Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Human-Robot Interaction, Senior Applied Scientist , Fauna
New York, NY · On-site
$107K - $137K/yr
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Human-Robot Interaction, Senior Applied Scientist , Fauna
New York, NY · On-site
$107K - $137K/yr
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Research Associate
New York, NY · On-site
$48K - $65K/yr
Hao Su ( at NYU Tandon School of Engineering is seeking to hire a Full time Research Associate to work on mechatronics design, control, and reinforcement learning for wearable robots, surgical robots ...
Research Associate
New York, NY · On-site
$48K - $65K/yr
Hao Su ( at NYU Tandon School of Engineering is seeking to hire a Full time Research Associate to work on mechatronics design, control, and reinforcement learning for wearable robots, surgical robots ...
ML Infrastructure Engineer, Fauna
$117K - $154K/yr
You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training ...
ML Infrastructure Engineer, Fauna
$117K - $154K/yr
You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training ...
ML Infrastructure Engineer, Fauna
New York, NY · On-site
$117K - $154K/yr
You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training ...
ML Infrastructure Engineer, Fauna
New York, NY · On-site
$117K - $154K/yr
You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training ...
AI Researcher
Edison, NJ · On-site
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be pushing the boundaries of what machines can perceive and do. If you are passionate about AI, robotics ...
AI Researcher
Edison, NJ · On-site
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be pushing the boundaries of what machines can perceive and do. If you are passionate about AI, robotics ...
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be pushing the boundaries of what machines can perceive and do. If you are passionate about AI, robotics ...
From visual perception and SLAM to multimodal sensor fusion and reinforcement learning, you'll be pushing the boundaries of what machines can perceive and do. If you are passionate about AI, robotics ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
Your contributions will be essential in advancing robotics by enabling expressive, socially ... reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging ...
ML Infrastructure Engineer, Fauna
New York, NY · On-site
$117K - $154K/yr
You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training ...
ML Infrastructure Engineer, Fauna
New York, NY · On-site
$117K - $154K/yr
You'll bring deep expertise in reinforcement learning, computer vision, and supervised learning applied to robotics and embodied systems. You also need to think seriously about training ...
Senior AI Data Engineer- Vice President
New York, NY · On-site
$142/hr
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models ... Bachelor's degree in computer science, artificial intelligence, robotics, or a related quantitative ...
Senior AI Data Engineer- Vice President
New York, NY · On-site
$142/hr
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models ... Bachelor's degree in computer science, artificial intelligence, robotics, or a related quantitative ...
(Senior) AI Scientist (m/f/d)
New York, NY · On-site +1
$150K - $300K/yr
Develop simulation environments and reinforcement learning, planning and control methods, for robotics and mechatronics systems * Researching and developing neural generative reasoning over formal ...
(Senior) AI Scientist (m/f/d)
New York, NY · On-site +1
$150K - $300K/yr
Develop simulation environments and reinforcement learning, planning and control methods, for robotics and mechatronics systems * Researching and developing neural generative reasoning over formal ...
Senior AI Research Engineer
New York, NY · On-site +1
$225K - $300K/yr
Are familiar with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics * Have experience with RL (reinforcement learning) * Have a strong ...
Senior AI Research Engineer
New York, NY · On-site +1
$225K - $300K/yr
Are familiar with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics * Have experience with RL (reinforcement learning) * Have a strong ...
Staff AI Research Engineer
New York, NY · On-site +1
$250K - $300K/yr
Are familiar with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics * Have experience with RL (reinforcement learning) * Have a strong ...
Staff AI Research Engineer
New York, NY · On-site +1
$250K - $300K/yr
Are familiar with training inference and infra pipelines that go from camera input to trajectory output for self driving or robotics * Have experience with RL (reinforcement learning) * Have a strong ...
Research Scientist, Program Synthesis & Neuro-symbolic Methods
New York, NY · On-site
$120K - $180K/yr
You will advance the frontiers of world modeling, reinforcement learning, program synthesis, and robotic control to create systems that can learn, reason about, and interact with the physical world.
Research Scientist, Program Synthesis & Neuro-symbolic Methods
New York, NY · On-site
$120K - $180K/yr
You will advance the frontiers of world modeling, reinforcement learning, program synthesis, and robotic control to create systems that can learn, reason about, and interact with the physical world.
Senior AI Engineer (m/f/d)
New York, NY · On-site
$114K - $157K/yr
Expertise with one or several advanced AI topics such as simulation of dynamic systems, world models, reinforcement learning, planning and control theories, physics-informed models, robotics ...
Senior AI Engineer (m/f/d)
New York, NY · On-site
$114K - $157K/yr
Expertise with one or several advanced AI topics such as simulation of dynamic systems, world models, reinforcement learning, planning and control theories, physics-informed models, robotics ...
Our goal is simple: make robots people actually want to live and interact with in everyday human ... reinforcement learning deployment constraints on edge devices Amazon is an equal opportunity ...
Our goal is simple: make robots people actually want to live and interact with in everyday human ... reinforcement learning deployment constraints on edge devices Amazon is an equal opportunity ...
VP, Physical AI GTM
New York, NY · On-site
$196K - $253K/yr
... robotics, autonomous cars, uncrewed aerial vehicles, and smart manufacturing-is a massive, specialized growth vector that requires unparalleled compute power for simulation, reinforcement learning ...
VP, Physical AI GTM
New York, NY · On-site
$196K - $253K/yr
... robotics, autonomous cars, uncrewed aerial vehicles, and smart manufacturing-is a massive, specialized growth vector that requires unparalleled compute power for simulation, reinforcement learning ...
Reinforcement Learning Robotics information
What is reinforcement learning in robotics?
Reinforcement learning in robotics refers to a type of machine learning where robots learn to perform tasks through trial and error, receiving feedback from their actions in the form of rewards or penalties. This approach allows robots to autonomously develop complex behaviors by interacting with their environment, rather than relying solely on pre-programmed instructions. Reinforcement learning is especially useful for tasks that are difficult to model explicitly, such as walking, grasping, or navigation. Over time, the robot improves its performance by maximizing the cumulative reward, leading to more efficient and adaptive behaviors.
What are some common challenges faced when implementing reinforcement learning algorithms in robotics projects?
One common challenge in this role is bridging the gap between simulation and real-world environments, as algorithms that perform well in simulation may not translate directly to physical robots due to unpredictable variables and hardware limitations. Additionally, ensuring the safety and stability of the robot during training is crucial, since trial-and-error learning can sometimes result in unintended behaviors or hardware damage. Collaboration with hardware engineers and domain experts is often necessary to fine-tune models, interpret results, and iterate on solutions. Overcoming these challenges requires patience, adaptability, and strong communication skills within a multidisciplinary team.
What are the key skills and qualifications needed to thrive as a reinforcement learning robotics engineer, and why are they important?
To thrive as a Reinforcement Learning Robotics Engineer, you need a strong background in robotics, machine learning, and programming, typically supported by a degree in computer science, engineering, or a related field. Expertise with frameworks like TensorFlow or PyTorch, experience with simulation environments (such as Gazebo or ROS), and familiarity with reinforcement learning algorithms are essential. Strong problem-solving skills, creativity, and effective communication set standout professionals apart in this rapidly evolving field. These skills enable engineers to develop intelligent robotic systems that adapt and learn efficiently, driving innovation and practical deployment in real-world environments.
What is the difference between Reinforcement Learning Robotics vs Machine Learning Engineer?
| Aspect | Reinforcement Learning Robotics | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Degree in Robotics, Computer Science, or related fields; knowledge of reinforcement learning | Degree in Computer Science, Data Science, or related fields; expertise in machine learning algorithms |
| Work Environment | Robotics labs, manufacturing, autonomous systems | Tech companies, data-driven projects, software development |
| Industry Usage | Autonomous robots, industrial automation, research | Data analysis, predictive modeling, AI applications |
Reinforcement Learning Robotics focuses on applying reinforcement learning techniques to control and optimize robotic systems, often in physical environments. Machine Learning Engineers develop algorithms for a broad range of applications, including data analysis and predictive modeling. While both roles require knowledge of machine learning, Reinforcement Learning Robotics emphasizes robotics and real-world interaction, whereas Machine Learning Engineers work across various industries with software-based solutions.
What job categories do people searching Reinforcement Learning Robotics jobs in Freehold, NJ look for?
The top searched job categories for Reinforcement Learning Robotics jobs in Freehold, NJ are:
What cities near Freehold, NJ are hiring for Reinforcement Learning Robotics jobs?
Cities near Freehold, NJ with the most Reinforcement Learning Robotics job openings:
Full-time
Re-posted 11 days ago
Amazon rating
7.4
Based on 7,154 frontline employees who took The Breakroom Quiz
5th of 39 rated national retailers
Job description
We are seeking a Human-Robot Interaction (HRI) Applied Scientist to develop cutting-edge interactions that make robots feel alive, personal, and fun. In this role, you will focus on verbal and non-verbal conversational systems, social dynamics, memory, and long-term relationship formation between robots, their environments, and the people they interact with. Your contributions will be essential in advancing robotics by enabling expressive, socially intelligent, and trustworthy interactions between robots and humans.
Key job responsibilities
- Develop interactive systems that leverage large language models, multimodal inputs and outputs, reinforcement learning from human feedback, or other advanced techniques to achieve fluid, engaging, and socially appropriate robot behavior
- Design and implement intelligent conversational systems that handle turn-taking, grounding, interruption, and incorporates context drawn from a robot's physical environment and shared history with a user
- Integrate perceptual sensor streams including gaze, facial expression, gesture, posture, and more to understand social context and produce coherent, lifelike interactions.
- Develop memory and personalization systems that allow robots to form lasting relationships with individual users, learn their environments, and adapt their behavior over weeks and months
- Stay updated on advancements in HRI, NLP, multimodal AI, and cognitive and social science to apply cutting-edge techniques to robot interaction challenges
- Lead technical projects from conception through production deployment
- Mentor junior scientists and engineers
- Bridge research initiatives with practical engineering implementation
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US