... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Valdosta, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Valdosta, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Columbus, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Columbus, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Savannah, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Savannah, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Lawrenceville, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Lawrenceville, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Athens, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Athens, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Kennesaw, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Kennesaw, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Carrollton, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Carrollton, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Augusta, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Augusta, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Atlanta, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Atlanta, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Macon, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Machine Learning Engineer
Macon, GA · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Slurm information
What is a Slurm job?
A Slurm job refers to a task or set of tasks submitted to a Slurm workload manager, which schedules and manages compute jobs on high-performance computing clusters. Users submit jobs with specific resource requirements, and Slurm handles their execution, monitoring, and scheduling. Knowledge of command-line tools and job scripts is essential for managing Slurm jobs effectively.
What are popular job titles related to Slurm jobs in Georgia? For Slurm jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Slurm jobs in Georgia look for? The top searched job categories for Slurm jobs in Georgia are:
Full-time
Re-posted 18 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