Machine Learning Engineer
Chattanooga, TN · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Chattanooga, TN · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Chattanooga, TN · 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
... 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
Memphis, TN · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Memphis, TN · 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
... 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
Jackson, TN · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Jackson, TN · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Nashville, TN · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Nashville, TN · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Knoxville, TN · On-site
... SLURM, or Ray) Solid understanding of evaluation methodology -- held-out sets, benchmark design, avoiding train/eval contamination
Knoxville, TN · 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
Oak Ridge, TN · On-site
$99K - $119K/yr
Experience working in a HPC environment (SLURM, pbs) * Experience in Vue.js, FastAPI, and other frontend development tools * Virtualization and container infrastructure experience (VMWare)
Oak Ridge, TN · On-site
$99K - $119K/yr
Experience working in a HPC environment (SLURM, pbs) * Experience in Vue.js, FastAPI, and other frontend development tools * Virtualization and container infrastructure experience (VMWare)
$109K - $131K/yr
Experience working in a HPC environment (SLURM, pbs) * Experience in Vue.js, FastAPI, and other frontend development tools * Virtualization and container infrastructure experience (VMWare)
$109K - $131K/yr
Experience working in a HPC environment (SLURM, pbs) * Experience in Vue.js, FastAPI, and other frontend development tools * Virtualization and container infrastructure experience (VMWare)
Understanding of HPC platforms to support users with SLURM job submissions and troubleshooting. * Experience building and running containerized applications in an HPC environment. * Experience with ...
Quick apply
Understanding of HPC platforms to support users with SLURM job submissions and troubleshooting. * Experience building and running containerized applications in an HPC environment. * Experience with ...
... g. slurm or other workload managers). • Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment ...
... g. slurm or other workload managers). • Applicants must be legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment ...
Preferred : • Experience administering HPC clusters or large-scale Linux computing environments. • Familiarity with batch schedulers (e.g., SLURM, PBS, LSF) and parallel file systems (Lustre ...
Preferred : • Experience administering HPC clusters or large-scale Linux computing environments. • Familiarity with batch schedulers (e.g., SLURM, PBS, LSF) and parallel file systems (Lustre ...
Oak Ridge, TN · On-site
$90 - $120/hr
Experience with SLURM, PBS, Moab, etc. * Linux administration and scripting (Bash, Python, Ansible). * Performance tuning and benchmarking tools (e.g., Ganglia, Grafana). * Parallel programming ...
Oak Ridge, TN · On-site
$90 - $120/hr
Experience with SLURM, PBS, Moab, etc. * Linux administration and scripting (Bash, Python, Ansible). * Performance tuning and benchmarking tools (e.g., Ganglia, Grafana). * Parallel programming ...
Preferred : • Demonstrated experience leading the design and deployment of HPC or large-scale distributed computing systems. • Expertise with batch schedulers (SLURM, PBS, LSF) and parallel file ...
Preferred : • Demonstrated experience leading the design and deployment of HPC or large-scale distributed computing systems. • Expertise with batch schedulers (SLURM, PBS, LSF) and parallel file ...
Understanding of HPC platforms to support users with SLURM job submissions and troubleshooting. * Experience building and running containerized applications in an HPC environment. * Experience with ...
Quick apply
Understanding of HPC platforms to support users with SLURM job submissions and troubleshooting. * Experience building and running containerized applications in an HPC environment. * Experience with ...

Full-time
Re-posted 22 days ago
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