LLM Research Engineer
$90 - $121.86/hr
Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback). Compensation: $90 - $121.86 per hour ID#: 36408719
Quick apply
LLM Research Engineer
$90 - $121.86/hr
Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback). Compensation: $90 - $121.86 per hour ID#: 36408719
... reinforcement learning from human feedback (RLHF) and fine-tuning. • Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best ...
... reinforcement learning from human feedback (RLHF) and fine-tuning. • Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best ...
Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF ... Collaborate with cross-functional teams to integrate alignment improvements into our production ...
Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF ... Collaborate with cross-functional teams to integrate alignment improvements into our production ...
Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF ... Collaborate with cross-functional teams to integrate alignment improvements into our production ...
Quick apply
Design and implement supervised fine-tuning and reinforcement learning from human feedback (RLHF ... Collaborate with cross-functional teams to integrate alignment improvements into our production ...
Machine Learning Engineer
Sunnyvale, CA · On-site
... Reinforcement Learning with Human Feedback (RLHF). • Excellent data analysis skills. Company : Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research ...
Machine Learning Engineer
Sunnyvale, CA · On-site
... Reinforcement Learning with Human Feedback (RLHF). • Excellent data analysis skills. Company : Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research ...
Machine Learning Engineer
Sunnyvale, CA · On-site
... Reinforcement Learning with Human Feedback (RLHF). • Excellent data analysis skills. Company : Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research ...
Machine Learning Engineer
Sunnyvale, CA · On-site
... Reinforcement Learning with Human Feedback (RLHF). • Excellent data analysis skills. Company : Official account of Mohamed bin Zayed University of Artificial Intelligence. Dedicated to research ...
Figure is an AI Robotics company focused on developing autonomous humanoid robots with human-level intelligence. They are seeking a Reinforcement Learning Engineer to develop, train, deploy, and ...
Figure is an AI Robotics company focused on developing autonomous humanoid robots with human-level intelligence. They are seeking a Reinforcement Learning Engineer to develop, train, deploy, and ...
Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF). * Excellent data analysis skills. Visa Sponsorship This position ...
Quick apply
Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF). * Excellent data analysis skills. Visa Sponsorship This position ...
Outerport is seeking a Member of Technical Staff with expertise in reinforcement learning. The role involves training reinforcement learning-based LLMs for applications in materials science and ...
Outerport is seeking a Member of Technical Staff with expertise in reinforcement learning. The role involves training reinforcement learning-based LLMs for applications in materials science and ...
Figure is an AI Robotics company focused on developing autonomous general-purpose humanoid robots with human-level intelligence. They are seeking a Staff Reinforcement Learning Engineer to develop ...
Figure is an AI Robotics company focused on developing autonomous general-purpose humanoid robots with human-level intelligence. They are seeking a Staff Reinforcement Learning Engineer to develop ...
You'll design and implement advanced methods to align human feedback with the training of cutting-edge AI models, including techniques like Reinforcement Learning from Human Feedback (RLHF) , Direct ...
Quick apply
You'll design and implement advanced methods to align human feedback with the training of cutting-edge AI models, including techniques like Reinforcement Learning from Human Feedback (RLHF) , Direct ...
Reinforcement Learning Engineer - Whole Body Control
San Jose, CA · On-site
$150K/yr
The goal of the company is to ship humanoid robots with human level intelligence. Its robots are ... We are looking for a Reinforcement Learning Engineer to develop, train, deploy, and evaluate ...
Reinforcement Learning Engineer - Whole Body Control
San Jose, CA · On-site
$150K/yr
The goal of the company is to ship humanoid robots with human level intelligence. Its robots are ... We are looking for a Reinforcement Learning Engineer to develop, train, deploy, and evaluate ...
Reinforcement Learning Engineer - Whole Body Control
San Jose, CA · Hybrid
$150K/yr
The goal of the company is to ship humanoid robots with human level intelligence. Its robots are ... We are looking for a Reinforcement Learning Engineer to develop, train, deploy, and evaluate ...
Reinforcement Learning Engineer - Whole Body Control
San Jose, CA · Hybrid
$150K/yr
The goal of the company is to ship humanoid robots with human level intelligence. Its robots are ... We are looking for a Reinforcement Learning Engineer to develop, train, deploy, and evaluate ...
... feedback, and experience, focusing on reinforcement learning across simulation and real-world ... Experience with reward modeling or human-in-the-loop learning • Experience at leading AI labs ...
... feedback, and experience, focusing on reinforcement learning across simulation and real-world ... Experience with reward modeling or human-in-the-loop learning • Experience at leading AI labs ...
Research Engineer, AI Safety & Alignment
Redwood City, CA · On-site
$225K - $400K/yr
... like reinforcement learning from human feedback (RLHF) and fine-tuning. * Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best ...
Research Engineer, AI Safety & Alignment
Redwood City, CA · On-site
$225K - $400K/yr
... like reinforcement learning from human feedback (RLHF) and fine-tuning. * Collaborate with engineering and product teams to translate safety research into practical, scalable solutions and best ...
... feedback, and experience, focusing on reinforcement learning across simulation and real-world ... Experience with reward modeling or human-in-the-loop learning • Experience at leading AI labs ...
... feedback, and experience, focusing on reinforcement learning across simulation and real-world ... Experience with reward modeling or human-in-the-loop learning • Experience at leading AI labs ...
... feedback, and experience. Responsibilities : • Design and implement reinforcement learning ... Experience with reward modeling or human-in-the-loop learning • Experience at leading AI labs ...
... feedback, and experience. Responsibilities : • Design and implement reinforcement learning ... Experience with reward modeling or human-in-the-loop learning • Experience at leading AI labs ...
Helix AI Engineer, Reinforcement Learning
San Jose, CA · On-site
$200K - $400K/yr
Train policies that learn from interaction, feedback, and large-scale experience across diverse ... Experience with reward modeling or human-in-the-loop learning * Experience at leading AI labs such ...
Helix AI Engineer, Reinforcement Learning
San Jose, CA · On-site
$200K - $400K/yr
Train policies that learn from interaction, feedback, and large-scale experience across diverse ... Experience with reward modeling or human-in-the-loop learning * Experience at leading AI labs such ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF). * Excellent data analysis skills. $150,000 - $450,000 a year Visa ...
Machine Learning Engineer
Sunnyvale, CA · On-site
$150K - $450K/yr
Hands-on experience with LLM algorithms, such as Supervised Fine-Tuning (SFT) and Reinforcement Learning with Human Feedback (RLHF). * Excellent data analysis skills. $150,000 - $450,000 a year Visa ...
Helix AI Engineer, Reinforcement Learning
San Jose, CA · On-site
$200K - $400K/yr
Train policies that learn from interaction, feedback, and large-scale experience across diverse ... Experience with reward modeling or human-in-the-loop learning * Experience at leading AI labs such ...
Helix AI Engineer, Reinforcement Learning
San Jose, CA · On-site
$200K - $400K/yr
Train policies that learn from interaction, feedback, and large-scale experience across diverse ... Experience with reward modeling or human-in-the-loop learning * Experience at leading AI labs such ...
Reinforcement Learning With Human Feedback information
What is reinforcement learning with human feedback?
Reinforcement Learning with Human Feedback (RLHF) is a machine learning technique where AI agents are trained not only through automated reward signals but also by incorporating feedback from humans. This approach helps align the agent’s behavior with human preferences, values, or safety requirements by allowing humans to guide or correct the learning process. RLHF is commonly used in developing advanced AI systems, such as language models, to ensure their outputs are helpful, safe, and aligned with user expectations. The process often involves human evaluators ranking or scoring the AI's responses, which are then used to fine-tune the model’s behavior.
What collaborations are typical for a reinforcement learning with human feedback specialist within a machine learning team?
As an RLHF specialist, you often work closely with data scientists, machine learning engineers, and domain experts to design effective feedback mechanisms and reward models. Collaboration with annotation teams or subject matter experts is common, as high-quality human feedback is crucial for training robust RLHF models. You may also partner with product managers and UX researchers to ensure that the models align with user needs and ethical considerations. Regular cross-functional meetings and code reviews help maintain alignment and foster innovation across teams.
What are the key skills and qualifications needed to thrive as a reinforcement learning with human feedback engineer?
To excel as a Reinforcement Learning with Human Feedback (RLHF) Engineer, you need a strong background in machine learning, reinforcement learning theory, statistics, and typically an advanced degree in computer science or a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), RL libraries (like Ray RLlib), and experience with data collection and annotation systems are essential. Excellent problem-solving abilities, communication skills, and teamwork help you collaborate with researchers, data annotators, and other engineers. These skills enable you to design and implement RLHF systems that are robust, scalable, and aligned with human values.
What is the difference between Reinforcement Learning With Human Feedback vs Reinforcement Learning Engineer?
| Aspect | Reinforcement Learning With Human Feedback | Reinforcement Learning Engineer |
|---|---|---|
| Credentials | Typically requires knowledge of machine learning, AI, and data analysis | Requires similar credentials in machine learning, programming, and AI |
| Work Environment | Research labs, AI development teams, tech companies | Development teams, research labs, tech firms |
| Industry Usage | Used in AI training, human-in-the-loop systems, and model refinement | Designing, implementing, and optimizing reinforcement learning algorithms |
Reinforcement Learning With Human Feedback focuses on improving AI models through human input, while Reinforcement Learning Engineers develop and deploy these algorithms. Both roles require strong machine learning skills and often work in similar environments, but their core responsibilities differ in application and focus.
What are popular job titles related to Reinforcement Learning With Human Feedback jobs in California?
For Reinforcement Learning With Human Feedback jobs in California, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning With Human Feedback jobs in California look for?
The top searched job categories for Reinforcement Learning With Human Feedback jobs in California are:
What cities in California are hiring for Reinforcement Learning With Human Feedback jobs?
Cities in California with the most Reinforcement Learning With Human Feedback job openings:
Job description
LLM Research Engineer
Key Responsibilities:
- Design, train, and fine-tune large language models (e.g., GPT, LLaMA, PaLM) for various applications.
- Conduct research on cutting-edge techniques in natural language processing (NLP) and machine learning to improve model performance.
- Explore advancements in transformer architectures, multi-modal models, and emergent AI behaviors.
- Collect, clean, and preprocess large-scale text datasets from diverse sources.
- Develop and implement data augmentation techniques to improve training data quality.
- Ensure data is free from bias and aligned with ethical AI standards.
- Optimize model architecture to improve accuracy, efficiency, and scalability.
- Implement techniques to reduce latency, memory footprint, and inference time for real-time applications.
- Collaborate with MLOps teams to deploy LLMs into production environments using Docker, Kubernetes, and cloud
- Develop robust evaluation pipelines to measure model performance using key metrics like accuracy, perplexity, BLEU, and F1 score.
- Continuously test for bias, fairness, and robustness of language models across diverse datasets.
- Conduct A/B testing to evaluate model improvements in real-world applications.
Stay updated with the latest advancements in generative AI, transformers, and NLP research. - Contribute to research papers, patents, and open-source projects.
- Present findings and insights at conferences and internal knowledge-sharing sessions.
Qualifications:
- 7-10 years experience
- Advanced degree in CS, Artificial Intelligence, Data Science, or a related field.
- Strong programming skills.
- Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or JAX.
- Hands-on experience with transformer-based models (e.g., GPT, BERT, RoBERTa, LLaMA).
- Expertise in natural language processing (NLP) and sequence-to-sequence models.
- Familiarity with Hugging Face libraries and OpenAI APIs.
- Experience with MLOps tools like Docker, Kubernetes, and CI/CD pipelines.
- Strong understanding of distributed computing and GPU acceleration using CUDA.
- Knowledge of reinforcement learning and RLHF (Reinforcement Learning with Human Feedback).
Compensation: $90 - $121.86 per hour
ID#: 36408719
About Cypress HCM
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We deliver consistently superior recruiting by virtue of trusting, communicative relationships with companies and candidates alike. From Fortune 100s to startups, clients lean on us to fulfill their range of needs from contract to full-time positions. With an intimate knowledge of the industries we serve, a keen sense of what makes for high-performing talent in any role, and shared sense of urgency, our clients will tell you: your solution begins here.
Industry
Recruiting and staffing services
Company size
51 - 200 Employees
Headquarters location
Walnut Creek, CA, US
Year founded
2005