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Director Aws Machine Learning Jobs in Commerce, GA

... 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 ...

Our paid welding trainee program offers a unique learning experience for highly motivated ... Operate robotic and manual MIG weld machines * Perform quality checks using weld gauges and other ...

Machinist 1

Commerce, GA · On-site

$20.25 - $27.50/hr

Gauge and maintain quality parts throughout machining process. * Maintain quality standards for ... Technical Learning Supervisory Responsibility This position has no direct supervisory ...

Machinist 1

Commerce, GA · On-site

$20.25 - $27.50/hr

Gauge and maintain quality parts throughout machining process. * Maintain quality standards for ... Technical Learning Supervisory Responsibility This position has no direct supervisory ...

Machinist 1

Commerce, GA

$20.25 - $27.50/hr

Gauge and maintain quality parts throughout machining process. * Maintain quality standards for ... Technical Learning Supervisory Responsibility This position has no direct supervisory ...

Machinist 1

Commerce, GA · On-site

$20.25 - $27.50/hr

Gauge and maintain quality parts throughout machining process. * Maintain quality standards for ... Technical Learning Supervisory Responsibility This position has no direct supervisory ...

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Director Aws Machine Learning information

See Commerce, GA salary details

$33.4K

$85.2K

$130.7K

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

As of Aug 11, 2026, the average yearly pay for director aws machine learning in Commerce, GA is $85,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,300.00 and $98,300.00 per year, depending on experience, location, and employer.

How much does a director of AWS machine learning make?

A director of AWS machine learning typically earns between $150,000 and $250,000 annually, depending on experience, location, and company size. They often have advanced skills in cloud services, machine learning frameworks, and leadership, which influence compensation levels.
What cities near Commerce, GA are hiring for Director Aws Machine Learning jobs? Cities near Commerce, GA with the most Director Aws Machine Learning job openings:
Infographic showing various Director Aws Machine Learning job openings in Commerce, GA as of August 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $85,228 per year, or $41 per hour.

Machine Learning Engineer

Bespoke Labs

Athens, GA • On-site

Full-time

Re-posted 25 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 — 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