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Remote Mining Engineering Jobs in California (NOW HIRING)

This may include occasional remote work, starting the day with morning meetings from home before ... A Bachelor's degree in Computer Science, Software Engineering, or equivalent * 3+ years of ...

Remote : OK Job role: As a data analyst, you will be responsible for compiling actionable insights ... Bachelors or Masters in a quantitative field (such as Engineering, Statistics, Math, Economics, or ...

Depending on your expertise, you might design infrastructure in remote locations, develop renewable ... RESPEC, seeks a Water Resource Engineering Project Manager in our Water market sector, located in ...

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Remote Mining Engineering information

See California salary details

$32.6K

$88K

$140.1K

How much do remote mining engineering jobs pay per year?

As of Jun 15, 2026, the average yearly pay for remote mining engineering in California is $88,015.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $107,600.00 per year, depending on experience, location, and employer.

What are typical day-to-day responsibilities for a Remote Mining Engineer?

As a Remote Mining Engineer, your daily responsibilities may include designing mine layouts, analyzing geological data, creating production plans, and monitoring mining operations via specialized software tools. You’ll frequently collaborate with on-site engineers, geologists, and project managers through virtual meetings and report on project progress or safety concerns. Documenting findings, optimizing processes for efficiency, and ensuring regulatory compliance are also integral parts of the role. While you’ll work remotely, effective communication and timely response to on-site teams are critical for success. This setup allows for flexibility while still having a significant impact on mining operations and project outcomes.

What are the key skills and qualifications needed to thrive in the Remote Mining Engineering position, and why are they important?

To thrive as a Remote Mining Engineer, you need a strong background in mining engineering or a related field, paired with solid analytical and problem-solving skills. Proficiency in mining software (such as Surpac, Vulcan, or AutoCAD), experience with remote sensing technologies, and relevant certifications like a Professional Engineer (PE) license are commonly required. Strong communication, self-motivation, and effective time-management skills are essential for collaborating with on-site teams while working remotely. These competencies ensure safe, efficient mine planning and operations, even when working from off-site locations.

What is a Remote Mining Engineering job?

A Remote Mining Engineering job involves overseeing mining operations, designing efficient extraction methods, and ensuring safety, all while working remotely. Engineers use advanced software, remote monitoring tools, and data analysis to optimize mining activities without being physically present at the site. This role requires strong technical knowledge, communication skills, and the ability to collaborate with on-site teams. It is common in companies that use automated or teleoperated mining equipment.

What are the most commonly searched types of Mining Engineering jobs in California? The most popular types of Mining Engineering jobs in California are:
What job categories do people searching Remote Mining Engineering jobs in California look for? The top searched job categories for Remote Mining Engineering jobs in California are:
What cities in California are hiring for Remote Mining Engineering jobs? Cities in California with the most Remote Mining Engineering job openings:
Infographic showing various Remote Mining Engineering job openings in California as of June 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $88,015 per year, or $42.3 per hour.
Machine Learning Engineer- Remote

Machine Learning Engineer- Remote

Harbor Freight Tools

Calabasas, CA • On-site, Remote

$110K - $166K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 26 days ago


Job description

Job Description
The ML Engineer is responsible for the overall development, deployment, and support of our machine learning operations Harbor Freight. This includes the architecture and implementation of tools for model training, model monitoring, feature stores, model deployments, and model maintenance.
This role requires working with multiple levels of the organization, data science teams, application teams, security, software engineering, and business partners. It requires an experienced machine learning engineer with excellent business acumen, very strong technical skills, and data modeling / data warehousing expertise.
This position is technical and analytical in nature.
Duties and Responsibilities
  • Work closely with data scientists and IT in the development and implementation of our Enterprise AI platform.
  • Build and maintain an industry leading MLOps tech stack.
  • Mentor data scientists within the business, ensuring we're building best-in-class models.
  • Optimize the scalability, performance, and reliability of our models by implementing best practices and leveraging industry-standard technologies.
  • Streamline data ingestion, pre-processing, feature engineering, and model training workflows to improve efficiency and reduce latency.
  • Design, build, and maintain a secure and scalable CI/CD framework for data science teams.

Scope
  • Staff supervision and development: No
  • Decision making: Recommends policy and resolves problems
  • Travel: Up to 5%
  • Flex Designation: Anywhere

The anticipated salary range for this position is $110,800 - $166,100 depending on location, knowledge, skills, education and experience. This position is also eligible for an annual discretionary bonus. In addition, we offer comprehensive and competitive benefits to Associates (and their families) such as medical, dental, vision, life insurance, short-term and long-term disability. Eligible Associates are able to enroll in our company's 401k plan. Associates will accrue paid time off up to 236 hours per year (inclusive of PTO, floating holidays, and paid holidays). Paid sick time up to 80 hours per year unless otherwise required by law.
Requirements
Education and Experience
Education Requirements
  • Bachelor's in Computer Science, Mathematics, Statistics, Engineering, or a related field.
  • Master's degree or Ph.D. is a plus.

Years of Experience
  • 2-4 years experience as ML engineer or data scientist in a Big Data ecosystem, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on.
  • 2-4 years experience developing, tuning, operationalizing, and monitoring enterprise ML models at scale.
  • 2-4 years experience with public cloud platforms & systems (AWS, GCP, Azure).

Skills
  • Strong knowledge of distributed computing, data structures, data mapping, data warehouse, data mining, business analytics, software development, replication, and distributed/relational databases.
  • Strong technical expertise in scripting (Python) database languages (SQL), and PySpark for model development.
  • Excellent time management and planning skills, organized with the ability to multi-task, exceptional follow-up skills and able to meet deadlines.
  • Excellent written, oral, and interpersonal communication skills, with ability to communicate effectively.
  • Experience to tracking projects and goals to successful completion (with visible metrics).
  • Ability to stay abreast of significant technological developments that may impact the business.
  • Equipped to effectively prioritize, collaborate and excel in a fast-paced, high-pressure environment.
  • Highly self-motivated, self-directed, and attentive to detail, with an emphasis on accuracy, detail, and timeliness.
  • Understanding and experience with project management methodologies.
  • Ability to manage multiple projects concurrently.

Physical Requirements
General office environment requiring ability to:
  • Stand, walk, sit for extended periods of time.
  • Speak and listen to others in person and over the phone and video conferencing.
  • Use keyboard and read from computer screen and reports.
  • The ability to lift up to 15 lbs.

Safety
  • Must be able to perform this job safely in accordance with standard operating procedures and good manufacturing practices, without endangering the health or safety of self or others.

About Harbor Freight Tools
We're a 45 year-old, $8 billion national tool retailer with the energy, enthusiasm, and growth potential of a start-up. We have over 1,600 stores in 48 states across the country and are opening several new locations every week. We offer our customers more than 7,000 tools and accessories, from hand tools and generators to air and power tools, from shop equipment to automotive tools. We provide our customers with the right tool for the right job at the right price, always delivering quality and value.