them.
    • Design and implement reusable patterns using Nest.js, React.js, and TypeScript that enable other engineers to ship high-quality, performant services and interfaces by default.
    • Take ownership of systemic performance issues, such as optimizing slow PostgreSQL queries or refining Kafka producer/consumer patterns to ensure reliable message delivery.
    • Own and evolve our Kubernetes and ArgoCD configurations to ensure seamless, automated, and safe deployments across the organization.
    • Lead nebulous, cross-team technical challenges such as re-architecting shared libraries or evolving our service-to-service communication and drive them to a concrete resolution.
    • Identify "sticky" or overly complex codebases and lead the effort to refactor them into maintainable, testable, and modern modules.
    • Actively mentor and coach engineers across the organization, helping them level up their technical skills and understanding of our core architecture.
    • Research, prototype, and roll out new internal tools, libraries, or frameworks that improve CI/CD, local development, or system observability.
    • Introduce new frameworks or architectural shifts to the team and provide the documentation, workshops, and 1:1 support needed for successful adoption.
    • Lead by example in code reviews, coaching others on maintainable design, testing strategies, and system-level risk mitigation.
    • Communicate complex technical trade-offs effectively across functions, using empathy and self-awareness to handle conflict and align differing perspectives.

Technology Stack

    • Languages & Runtimes: Node.js, TypeScript
    • Frameworks: Nest.js, React.js
    • Data & Messaging: PostgreSQL, Kafka, Redis, Redshift
    • Infrastructure & Orchestration: Kubernetes, ArgoCD
    • Monitoring: DataDog

Requirements

    • 8+ years of experience in software engineering with a proven track record of leading teams and providing technical direction.
    • Deep passion for mentorship with a history of developing the technical careers of associate and intermediate engineers.
    • Prior experience specifically within Platform, Infrastructure, or Developer Experience (DevEx) teams.
    • Deep professional expertise in the Node.js/TypeScript ecosystem, including experience scaling Nest.js backends and React.js frontends.
    • Hands-on experience managing containerized workloads using Kubernetes and ArgoCD.
    • Strong proficiency in PostgreSQL (query optimization and schema design) and Kafka (event-driven architecture).
    • Proven ability to "unroll" complex legacy code and replace it with scalable, maintainable architecture.
    • Experience navigating high-ambiguity environments and translating vague technical frustrations into prioritized roadmaps.
    • Demonstrated ability to build psychological safety and trust within a team while raising the engineering quality bar.
Success Metrics
  • DORA Metrics Improvement: Drive measurable improvements in Deployment Frequency, Lead Time for Changes, Change Failure Rate, and Mean Time to Recovery (MTTR).
  • System Latency: Successfully optimize core services to meet strict P90 and P99 latency targets, specifically targeting slow endpoints and database bottlenecks.
  • Developer Velocity: Engineers ship code faster and more confidently due to the shared components, patterns, and tools you’ve built.
  • Knowledge Distribution: The broader engineering team demonstrates increased proficiency in our core stack (Nest.js, React, Kafka) through your mentorship.
Bonus Points (nice to haves, not requirements)
  • Proven expertise with AWS services including MSK, RDS, EKS, S3, and Lambda.
  • Strong background in Redshift, encompassing schema design, ETL pipeline management, and query optimization.
  • Practical experience using Infrastructure-as-Code (IaC) tools like Terraform for managing large-scale cloud environments.
  • Hands-on experience with Redis and implementing distributed system caching strategies to resolve bottlenecks in high-throughput applications.
  • Proficient in Python, including libraries like Celery and SQLAlchemy.
  • Familiarity with serverless computing approaches.

** All Remote Hires - will be required to travel to Orlando, Florida at least twice per year for Town Halls and team collaboration in addition to orientation in Orlando, Florida.

Benefits

  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance
  • Flexible Vacation
  • Work From Home
  • Free Food & Snacks (in office)
  • Orlando, Florida (Hybrid)
  • Wellness Resources