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 ...
AI Researcher
New York, NY · On-site
Experience with deep reinforcement learning in any context (autonomous vehicles, robotics, or LLMs) * Experience working with data generated by human experts for model training * Financial services ...
AI Researcher
New York, NY · On-site
Experience with deep reinforcement learning in any context (autonomous vehicles, robotics, or LLMs) * Experience working with data generated by human experts for model training * Financial services ...
Senior Applied Scientist, Fauna
$100K - $136K/yr
... between robots and their environments. Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural ...
Senior Applied Scientist, Fauna
$100K - $136K/yr
... between robots and their environments. Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural ...
Senior Applied Scientist, Fauna
New York, NY · On-site
$100K - $136K/yr
... between robots and their environments. Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural ...
Senior Applied Scientist, Fauna
New York, NY · On-site
$100K - $136K/yr
... between robots and their environments. Key job responsibilities - Develop controllers that leverage reinforcement learning, imitation learning, or other advanced AI techniques to achieve natural ...
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 ...
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related ...
Integrate various machine learning models (e.g., LLMs, reinforcement learning, predictive models ... Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Robotics, or a related ...
AI Research Engineer
New York, NY · On-site
$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 ...
AI Research Engineer
New York, NY · On-site
$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 ...
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.
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 ...
Demonstrated research experience in robotic manipulation, reinforcement/imitation learning, or ... model-based control. * Hands-on experience with physics-based robot simulation, especially NVIDIA ...
New
Demonstrated research experience in robotic manipulation, reinforcement/imitation learning, or ... model-based control. * Hands-on experience with physics-based robot simulation, especially NVIDIA ...
New
Demonstrated research experience in robotic manipulation, reinforcement/imitation learning, or ... model-based control. * Hands-on experience with physics-based robot simulation, especially NVIDIA ...
New
Demonstrated research experience in robotic manipulation, reinforcement/imitation learning, or ... model-based control. * Hands-on experience with physics-based robot simulation, especially NVIDIA ...
New
Research Scientist, World Models
New York, NY · On-site
$120K - $180K/yr
... active learning, reinforcement learning, and a first-principles rethinking of what it means to ... Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics ...
Research Scientist, World Models
New York, NY · On-site
$120K - $180K/yr
... active learning, reinforcement learning, and a first-principles rethinking of what it means to ... Apply these methods to concrete challenges such as AutumnBench, physical and simulated robotics ...
Reinforcement Learning Robotics information
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 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 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 are popular job titles related to Reinforcement Learning Robotics jobs in Edison, NJ? For Reinforcement Learning Robotics jobs in Edison, NJ, the most frequently searched job titles are:
What job categories do people searching Reinforcement Learning Robotics jobs in Edison, NJ look for? The top searched job categories for Reinforcement Learning Robotics jobs in Edison, NJ are:
What cities near Edison, NJ are hiring for Reinforcement Learning Robotics jobs? Cities near Edison, NJ with the most Reinforcement Learning Robotics job openings:
Tata Consultancy Services rating
6.5
Based on 21 frontline employees who took The Breakroom Quiz
159th of 210 rated it services
Job description
About the Role
As an AI Researcher for Computer Vision & Autonomous Robots at TCS, you’ll work on the frontier of applied artificial intelligence, where perception meets physical intelligence. This role is designed for bright, curious, and self-driven graduates who aspire to build the next generation of intelligent robotic systems - capable of seeing, reasoning, and acting autonomously in the physical world.
You will collaborate with interdisciplinary teams of researchers, data scientists, and roboticists to explore, prototype, and implement computer vision and machine learning algorithms that power autonomous robots, humanoids, and intelligent machines. 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, and human–machine collaboration and want to shape how intelligent systems interact with the world - this is your launchpad.
Key Responsibilities
AI Research & Experimentation
- Research, develop, and prototype novel algorithms in computer vision, deep learning, and autonomous systems.
- Work on topics such as object detection, pose estimation, scene understanding, 3D reconstruction, and sensor fusion.
- Contribute to building perception pipelines for autonomous mobile robots (AMRs), humanoids, and collaborative robotic systems.
Development & Implementation
- Design, train, and optimize deep neural networks using frameworks such as PyTorch or TensorFlow.
- Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs.
- Implement algorithms for navigation, path planning, and control integration.
Collaboration & Innovation
- Partner with cross-functional teams in AI, robotics, and systems engineering to co-create innovative prototypes.
- Participate in TCS research initiatives, innovation challenges, and client-facing proof-of-concept demonstrations.
- Contribute to whitepapers, patents, and internal publications advancing TCS’s thought leadership in AI and robotics.
Continuous Learning & Experimentation
- Stay current with advances in AI, robotics, and multimodal learning from academia and industry.
- Experiment with new architectures (e.g., Vision Transformers, Diffusion Models, Agentic AI frameworks).
- Test and benchmark algorithms on physical robot platforms and simulation environments (e.g., Gazebo, Isaac Sim).
Required Qualifications & Skills
Educational Background:
- Master’s or Ph. D in Computer Science, Robotics, Electrical/Electronics Engineering, Mechatronics, or AI/ML from a recognized institution.
- Strong academic foundation in machine learning, image processing, linear algebra, and probability.
What Tata Consultancy Services employees say
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Benefits
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About Tata Consultancy Services
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Tata Consultancy Services is an IT services, consulting and business solutions organization that delivers real results to global business, ensuring a level of certainty no other firm can match. TCS offers a consulting-led, integrated portfolio of IT, BPO, infrastructure, engineering, and assurance services. This is delivered through its unique Global Network Delivery Model™, recognized as the benchmark of excellence in software development. TCS delivers a level of certainty that no other firm can match--to our clients and to our employees. Come join us and experience certainty in your career. TCS a global Consulting and IT Services firm that is ranked in the top quartile by industry analysts. Our 2021 fiscal revenues topped $25 B and our market capitalization is over $170+B, yet we have a deep and large history of philanthropy and corporate social responsibility. Now approaching 600K of the best IT professionals and consultants, we are a trusted advisor, guiding our clients' enterprises through growth and transformation journeys - helping them to become agile, intelligent, automated and on the cloud. We are devoted to DEI and are recognized as a top employer and place to work.