... sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation ... Demonstrated research and software engineering experience via an internship, work experience ...
... sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation ... Demonstrated research and software engineering experience via an internship, work experience ...
... sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation ... Demonstrated research and software engineering experience via an internship, work experience ...
... sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation ... Demonstrated research and software engineering experience via an internship, work experience ...
Experience with simulation and modeling tools such as NS-3, HTSim, ASTRA-sim, or similar Expected ... All qualified applicants will receive consideration for employment without regard to race, color ...
Experience with simulation and modeling tools such as NS-3, HTSim, ASTRA-sim, or similar Expected ... All qualified applicants will receive consideration for employment without regard to race, color ...
Experience with simulation and modeling tools such as NS-3, HTSim, ASTRA-sim, or similar Expected ... All qualified applicants will receive consideration for employment without regard to race, color ...
Experience with simulation and modeling tools such as NS-3, HTSim, ASTRA-sim, or similar Expected ... All qualified applicants will receive consideration for employment without regard to race, color ...
Internship Sim Racing information
What is the difference between Internship Sim Racing vs Sim Racing Coach?
| Aspect | Internship Sim Racing | Sim Racing Coach |
|---|---|---|
| Credentials | Basic knowledge of sim racing, possibly enrolled in related courses | Expertise in racing techniques, coaching certifications often preferred |
| Work Environment | Internship programs, team settings, racing centers or online platforms | One-on-one coaching sessions, online or in-person |
| Industry Usage | Entry-level training, skill development, industry exposure | Skill improvement, race strategy, performance analysis |
Internship Sim Racing typically involves gaining foundational experience in sim racing through internships, focusing on learning and skill development. In contrast, a Sim Racing Coach provides expert guidance to improve racing performance. While internships are more about training and exposure, coaching is about personalized skill enhancement.
What is the meaning of internship?
An internship is a temporary position within a company or organization that provides practical work experience related to a specific field, such as sim racing. Internships often serve as a way for individuals to develop skills, gain industry knowledge, and explore career options, sometimes requiring specific qualifications or training. For a sim racing internship, familiarity with racing simulations and related tools may be beneficial.
Is $30 an hour good for an intern?
For an internship in sim racing or related fields, $30 an hour is considered above average, as most internships tend to pay lower or offer stipends. However, pay rates can vary based on location, company, and the level of skills required, so it's important to compare with industry standards in your area.
What types of projects and responsibilities can I expect during an internship in sim racing?
As a sim racing intern, you'll likely work on a variety of tasks such as assisting with race event organization, supporting data analysis for drivers, helping with simulator setup and maintenance, and contributing to content creation for teams or sponsors. You may also collaborate closely with engineers, drivers, and marketing staff to ensure smooth operations and enhance the team's competitive edge. This hands-on experience provides valuable insights into both the technical and business sides of the sim racing industry, making it a great stepping-stone for future roles in motorsport or esports.
What are the key skills and qualifications needed to thrive as an Internship Sim Racing participant, and why are they important?
To thrive in an Internship Sim Racing role, you need a strong understanding of motorsport principles, racing strategy, and basic mechanical knowledge, often supported by coursework or experience in motorsport engineering or related fields. Familiarity with sim racing platforms (such as iRacing, Assetto Corsa, or rFactor), telemetry analysis software, and data logging systems is typically required. Strong communication, teamwork, and adaptability help you collaborate effectively with engineers, drivers, and other team members. These skills are vital to maximize performance, contribute to team success, and gain practical experience in a competitive racing environment.
What is an Internship in Sim Racing?
An Internship in Sim Racing is a temporary, learning-focused position that provides hands-on experience in the world of virtual motorsports. Interns may work with sim racing teams, esports organizations, or companies that develop sim racing hardware and software. Responsibilities can range from assisting with event organization, supporting drivers, contributing to content creation, or working on technical aspects like telemetry analysis. This type of internship is ideal for individuals looking to gain industry knowledge, network with professionals, and develop relevant skills for a career in sim racing or esports.
Is a 3.4 GPA good for internships?
For an internship in sim racing or related fields, a 3.4 GPA is generally considered acceptable, especially if combined with relevant skills, such as familiarity with racing simulation software or hardware. Many employers value practical experience and skills over GPA, but maintaining a strong academic record can enhance your application. Ultimately, demonstrating passion and technical ability can be more important than GPA alone.
What is an internship and what does it do?
An internship in the context of an internship sim racing role is a temporary position that provides hands-on experience in sim racing, often involving tasks like event support, content creation, or technical assistance. It helps individuals develop skills, gain industry knowledge, and build a professional network, typically requiring familiarity with racing simulations and related tools. Internships can be part-time or full-time and may lead to future employment opportunities in the racing or gaming industries.
What are the most commonly searched types of Sim Racing jobs in California? The most popular types of Sim Racing jobs in California are:
What are popular job titles related to Internship Sim Racing jobs in California? For Internship Sim Racing jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Sim Racing jobs in California look for? The top searched job categories for Internship Sim Racing jobs in California are:
What cities in California are hiring for Internship Sim Racing jobs? Cities in California with the most Internship Sim Racing job openings:
Meta rating
7.5
Based on 43 frontline employees who took The Breakroom Quiz
123rd of 191 rated software companies
Job description
The ideal Research Scientist candidate will use their skills in system design and modeling and possess knowledge of a wide variety of components and technologies. These roles will require research and problem-solving skills, as well as fabrication and prototyping to design, develop, and construct novel prototypes and architectures. These roles will work in a focused incubation team and collaborate with a large and wide-ranging set of scientists and engineers in the greater organization.
AI Research Scientist, Robotics Responsibilities:
Minimum Qualifications:
Preferred Qualifications:
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.
AI Research Scientist, Robotics Responsibilities:
- Perform fundamental and applied research to push the scientific and technological frontiers of embodied artificial intelligence
- Invent/improve novel data-driven paradigms for robotics, leveraging a variety of modalities (images, video, text, audio, tactile, etc)
- Investigate paradigms that can deliver a spectrum of embodied behaviors - from simulated characters to real robots, and from short-horizon, low-level to long-horizon, high-level intelligence
- Develop algorithms based on state-of-the-art machine learning and neural network methodologies
- Define, build and benchmark new functionalities needed for the next generation of AI
- Conduct research towards long-term product goals while identifying intermediate milestones
- Plan and execute novel research based on long-term objectives of the organization
Minimum Qualifications:
- Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
- Currently has or is in the process of obtaining a PhD degree in the field of Artificial Intelligence, Robotics, Computer Vision, Machine Learning, Language, a related field, or equivalent practical experience
- Experience with any of the following research areas: robotics, motion planning, embodied AI, human-robot interaction, sim-to-real transfer, learning from demonstration, reinforcement learning, dexterous manipulation, digital agents, vision language models, computer vision, egocentric perception, and/or LLMs
- Experience in relevant robotics related research areas, such as: VLM, robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
Preferred Qualifications:
- Experience solving complex problems and comparing alternative solutions, tradeoffs, and different perspectives to determine a path forward
- Experience working with robot simulations and real-world hardware
- Experience working and communicating cross functionally in a team environment
- 2+ years of industry experience in relevant robotics related research areas, such as: robot learning, reinforcement learning, imitation learning, action-conditioned world models, task and motion planning, sim-to-real transfer robotic control, manipulation, navigation, or generally embodied AI
- Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as publications at leading workshops, journals or conferences in Machine Learning (NeurIPS, ICML, ICLR), Robotics (ICRA, IROS, RSS, CoRL), Computer Vision (CVPR, ICCV, ECCV)
- Experience with manipulating and analyzing complex, large scale, high-dimensionality data from varying sources
- Experience building systems based on machine learning and/or deep learning methods
- Demonstrated research and software engineering experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
- Experience with deep learning frameworks (such as PyTorch, Tensorflow) and Python
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.
$154,000/year to $217,000/year + bonus + equity + 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.
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.
$154,000/year to $217,000/year + bonus + equity + 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.
About Meta
Sourced by ZipRecruiter
Industry
Internet and it, media and telecom and software development
Company size
10,000+ Employees
Headquarters location
Menlo Park, CA, US