... reinforcement learning, policy learning, computer vision, simulation, and robotics. - Conduct comprehensive analysis of component-level choices, factoring in performance, features, cost, security ...
... reinforcement learning, policy learning, computer vision, simulation, and robotics. - Conduct comprehensive analysis of component-level choices, factoring in performance, features, cost, security ...
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 Portland, OR? For Reinforcement Learning Robotics jobs in Portland, OR, the most frequently searched job titles are:
- Robotics Engineer
- Robotics Software Engineer
- Remote Robotics Engineer
- Contract Robotics Engineer
- Internship No Experience Robotics Engineer
- Freelance Mechanical Engineer Robotics
- Remote Contract Robotics Engineer
- Medical Robotics Engineer
- Director Robotics Automation Engineer
- Remote Mechanical Engineer Robotics
What job categories do people searching Reinforcement Learning Robotics jobs in Portland, OR look for? The top searched job categories for Reinforcement Learning Robotics jobs in Portland, OR are:
Full-time
Medical, Retirement, PTO
Re-posted yesterday
Intel rating
8.7
Based on 145 frontline employees who took The Breakroom Quiz
10th of 141 rated electronics manufacturers
Job description
Job Details:
Job Description:
The Role and Impact
As a Principal Engineer, AI Systems and Solutions, you will play a pivotal role in shaping the future of artificial intelligence at Intel. This is an opportunity to lead the design and development of AI systems that integrate cutting-edge hardware, software, firmware, board, and silicon components. Your expertise will directly influence Intel's AI product roadmap, ensuring alignment with customer needs and advancing innovation across a range of industries, including autonomous driving, robotics, and cloud systems. As a recognized domain expert, you will have the opportunity to mentor and develop the next generation of technical leaders, act as a technical visionary, and contribute to transformative solutions that drive Intel's leadership in AI.
Key Responsibilities
- Design and develop integrated AI solutions, including deep learning and machine learning systems, that meet customer requirements and operational constraints.
- Serve as a key contributor to AI systems architecture, translating business opportunities into actionable use cases and product specifications.
- Lead the definition of hardware and software components, ensuring performance optimization, reliability, and maintainability across the system lifecycle.
- Develop and innovate in areas such as reinforcement learning, policy learning, computer vision, simulation, and robotics.
- Conduct comprehensive analysis of component-level choices, factoring in performance, features, cost, security, scalability, and sustainability.
- Lead the implementation and integration of AI systems, deploying solutions, executing benchmarks, and delivering technical documentation.
- Collaborate with cross-functional teams to analyze next-generation opportunities, define research directions, and contribute directly to the AI product roadmap.
- Mentor and develop other technical leaders, fostering a culture of innovation and technical excellence across the organization.
Qualifications:
Minimum Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field and 12+ years of experience in AI systems and solutions, or a Master's degree with 8+ years of experience, or a PhD with 6+ years of experience.
- Demonstrated expertise in AI productization platforms, deep learning models, and systems architecture.
- Proven experience in solution design, systems validation, and delivering end-to-end technical solutions.
- Proficiency in deep learning frameworks, programming languages such as Python or C++, and AI infrastructure tools.
- A strong track record of disciplined execution and delivering complex technical projects to market.
Preferred Qualifications
- Experience with reinforcement learning, autonomous systems, or sim2real applications.
- Familiarity with advanced memory, security, and operating system technologies that intersect with AI solutions.
- Strong leadership, collaboration, and mentorship skills, with experience guiding technical teams and fostering innovation.
- Ability to drive technical strategy and align organizational goals with groundbreaking technology solutions.
We are excited to welcome a visionary leader who can inspire innovation and shape the future of AI at Intel. If you are passionate about driving transformative change, we invite you to join us and make your mark.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
Business group:
The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $255,850.00-361,200.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
Job Description:
The Role and Impact
As a Principal Engineer, AI Systems and Solutions, you will play a pivotal role in shaping the future of artificial intelligence at Intel. This is an opportunity to lead the design and development of AI systems that integrate cutting-edge hardware, software, firmware, board, and silicon components. Your expertise will directly influence Intel's AI product roadmap, ensuring alignment with customer needs and advancing innovation across a range of industries, including autonomous driving, robotics, and cloud systems. As a recognized domain expert, you will have the opportunity to mentor and develop the next generation of technical leaders, act as a technical visionary, and contribute to transformative solutions that drive Intel's leadership in AI.
Key Responsibilities
- Design and develop integrated AI solutions, including deep learning and machine learning systems, that meet customer requirements and operational constraints.
- Serve as a key contributor to AI systems architecture, translating business opportunities into actionable use cases and product specifications.
- Lead the definition of hardware and software components, ensuring performance optimization, reliability, and maintainability across the system lifecycle.
- Develop and innovate in areas such as reinforcement learning, policy learning, computer vision, simulation, and robotics.
- Conduct comprehensive analysis of component-level choices, factoring in performance, features, cost, security, scalability, and sustainability.
- Lead the implementation and integration of AI systems, deploying solutions, executing benchmarks, and delivering technical documentation.
- Collaborate with cross-functional teams to analyze next-generation opportunities, define research directions, and contribute directly to the AI product roadmap.
- Mentor and develop other technical leaders, fostering a culture of innovation and technical excellence across the organization.
Qualifications:
Minimum Qualifications
- Bachelor's degree in Computer Science, Electrical Engineering, or a related field and 12+ years of experience in AI systems and solutions, or a Master's degree with 8+ years of experience, or a PhD with 6+ years of experience.
- Demonstrated expertise in AI productization platforms, deep learning models, and systems architecture.
- Proven experience in solution design, systems validation, and delivering end-to-end technical solutions.
- Proficiency in deep learning frameworks, programming languages such as Python or C++, and AI infrastructure tools.
- A strong track record of disciplined execution and delivering complex technical projects to market.
Preferred Qualifications
- Experience with reinforcement learning, autonomous systems, or sim2real applications.
- Familiarity with advanced memory, security, and operating system technologies that intersect with AI solutions.
- Strong leadership, collaboration, and mentorship skills, with experience guiding technical teams and fostering innovation.
- Ability to drive technical strategy and align organizational goals with groundbreaking technology solutions.
We are excited to welcome a visionary leader who can inspire innovation and shape the future of AI at Intel. If you are passionate about driving transformative change, we invite you to join us and make your mark.
Job Type:
Experienced Hire
Shift:
Shift 1 (United States of America)
Primary Location:
US, Oregon, Hillsboro
Additional Locations:
Business group:
The Central Engineering Group (CEG) is Intel's data-driven organization that builds scalable engineering solutions across three pillars: Product Enablement (IP, tools, and methodologies), Custom ASIC (leveraging existing IP for custom silicon), and Foundry Enablement (supporting top customers and validating technologies). The team focuses on customer-driven, end-to-end solutions with short development cycles to deliver measurable business impact across Intel's product and foundry businesses.
Posting Statement:
All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
Position of Trust
This role is a Position of Trust. Should you accept this position, you must consent to and pass an extended Background Investigation, which includes (subject to country law), extended education, SEC sanctions, and additional criminal and civil checks. For internals, this investigation may or may not be completed prior to starting the position. For additional questions, please contact your Recruiter.
Benefits
We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.
Annual Salary Range for jobs which could be performed in the US: $255,850.00-361,200.00 USD
The range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.
Work Model for this Role
This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.
ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.
About Intel
Sourced by ZipRecruiter
Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth
Industry
Manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1968