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Internship Aws Machine Learning Jobs in Macon, GA

Bespoke Labs

Machine Learning Engineer

Macon, GA · On-site

... deep learning proficiency (PyTorch preferred; familiar with training loops, optimizers, mixed ... HPC (AWS, GCP, SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets ...

SOSi

Data Scientist Expert

Gordon, GA · On-site

The role involves applying advanced statistical, computational, and machine learning techniques to ... Certification in AWS (AI/ML specialty). * Knowledge of the National System for Geospatial ...

Mercer University

Software Engineer

Warner Robins, GA · On-site

... machine learning, and/or artificial intelligence-based software solutions Communicates with ... Experience with Oracle/SQL Server Knowledge of Docker and/or Kubernetes Experience with AWS, Google ...

Mercer University

Software Engineer

Warner Robins, GA · On-site

... machine learning, and/or artificial intelligence-based software solutions • Communicates with ... AWS, Google Cloud or Azure • Excellent communication skills to work with cross functional teams ...

Mercer University

Software Engineer

Warner Robins, GA · On-site

... machine learning, and/or artificial intelligence-based software solutions • Communicates with ... AWS, Google Cloud or Azure • Excellent communication skills to work with cross functional teams ...

Mercer University

Software Engineer

Warner Robins, GA · On-site

... machine learning, and/or artificial intelligence-based software solutions Communicates with ... Experience with Oracle/SQL Server Knowledge of Docker and/or Kubernetes Experience with AWS, Google ...

Merc Mercer

Software Engineer

Warner Robins, GA · On-site

$70 - $90/hr

... machine learning, and/or artificial intelligence-based software solutions • Communicates with ... AWS, Google Cloud or Azure • Excellent communication skills to work with cross functional teams ...

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Internship Aws Machine Learning information

See Macon, GA salary details

$24.5K

$40.8K

$84.4K

How much do internship aws machine learning jobs pay per year?

As of Aug 19, 2026, the average yearly pay for internship aws machine learning in Macon, GA is $40,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,200.00 and $44,100.00 per year, depending on experience, location, and employer.

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Internship Aws Machine Learning jobs near you
Infographic showing various Internship Aws Machine Learning job openings in Macon, 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 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $40,841 per year, or $19.6 per hour.

Machine Learning Engineer

Bespoke Labs

Macon, GA • On-site

Full-time

This job post has expired today. Applications are no longer accepted.

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 — 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 — 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 — SFT, RLHF, PPO, DPO, or reward model training — 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 — held-out sets, benchmark design, avoiding train/eval contamination

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