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Junior Full Stack Machine Learning Engineer Jobs in Georgia

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Staff Machine Learning Engineer

Atlanta, GA ยท On-site +1

$220K - $280K/yr

As a Staff Machine Learning Engineer, you will lead the technical charge to scale and productionize ... Deep experience managing the full ML lifecycle (training, deploying, monitoring) using tools like ...

Senior Machine Learning Engineer (Nova)

Atlanta, GA ยท On-site

$100K - $138K/yr

We are looking for a Senior Machine Learning Engineer to build the core Machine Learning ... Prototype applied ML solutions to validate feasibility before investing in full builds. * Ensure ...

Senior Machine Learning Engineer

Atlanta, GA ยท On-site

$100K - $138K/yr

Senior Machine Learning Engineer Team: Data & Audience Platform (DAP) - ML Engineering What We Do ... Our Technology Stack Primary platform: Databricks (Lakehouse, PySpark, Delta, Workflows/DLT, MLflow ...

New

\n \n \n \n \n The successful Senior Full Stack Developer will assume ownership for a diversity of greenfield projects and mentor junior developers. \n \n \n \n \n \n This role will involve adding new ...

Full Stack Developer

Atlanta, GA ยท Remote

$90K - $100K/yr

Project Expedition is on the hunt for a passionate Full Stack Developer who thrives on solving complex problems, loves learning, and wants to make an impact in the travel and tech world. What You'll ...

Full Stack Developer

Atlanta, GA ยท Remote

$90K - $100K/yr

Project Expedition is on the hunt for a passionate Full Stack Developer who thrives on solving complex problems, loves learning, and wants to make an impact in the travel and tech world. What You'll ...

Full Stack Java Developer

Alpharetta, GA ยท On-site

$51.25 - $66.25/hr

Equifax is looking for a full stack Cloud Engineer - Mortgage and Housing platform, who is ... Mentoring junior members of the team. * Diagnose and resolve performance issues. * Participates in ...

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Junior Full Stack Machine Learning Engineer information

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 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 job categories do people searching Junior Full Stack Machine Learning Engineer jobs in Georgia look for? The top searched job categories for Junior Full Stack Machine Learning Engineer jobs in Georgia are:
What cities in Georgia are hiring for Junior Full Stack Machine Learning Engineer jobs? Cities in Georgia with the most Junior Full Stack Machine Learning Engineer job openings:

Machine Learning Engineer

Bespoke Labs

Augusta, GA โ€ข On-site

Full-time

Posted 24 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments โ€” and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of ML engineering experience โ€” model training, fine-tuning, or post-training pipelines in research or production

Strong Python and deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed precision)

Hands-on experience with LLM post-training โ€” SFT, RLHF, PPO, DPO, or reward model training โ€” and understanding of how training data quality affects model behavior

Familiarity with RL frameworks (Gymnasium, dm_env) and the ability to design or modify reward functions for agent training objectives

Experience running experiments at scale on cloud or HPC (AWS, GCP, SLURM, or Ray)

Solid understanding of evaluation methodology โ€” held-out sets, benchmark design, avoiding train/eval contamination