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Remote Behavioral Science Research Jobs in California

Research Scientist

San Francisco, CA · On-site +1

$158K - $269K/yr

... behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment ... Qualifications: - Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision ...

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

... science, electrical engineering, or related fields/experience * Strong Python programming skills ... Mountain View, CA (not a remote position) Employment Eligibility: At this time NextSense is only ...

Millions of scientists, educators and students use JoVE for their research, teaching and learning ... Benefits * We're fully remote! * Comprehensive benefit plans including, medical, dental, vision ...

... Science teams. Work with Product and Engineering teams to streamline workflow of computational ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

You have good understanding of foundational computer science concepts like design patterns, data ... About Tilda Research We are a clinical trial network built from the ground up, suitable for the ...

Senior AI Research Scientist

San Francisco, CA · On-site +1

$116K - $147K/yr

Quartz ranked us the #1 best company for remote workers Responsibilities We are looking for an exceptional AI Research Scientist to join our growing team. In this role, you will be responsible to:

Showing results 21-40

Remote Behavioral Science Research information

See California salary details

$18.1K

$75.5K

$147.4K

How much do remote behavioral science research jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote behavioral science research in California is $75,463.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,961.00 and $91,557.00 per year, depending on experience, location, and employer.

What is a remote behavioral science researcher?

A Remote Behavioral Science Research job involves studying human behavior, decision-making, and psychological patterns using scientific methods while working from a remote location. Researchers in this field may design and conduct experiments, analyze data, and interpret findings to provide insights for businesses, healthcare, or policy-making. They often collaborate with interdisciplinary teams and use statistical tools or behavioral theories to understand and predict behavior. This role typically requires skills in research design, data analysis, and strong communication abilities to present findings effectively.

What are the main responsibilities of a remote behavioral science researcher?

Remote Behavioral Science Researchers typically design, conduct, and analyze behavioral experiments, review scientific literature, and summarize findings for teams or clients. Much of the daily work involves collecting and managing data, preparing reports, and collaborating with colleagues through virtual meetings and shared digital platforms. Researchers may also be responsible for developing surveys, conducting interviews, or contributing to the design of interventions. This role offers the flexibility of remote work but requires discipline in meeting deadlines and maintaining clear communication across the team.

What are the key skills and qualifications needed to thrive in the remote behavioral science research position?

To thrive in Remote Behavioral Science Research, you generally need a background in psychology or a related field, experience with scientific research methods, and strong analytical skills. Familiarity with statistical software (such as SPSS, R, or Python), online survey platforms, and data visualization tools is commonly required. Effective communication, self-motivation, and strong time management are essential soft skills, especially in a remote setting. These qualifications enable researchers to work independently, deliver insightful findings, and collaborate efficiently with distributed teams.

What are the most commonly searched types of Behavioral Science Research jobs in California? The most popular types of Behavioral Science Research jobs in California are:
What job categories do people searching Remote Behavioral Science Research jobs in California look for? The top searched job categories for Remote Behavioral Science Research jobs in California are:
What cities in California are hiring for Remote Behavioral Science Research jobs? Cities in California with the most Remote Behavioral Science Research job openings:
Infographic showing various Remote Behavioral Science Research job openings in California as of August 2026, with employment types broken down into 10% Internship, 47% Full Time, 38% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $75,463 per year, or $36.3 per hour.

Research Scientist

Waabi

San Francisco, CA • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 25 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
Join us to build the next frontier of applying generative AI in the physical world! As a research scientist, you will invent new AI technologies that enable our launch of fully driverless autonomous trucks. You will contribute towards Waabi's vision of a single AI system that learns end-to-end and in a provably safe manner as well as our revolutionary high-fidelity, closed-loop simulator, Waabi World. Both senior and junior scientists are welcome to apply.
You will...
- Lead and contribute to AI research projects, pushing the frontiers of the field by developing new algorithms for our autonomy system and state-of-the-art simulator.
- Work on a diverse set of problems related to self-driving, such as perception, motion forecasting, controls, sensor simulation, scenario generation, behavior modeling, mapping, localization, intelligent data mining & analysis, and safe deployment.
- Develop innovative solutions to problems by leveraging the latest advances in AI, including transformers, foundational models, LLMs/VLMs, generative modeling, imitation/reinforcement learning, inverse rendering, etc.
- Support deploying solutions to our production systems, collaborating closely with platform teams to ensure seamless integration of research findings into production systems.
- Stay up-to-date and advance beyond the state-of-the-art in artificial intelligence, machine learning, computer vision, and self-driving technologies.
- Champion engineering excellence, ensuring high-quality, well structured and tested code.
- Submit and publish work externally at top machine learning, computer vision, and robotics conferences (NeurIPS, ICLR, ICML, CVPR, etc.) and post to our company blog.
Qualifications:
- Masters/PhD degree in Computer Science, AI, Machine Learning, Computer Vision, Robotics and/or similar technical field(s) of study. Exceptional Bachelor's students will also be considered.
- Demonstrated research experience through previous internships, work experience, research projects, and papers at top conferences.
- Strong quantitative background and coursework in or working knowledge of linear algebra, calculus, and probability.
- Proficient in reading and coding in Python.
- Open-minded and collaborative team player with willingness to help others.
- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions.
Bonus Points:
- Previous experience in self-driving technology.
- Experience in shipping machine learning features/models into production.
- Proven track record of mentoring junior researchers or engineers.
- Proficiency in Pytorch, Rust, C++ and/or CUDA.
The US yearly salary range for this role is: $158,000 - $269,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.