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Junior Full Stack Machine Learning Engineer Jobs in McIntyre, GA

Bespoke Labs

Machine Learning Engineer

Macon, GA · On-site

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Bespoke Labs

Machine Learning Engineer

Macon, GA

Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics * Implement methods from recent ML papers quickly and turn ...

Baker Donelson

Full Stack .NET Developer

Macon, GA · On-site

We are seeking a highly skilled and experienced Full Stack .NET Developer to join our dynamic team. The ideal candidate will be a creative innovator with strong communication skills and a dedication ...

Amentum

Full Stack Developer

Gordon, GA · On-site

$215K - $238K/yr

Software developers will work within an existing CI/CD pipeline, performing back-end, UI, and/or full-stack development to create capabilities that perform geolocation data processing at scale. Work ...

Amentum

Full Stack Java Developer

Gordon, GA · On-site

$179K - $198K/yr

... full stack development. You will work across teams to integrate capabilities into various platforms including containers. Using agile scrum and DevOps methodologies, you'll gain experience with the ...

Altamira Technologies Corp.

Senior Data Engineer

Gordon, GA · On-site

$99K - $135K/yr

The Data Engineer should be versed in statistics, predictive modeling, machine learning, computational simulation, geospatial modeling, network science, or other analytic techniques. This individual ...

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All JobsFull Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer JobsJunior Full Stack Machine Learning Engineer Jobs in McIntyre, GA

Junior Full Stack Machine Learning Engineer information

See McIntyre, GA salary details

$41.9K

$85.2K

$128K

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

As of Sep 13, 2026, the average yearly pay for junior full stack machine learning engineer in McIntyre, GA is $85,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $86,100.00 per year, depending on experience, location, and employer.

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

AspectJunior Full Stack Machine Learning EngineerJunior Data Scientist
Required CredentialsBachelor's in CS, Data Science, or related; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related; strong analytical skills
Work EnvironmentDevelops end-to-end ML applications, works on both backend and frontendAnalyzes data, builds models, and visualizes insights, mainly in data analysis tools
Employer & Industry UsageTech companies, startups, AI-focused firmsResearch institutions, tech companies, finance, healthcare

While both roles involve working with data and machine learning, the Junior Full Stack Machine Learning Engineer focuses on building complete applications with ML components, including frontend and backend development. The Junior Data Scientist primarily analyzes data, creates models, and provides insights without necessarily developing full applications.

What cities near McIntyre, GA are hiring for Junior Full Stack Machine Learning Engineer jobs?

Cities near McIntyre, GA with the most Junior Full Stack Machine Learning Engineer job openings:

Junior Full Stack Machine Learning Engineer jobs near you
Infographic showing various Junior Full Stack Machine Learning Engineer job openings in McIntyre, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 23% Part Time, and 1% Contract. Highlights an 83% Physical, 3% Hybrid, and 14% Remote job distribution, with an average salary of $85,218 per year, or $41 per hour.

Machine Learning Engineer

Macon, GA • On-site

Bespoke Labs
See more jobs at Bespoke Labsexternal

Full-time

Re-posted 27 days ago

Job description

  • Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch

  • Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration

  • Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues

  • Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy

  • Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams

  • Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics

  • Implement methods from recent ML papers quickly and turn them into production-grade systems

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