Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability. * Collaborate with cross-functional teams to integrate PPO models into production ...
Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability. * Collaborate with cross-functional teams to integrate PPO models into production ...
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Murfreesboro, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Murfreesboro, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Nashville, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Nashville, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Jackson, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Jackson, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Knoxville, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Knoxville, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Murfreesboro, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Murfreesboro, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Chattanooga, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Chattanooga, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Nashville, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Nashville, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Memphis, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Memphis, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Chattanooga, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Chattanooga, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Knoxville, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Knoxville, TN · Remote
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Jackson, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Jackson, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Memphis, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Applied Research Intern, Proactive Intelligence & Customer World Models (PhD / Graduate Co-op)
Memphis, TN · On-site
Reinforcement learning from customer and product feedback * Reward modeling and preference learning ... Experience with reinforcement learning, reward modeling, or sequential decision-making.
New
Lead Data Engineer - NBA
$99K - $130K/yr
Experience supporting machine learning, reinforcement learning, recommendation engines, or decision intelligence platforms. Experience with Kafka, event streaming architectures, and real-time feature ...
Lead Data Engineer - NBA
$99K - $130K/yr
Experience supporting machine learning, reinforcement learning, recommendation engines, or decision intelligence platforms. Experience with Kafka, event streaming architectures, and real-time feature ...
Lead Data Engineer - NBA
Nashville, TN · On-site
$99K - $130K/yr
Experience supporting machine learning, reinforcement learning, recommendation engines, or decision intelligence platforms. Experience with Kafka, event streaming architectures, and real-time feature ...
Lead Data Engineer - NBA
Nashville, TN · On-site
$99K - $130K/yr
Experience supporting machine learning, reinforcement learning, recommendation engines, or decision intelligence platforms. Experience with Kafka, event streaming architectures, and real-time feature ...
Lead Data Engineer - NBA
Nashville, TN · On-site
$99K - $130K/yr
Experience supporting machine learning, reinforcement learning, recommendation engines, or decision intelligence platforms. Experience with Kafka, event streaming architectures, and real-time feature ...
Lead Data Engineer - NBA
Nashville, TN · On-site
$99K - $130K/yr
Experience supporting machine learning, reinforcement learning, recommendation engines, or decision intelligence platforms. Experience with Kafka, event streaming architectures, and real-time feature ...
Lead Data Engineer - NBA
Nashville, TN · On-site
$99K - $130K/yr
Preferred Qualifications • Deep experience with Databricks Feature Store, Delta Live Tables, Unity Catalog, and Databricks Workflows. • Experience supporting machine learning, reinforcement ...
Lead Data Engineer - NBA
Nashville, TN · On-site
$99K - $130K/yr
Preferred Qualifications • Deep experience with Databricks Feature Store, Delta Live Tables, Unity Catalog, and Databricks Workflows. • Experience supporting machine learning, reinforcement ...
Senior Data Engineer - NBA
Nashville, TN · On-site
$110K - $132K/yr
... learning, reinforcement learning, and AI workloads. This is a hands-on engineering role focused on delivering reliable, well-governed, and high-quality data products while partnering closely with ...
Senior Data Engineer - NBA
Nashville, TN · On-site
$110K - $132K/yr
... learning, reinforcement learning, and AI workloads. This is a hands-on engineering role focused on delivering reliable, well-governed, and high-quality data products while partnering closely with ...
Senior Data Engineer - NBA
Nashville, TN · On-site +1
$110K - $132K/yr
Familiarity with machine learning, recommendation systems, reinforcement learning, or decision intelligence platforms. Experience with Azure Data Factory, Azure Data Lake Storage, Azure Event Hubs ...
Senior Data Engineer - NBA
Nashville, TN · On-site +1
$110K - $132K/yr
Familiarity with machine learning, recommendation systems, reinforcement learning, or decision intelligence platforms. Experience with Azure Data Factory, Azure Data Lake Storage, Azure Event Hubs ...
Senior Machine Learning Engineer
Nashville, TN · On-site
$100K - $138K/yr
Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble ... Experience working with real-world, imperfect datasets * Ability to explain model behavior ...
Quick apply
Senior Machine Learning Engineer
Nashville, TN · On-site
$100K - $138K/yr
Supervised, unsupervised, and reinforcement learning * Neural networks, decision trees, ensemble ... Experience working with real-world, imperfect datasets * Ability to explain model behavior ...
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 Tennessee?
For Reinforcement Learning With Human Feedback jobs in Tennessee, the most frequently searched job titles are:
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The top searched job categories for Reinforcement Learning With Human Feedback jobs in Tennessee are:
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Cities in Tennessee with the most Reinforcement Learning With Human Feedback job openings:
Contractor
Re-posted 27 days ago
Job description
About Us
Job Responsibilities
Qualifications
Preferred Qualifications
What We Offer
Statheros is a small DEFTECH firm focused on developing cutting-edge AI and autonomy systems for the US Department of Defense. Our team is passionate about building intelligent systems that solve complex problems. We are looking for a talented AI Engineer specializing in Proximal Policy Optimization (PPO) to lead the development of AI-enabled algorithms that automate the operation of air traffic radar systems.
Job Responsibilities
- Design, implement, and optimize Proximal Policy Optimization (PPO) algorithms for domain-specific use cases.
- Develop and train reinforcement learning models for real-world applications, focusing on efficiency and scalability.
- Collaborate with cross-functional teams to integrate PPO models into production systems.
- Analyze model performance and experiment with hyperparameter tuning to achieve optimal results.
- Stay up-to-date with the latest research and advancements in reinforcement learning and apply them to enhance existing solutions.
- Build robust pipelines for training, evaluation, and deployment of RL models.
- Document workflows, methodologies, and code for reproducibility and knowledge sharing.
Qualifications
- Educational Background: Bachelor's or Master's degree in Computer Science, Machine Learning, AI, Mathematics, or related fields. Ph.D. is a plus.
- Experience:
- 4+ years of professional experience in machine learning, with a focus on reinforcement learning.
- Demonstrated expertise in implementing and optimizing PPO or similar reinforcement learning algorithms.
- Hands-on experience with frameworks like TensorFlow, PyTorch, or JAX.
- Technical Skills:
- Strong programming skills in Python; familiarity with Rust or other languages is a plus.
- Proficiency in designing and running RL experiments in simulated or real-world environments.
- Experience with distributed training systems for reinforcement learning.
- Solid understanding of policy gradient methods and reinforcement learning theory.
- Soft Skills:
- Excellent problem-solving skills and the ability to work in a collaborative, fast-paced environment.
- Strong communication skills for presenting findings and collaborating with interdisciplinary teams.
Preferred Qualifications
- Experience in applying PPO to [specific domain, e.g., robotics, gaming, finance, etc.]
- Familiarity with OpenAI Gym, RLlib, or other RL development environments
- Knowledge of parallel computing and GPU acceleration for large-scale RL tasks
What We Offer
- Remote work location.
- Competitive salary.
- Flexible work schedule.
- Opportunities for professional development and research contributions
- Access to state-of-the-art resources and tools for AI development.
- The chance to work on groundbreaking projects with a talented and passionate team.