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Mining Technology Jobs in California (NOW HIRING)

3M HEALTHCARE

Applied Value Engineer

Redwood City, CA · On-site

$161.25 - $191.25/hr

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world's fastest-growing enterprise SaaS companies, we are changemakers pushing the ...

Celonis

Senior Value Engineer - Public Sector

Redwood City, CA · On-site

$67.75 - $87.25/hr

Celonis is the global leader in Process Intelligence and the pioneer of Process Mining technology. As one of the world's fastest-growing enterprise SaaS companies, we are changemakers pushing the ...

Mariana Minerals

Metallurgical Engineer

San Francisco, CA · On-site

$100K - $140K/yr

You will work alongside experienced engineers and technicians supporting our bioleaching columns and other pilot-scale equipment used to develop new mining technologies. In this role, you will ...

Mariana Minerals

Metallurgical Engineer

San Francisco, CA · On-site

$130 - $180/hr

You will work alongside experienced engineers and technicians supporting our bioleaching columns and other pilot-scale equipment used to develop new mining technologies. In this role, you will ...

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Mining Technology information

See California salary details

$17

$26

$33

How much do mining technology jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for mining technology in California is $26.48, according to ZipRecruiter salary data. Most workers in this role earn between $23.03 and $29.42 per hour, depending on experience, location, and employer.

What is a mining technology?

A Mining Technology job involves using advanced tools, software, and automation to improve mining operations' safety, efficiency, and productivity. Professionals in this field work with innovations like GPS tracking, automated drilling systems, and data analytics to optimize resource extraction. They may collaborate with engineers, data scientists, and equipment operators to implement smart mining solutions. These roles are crucial in modernizing the industry while ensuring environmental and safety compliance.

What are the key skills and qualifications needed to thrive in mining technology, and why are they important?

To excel in Mining Technology, individuals typically require a background in engineering or geoscience, strong analytical problem-solving skills, and technical training in mining operations. Familiarity with mining software (such as Surpac or MineSight), GIS tools, and automation systems is highly valued, as is certification in mine safety standards. Excellent communication, teamwork, and adaptability are important soft skills for working in dynamic mine environments. These skills are crucial to ensuring efficient, safe, and innovative mining processes that meet industry standards and operational goals.

What are the common challenges faced by professionals in mining technology roles?

One of the main challenges in Mining Technology is keeping up with rapidly changing digital tools and automation systems that transform traditional mining operations. Professionals often work in remote or physically demanding environments, which requires adaptability and a strong commitment to safety protocols. They must also troubleshoot technical issues in real time and collaborate closely with engineers, geologists, equipment operators, and management teams to optimize productivity. Despite these challenges, a career in Mining Technology offers excellent opportunities for growth, innovation, and advancement within the mining sector.

What are popular job titles related to Mining Technology jobs in California?

For Mining Technology jobs in California, the most frequently searched job titles are:

What job categories do people searching Mining Technology jobs in California look for?

The top searched job categories for Mining Technology jobs in California are:

Mining Technology jobs near you
Infographic showing various Mining Technology job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $55,088 per year, or $26.5 per hour.

Software Engineer (SE / Sr SE), Applied ML & Data Mining

PlusAI

Santa Clara, CA • On-site

$130K - $220K/yr

Full-time

Posted 21 days ago

Job description

Finding the right data is central to improving autonomous-driving models. Among petabytes of fleet data, you will develop methods that identify and rank the most valuable moments for training and evaluation, then turn those methods into reliable tools that autonomy and ML engineers use to search, review, and curate datasets. You will work at the intersection of applied machine learning, information retrieval, large-scale data processing, and product engineering. We welcome candidates with ML or data-mining foundations who are excited to grow across scalable systems and the product stack.
We are open to candidates at either the Software Engineer or Senior Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.
Responsibilities:
  • Develop and evaluate mining, retrieval, and ranking methods using signals such as model confidence, disagreement, embeddings, anomalies, temporal behavior, and learned representations
  • Build and evolve semantic image/video/scenario search, including text-to-image/video and image-to-image or video-to-video retrieval, vector search, metadata and temporal or spatial filters, task-specific ranking, and search quality, freshness, latency, and reliability
  • Build and operate distributed mining, inference, and indexing pipelines over fleet-scale imagery, video, time-series, and autonomy-system data, including GPU batch inference, embedding generation, reproducible candidate datasets, and reliable index refreshes
  • Design and ship mining products end to end: Python APIs and services, relational data models, asynchronous jobs, modern TypeScript/React search and review experiences, deployment, access control, testing, observability, and production reliability
  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts

Required Skills:
  • BS, MS, or PhD in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience
  • Hands-on experience developing and evaluating machine-learning, data-mining, computer-vision, or information-retrieval methods with a framework such as PyTorch or TensorFlow, including experimentation, error analysis, and principled metrics
  • Foundations for data-centric machine learning: an understanding of model uncertainty and evaluation, embeddings and similarity search, and how training-data composition shapes model behavior
  • Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end

Preferred Skills:
  • Production full-stack experience spanning backend services and REST APIs, relational data modeling and SQL, and modern JavaScript or TypeScript frontend development using React or a comparable framework
  • Experience improving models through data - training or fine-tuning, active learning and data flywheels, hard-example mining, uncertainty or disagreement signals, dataset curation - ideally in autonomous driving, robotics, or perception
  • Experience with embedding and multimodal models (CLIP-style models, VLMs), vector databases (Milvus, FAISS, pgvector), or GPU batch inference at scale

$130,000 - $220,000 a year
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.

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