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What are the key skills and qualifications needed to thrive as a Robotics PhD Intern, and why are they important?

To thrive as a Robotics PhD Intern, you need advanced knowledge of robotics, machine learning, and algorithm development, usually supported by ongoing doctoral studies in robotics, computer science, or a related field. Proficiency with programming languages such as Python or C++, simulation tools like ROS (Robot Operating System), and relevant research methodologies is typically required. Strong analytical thinking, problem-solving abilities, and effective collaboration and communication skills help interns excel in research teams. These skills and qualities are crucial for driving innovation, contributing to cutting-edge projects, and effectively translating research into practical robotics solutions.

What types of projects and daily tasks can a Robotics PhD Intern expect to work on during their internship?

As a Robotics PhD Intern, you will typically engage in cutting-edge research and development projects, often contributing to areas such as computer vision, machine learning, sensor integration, or autonomous navigation. Daily tasks may include designing and running experiments, analyzing data, developing algorithms, and collaborating closely with multidisciplinary teams of engineers and researchers. Interns often present findings in team meetings and participate in code reviews, gaining valuable feedback and exposure to real-world robotics challenges. This hands-on experience is an excellent opportunity to bridge academic research with industry applications, preparing you for future roles in robotics or advanced R&D.

What does a Robotics PhD Intern do?

A Robotics PhD Intern typically works on advanced research and development projects related to robotics, such as designing algorithms, building prototypes, and conducting experiments. They collaborate with senior researchers and engineers, contribute to academic publications, and may present their findings at conferences. The internship is designed to provide hands-on experience in applying theoretical knowledge to solve real-world robotics challenges, often in areas like machine learning, computer vision, or control systems.

What is the difference between Robotics Phd Intern vs Robotics Engineer?

AspectRobotics Phd InternRobotics Engineer
Required CredentialsPhD candidate or recent PhD graduate in robotics, engineering, or related fieldBachelor's or Master's in robotics, mechanical, electrical, or computer engineering
Work EnvironmentResearch labs, academic institutions, corporate R&D departmentsIndustrial settings, manufacturing, technology companies, startups
Employer & Industry UsageUniversities, research institutions, corporate R&D teamsTech companies, manufacturing firms, automation industries

The main difference between a Robotics Phd Intern and a Robotics Engineer lies in experience, focus, and employment setting. Interns are typically pursuing or have recently completed a PhD and focus on research and development in academic or corporate labs. Robotics Engineers usually hold a bachelor's or master's degree and work on designing, developing, and implementing robotic systems in industrial environments.

What job categories do people searching Robotics Phd Intern jobs in Bothell, WA look for? The top searched job categories for Robotics Phd Intern jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Robotics Phd Intern jobs? Cities near Bothell, WA with the most Robotics Phd Intern job openings:
Robotics Phd Intern jobs near you
Research Scientist Intern, Robotic Control Policy (PhD)

Research Scientist Intern, Robotic Control Policy (PhD)

Meta

Redmond, WA

$7.65K - $12.13K/mo

Full-time, Internship

Posted 5 days ago

Meta rating

7.5

Company rating: 7.5 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

117th of 183 rated software companies

Job description

At Reality Labs Research, our goal is to explore, innovate and design novel interfaces and hardware for the next generation of virtual, augmented, and mixed reality experiences. We are driving research towards a vision of natural, seamless experiences in XR environments that are effective, enjoyable, and functionally indistinguishable from those in the real world. As a Research Scientist Intern, you will work at the intersection of robotic control, machine learning, and human-robot interaction, and you will have the opportunity to work with world-leading collaborators and mentors in these fields. Your primary focus will be on developing data-driven/ML-powered robotic control policies for dextrous manipulation and teleoperation applications.Our internships are twelve (12) to twenty-four (24) weeks long and we have various start dates throughout the year.
Research Scientist Intern, Robotic Control Policy (PhD) Responsibilities:
  • Conduct collaborative research on developing control policies for a range of robotics platforms.
  • Implement frameworks to train state-of-the-art machine learning control policies such as Large Behavioral Models, Imitation Learning, and Reinforcement Learning.
  • Develop robotic data collection pipelines for robotic dextrous manipulation, train models, and benchmark different algorithms.
  • Collaborate with researchers and cross-functional partners including communicating research plans, progress, and results.

Minimum Qualifications:
  • Currently has or is in the process of obtaining a Ph.D. degree in Computer Science, Artificial Intelligence, Robotics, or relevant technical field
  • Understand state of the art in robotic manipulation control policies, and advancing the technological frontier in an impactful and efficient way
  • Experience with RoS, Python, PyTorch or JAX, or other related languages
  • Must obtain work authorization in the country of employment at the time of hire and maintain ongoing work authorization during employment

Preferred Qualifications:
  • Experience with modern control policies like reinforcement learning, imitation learning, and large behavioral models
  • Familiarity with modeling and analysis used in robotics including kinematics, dynamics, motion planning, perception, task planning, and control theory
  • Experience working with robot manipulation
  • Experience learning policies from human demonstrations with wearable devices
  • Experience working and communicating cross functionally in a team environment
  • Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at leading workshops or conferences such as Robotics (RSS, ICRA, IROS, CoRL, T-RO, IJRR), Machine Learning (NeurIPS, ICML, ICLR, AAAI, JMLR), and Computer Vision (CVPR, ICCV, ECCV, TPAMI), or similar
  • Intent to return to the degree program after the completion of the internship/co-op

About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@meta.com.
$7,650/month to $12,134/month + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

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