SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Rockville, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Rockville, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Rockville, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Rockville, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Towson, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Towson, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Annandale, VA · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Annandale, VA · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Gaithersburg, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Gaithersburg, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Gaithersburg, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Gaithersburg, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Bowie, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Bowie, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Largo, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Largo, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Baltimore, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Baltimore, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Towson, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Towson, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Adelphi, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Adelphi, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Baltimore, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Baltimore, MD · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Annandale, VA · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
Machine Learning Engineer
Annandale, VA · On-site
SFT, RLHF, PPO, DPO, and reward model training in PyTorch * Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment ...
AI Development Lead
Mclean, VA · On-site
Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.
AI Development Lead
Mclean, VA · On-site
Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.
AI Development Lead
Mclean, VA · On-site
Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.
AI Development Lead
Mclean, VA · On-site
Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.
Senior Software Engineer, Identity
Washington, DC · On-site
$216 - $270/hr
To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations.
Senior Software Engineer, Identity
Washington, DC · On-site
$216 - $270/hr
To make them safe, aligned and actually useful, these models need human eval and reinforcement learning through human feedback (RLHF) during pre-training, fine-tuning, and production evaluations.
AI Development Lead
Mclean, VA · On-site
Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.
Quick apply
AI Development Lead
Mclean, VA · On-site
Research & Innovation Impact Stay ahead of industry advancements in generative AI, foundational model tech, self-supervised learning, optimization techniques, RLHF, and robustness/interpretability.
Rlhf information
What is an RLHF job?
An RLHF (Reinforcement Learning with Human Feedback) job involves training AI models using human feedback to improve their responses. Professionals in this role analyze model outputs, provide evaluations, and refine AI behavior through reinforcement learning techniques. These roles are common in AI research, content moderation, and chatbot development.
What are the key skills and qualifications needed to thrive as a Reinforcement Learning from Human Feedback (RLHF) engineer, and why are they important?
What are some common challenges faced by professionals working in Reinforcement Learning from Human Feedback (RLHF) roles?
What is the difference between Rlhf vs Rn?
| Aspect | Rlhf | Rn |
|---|---|---|
| Required Credentials | Licensed healthcare professional, often with specialized training in mental health or behavioral health | Licensed practical nurse or registered nurse, with nursing licensure and possibly additional certifications |
| Work Environment | Behavioral health facilities, clinics, hospitals, or community health settings | Hospitals, clinics, long-term care facilities, and community health settings |
| Employer & Industry Usage | Behavioral health and mental health services | General healthcare and nursing services |
| Common Search & Comparison | Rlhf vs Rn | Rlhf vs Rn |
While Rlhf (Registered Licensed Mental Health Facilitator) focuses on mental health support and behavioral health interventions, Rn (Registered Nurse) provides broader nursing care across various medical settings. Both roles require licensure, but Rlhf specializes in mental health, whereas Rn covers general patient care.
What are popular job titles related to Rlhf jobs in Silver Spring, MD?
For Rlhf jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Rlhf jobs in Silver Spring, MD look for?
The top searched job categories for Rlhf jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Rlhf jobs?
Cities near Silver Spring, MD with the most Rlhf job openings:

Full-time
Re-posted 18 days ago
Job description
-
Own model training and post-training pipelines end to end: SFT, RLHF, PPO, DPO, and reward model training in PyTorch
-
Build and maintain the infrastructure around RL training: rollout collection, data curation, reward model serving, and experiment orchestration
-
Run and scale training experiments on cloud or HPC (AWS, GCP, SLURM, Ray), and debug throughput, stability, and convergence issues
-
Build evaluation harnesses and benchmark infrastructure, with held-out sets and contamination controls, so results are trustworthy
-
Read eval signal and training curves to determine whether a change actually helped, and feed findings back to the research and environment teams
-
Integrate RL environments into the training stack, working with environment authors on interfaces, reward plumbing, and agent loop mechanics
-
Implement methods from recent ML papers quickly and turn them into production-grade systems