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Science World Jobs (NOW HIRING)

Mad Science Performer

Fall River, MA ยท On-site

$17 - $30/hr

Mad Science is the world's leading provider of fun science programs for elementary-aged children. Responsibilities * Traveling to program locations such as schools, recreation departments, and ...

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Science World information

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$24.5K

$48.4K

$79K

How much do science world jobs pay per year?

As of Jun 10, 2026, the average yearly pay for science world in the United States is $48,391.00, according to ZipRecruiter salary data. Most workers in this role earn between $38,500.00 and $52,000.00 per year, depending on experience, location, and employer.

What is the difference between Science World vs Science Educator?

AspectScience WorldScience Educator
Required CredentialsHigh school diploma or higher; relevant science backgroundDegree in education, science, or related field; teaching certification often preferred
Work EnvironmentScience centers, museums, public exhibitsSchools, museums, community programs
Employer & IndustryScience centers, museums, educational organizationsEducational institutions, museums, science centers
Common Search & ComparisonFocuses on science exhibits and public engagementFocuses on teaching science concepts and curriculum delivery

Science World typically refers to a science center or museum that offers interactive exhibits and public science engagement. A Science Educator, on the other hand, is a professional who teaches science concepts, often within educational or museum settings. While both roles involve science communication, Science World is a venue, whereas a Science Educator is a job title focused on instruction and education delivery.

What are the key skills and qualifications needed to thrive as a Science Writer, and why are they important?

To thrive as a Science Writer, you need strong research abilities, a solid understanding of scientific concepts, and excellent writing skills, often supported by a degree in science or journalism. Familiarity with content management systems, citation software, and data visualization tools is commonly required. Attention to detail, curiosity, and the ability to translate complex information into engaging content are standout soft skills. These skills ensure accurate, accessible communication of scientific knowledge to broad audiences, supporting public understanding and engagement.

What is Science World and what do people do there?

Science World is a science center and museum located in Vancouver, Canada, dedicated to engaging people of all ages in science, technology, engineering, and math (STEM) through interactive exhibits, educational programs, and live demonstrations. Employees at Science World can have a variety of roles, including exhibit guides, educators, administrative staff, and technicians. Their main goal is to inspire curiosity and foster learning by making science accessible and fun for visitors. Jobs at Science World often involve interacting with the public, maintaining and developing exhibits, organizing events, and supporting educational outreach.

What are some common challenges faced by science museum educators, and how can they be addressed?

Science museum educators often encounter the challenge of engaging diverse audiences with varying levels of scientific knowledge and interest. To address this, educators use interactive exhibits, hands-on demonstrations, and adaptable communication strategies to make complex topics accessible and exciting for everyone. Additionally, staying updated with current scientific advancements and tailoring content to different age groups are key to maintaining visitor engagement and educational value. Collaborating with scientists and other educators also helps ensure programs are accurate and relevant.
What cities are hiring for Science World jobs? Cities with the most Science World job openings:
What states have the most Science World jobs? States with the most job openings for Science World jobs include:
Infographic showing various Science World job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $48,391 per year, or $23.3 per hour.
Senior Research Scientist, World Action Modeling

Senior Research Scientist, World Action Modeling

Waymo

Mountain View, CA โ€ข On-site, Remote

$213K - $263K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


Job description

Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. Since its start as the Google Self-Driving Car Project in 2009, Waymo has focused on building the Waymo Driver-The World's Most Experienced Driver-to improve access to mobility while saving thousands of lives now lost to traffic crashes. The Waymo Driver powers Waymo's fully autonomous ride-hail service and can also be applied to a range of vehicle platforms and product use cases. The Waymo Driver has provided over ten million rider-only trips, enabled by its experience autonomously driving over 100 million miles on public roads and tens of billions in simulation across 15+ U.S. states.

The mission of the Waymo AI Foundations team is to develop machine learning solutions addressing open problems in autonomous driving, towards the goal of safely operating Waymo vehicles in dozens of cities and under all driving conditions. As part of our work, we also initiate and foster collaborations with other research teams in Alphabet. AI Foundations areas that we are currently focusing on include reinforcement learning, learning from demonstration, generative modeling, Bayesian inference, hierarchical learning, and robust evaluation.

This role follows a hybrid work schedule and reports to a Staff Research Scientist / Tech Lead Manager.

You will:

  • Design and implement generative world action modeling solutions to simulate future world states / observations and generate policies for embodied agents (autonomous vehicles).
  • Develop and maintain scalable data pipelines to process data from multiple sources.
  • Design and implement evaluation strategies for world action models.
  • Study and analyze different behaviors of this model, such as scaling efficacy, downstream quality implications, model architecture design ablations, etc.
  • Conducting cutting-edge research and potentially communicating research findings to the wider academic community via technical blog posts, technical reports and/or publications.
  • Collaborate inclusively across Waymo/Alphabet to apply developed techniques to Waymo products.

You have:

  • PhD degree in Computer Science or a similar discipline, or an equivalent amount of deep learning research experience, with 5+ years of experience with Deep Learning and Generative Models.
  • Strong coding skills in Python and strong familiarity with major ML Frameworks (JAX, Tensorflow, Pytorch).
  • Strong familiarity with AI tools in day to day work.
  • Experience in large-scale distributed training and different forms of parallelism.
  • Experience in generative models for domains such as world models, images, videaos, 3D, human animation, traffic, and/or simulation, using techniques such as diffusion and/or autoregressive models.

We prefer:

  • Publications at top-tier conferences like CVPR/ICCV/ECCV/ICLR/ICML/NeurIPS/IROS/CoRL etc.
  • Substantial involvement in and contributions to high impact industry AI projects.
  • First-hand experience in, and direct contributions to training large world models / world-action models.
  • Familiarity with Reinforcement Learning in simulation environments.

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (statutory, where applicable); 5 days/event (discretionary)
  • Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year

The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.

Waymo employees are also eligible to participate in Waymo's discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.

Salary Range
$213,000โ€”$263,000 USD