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Full Time Mining Research Jobs (NOW HIRING)

Research Scientist

San Francisco, CA · On-site +1

$158K - $269K/yr

... data mining & analysis, and safe deployment. - Develop innovative solutions to problems by ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... data mining & analysis, and safe deployment. - Develop innovative solutions to problems by ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

... data mining & analysis, and safe deployment. - Develop innovative solutions to problems by ... full-time employees only). - Unlimited Vacation. - Flexible hours and Work from Home support ...

R&D Engineer II-Software

Bridgeton, MO · On-site

$92K - $126K/yr

Job Title- R&D Engineer II-Software Project Location - Hybrid in Bridgeton, MO Duration- Fulltime ... Facilitate data mining efforts for business and R&D needs. * Perform data analysis required to ...

Develop and maintain trace search, trace mining, and data labeling systems that feed the continual ... S. base salary range for this full-time position is $200,000-$335,000 . Total compensation for this ...

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Full Time Mining Research information

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$68K

$82K

$93K

How much do full time mining research jobs pay per year?

As of Aug 12, 2026, the average yearly pay for full time mining research in the United States is $82,038.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $83,000.00 per year, depending on experience, location, and employer.

What is the difference between Full Time Mining Research vs Full Time Mining Engineering?

AspectFull Time Mining ResearchFull Time Mining Engineering
Required CredentialsBachelor's or Master's in Geology, Mining, or related fieldsBachelor's or Master's in Mining Engineering or related disciplines
Work EnvironmentLaboratories, field sites, research facilitiesMining sites, construction sites, engineering offices
Employer & Industry UsageResearch institutions, mining companies, government agenciesMining companies, engineering firms, construction companies
Common Search & Comparison IntentUnderstanding research roles in miningUnderstanding engineering roles in mining

Full Time Mining Research focuses on studying mineral deposits, analyzing geological data, and developing new extraction techniques, often within labs or research settings. In contrast, Full Time Mining Engineering involves designing and managing mining operations, ensuring safety, and overseeing extraction processes at mining sites. Both roles require relevant degrees but differ in daily tasks and work environments.

More about Full Time Mining Research jobs
What are the most commonly searched types of Mining Research jobs? The most popular types of Mining Research jobs are:
Infographic showing various Full Time Mining Research job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 87% Full Time, 9% Part Time, and 2% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $82,038 per year, or $39.4 per hour.

Research Scientist

Waabi

San Francisco, CA • On-site, Remote

$158K - $269K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 27 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.