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Mining Engineer Internship Jobs in California (NOW HIRING)

AI Engineer

Pleasanton, CA

$116K - $159K/yr

... Energy, Mining, Aerospace, and Industrial Manufacturing. As an AI Engineer, you will play a ... Experience working on applied AI projects in academic, internship, or startup settings * Interest ...

... mining, and foundation models. Responsibilities: * Build and validate a closed-loop "long-tail data ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

... mining, and foundation models. Responsibilities: * Build and validate a closed-loop "long-tail data ... hour Our internship hourly rates are a standard pay determined based on the position and your ...

... mining, and more! We are currently hiring both full-time and interns to join our R&D team ... MS degree in computer science, engineering, or mathematics * 2-3 years of relevant experience in ...

... mining, and transport. Our systems are designed to understand, predict, and control the real world ... internship) software development experience * Strong foundation in classical control theory (PID ...

We are on a mission to make mining operations safer, smarter, and more efficient through cutting ... internship) software development experience * Strong foundation in motion planning algorithms

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ... mining architectures for massive physical datasets. • Strong familiarity with robotics data ...

Senior Machine Learning Engineer

San Francisco, CA · On-site

$144K - $190K/yr

Required : • 4+ years of non-internship professional MLE experience. • Deep expertise in ... mining architectures for massive physical datasets. • Strong familiarity with robotics data ...

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Mining Engineer Internship information

See California salary details

$32.6K

$88K

$140.1K

How much do mining engineer internship jobs pay per year?

As of Jul 31, 2026, the average yearly pay for mining engineer internship 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 is a Mining Engineer Internship job?

A Mining Engineer Internship is a temporary position designed to provide hands-on experience in the mining industry. Interns typically assist with mine planning, surveying, equipment operation analysis, and safety procedures under the supervision of experienced engineers. The role helps students or recent graduates apply theoretical knowledge to real-world mining operations while gaining industry exposure. It also offers opportunities to network with professionals and enhance technical skills for a future career in mining engineering.

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

To thrive as a Mining Engineer Intern, you need foundational knowledge in mining engineering principles, strong analytical skills, and coursework nearing completion of a relevant engineering degree. Familiarity with mining industry standard software such as AutoCAD, Surpac, or MineSight, as well as exposure to safety protocols and GIS systems, is highly valuable. Excellent teamwork, adaptability, and effective communication are key soft skills for collaborating with multidisciplinary teams and learning in the field. These competencies are vital because the role requires both technical problem-solving and the ability to work safely and efficiently alongside experienced engineers in dynamic, real-world mine environments.

What kind of hands-on experience can I expect during a Mining Engineer Internship?

As a Mining Engineer Intern, you'll typically gain practical experience through site visits, collecting and analyzing geological or production data, assisting with surveying, and supporting project planning or design tasks. You may work alongside engineers and technicians in both office and field settings, contributing to tasks like equipment inspections, safety assessments, and mapping projects. This exposure helps interns develop a comprehensive understanding of daily mining operations, safety procedures, and project management. You'll also have the opportunity to build important professional relationships and learn industry best practices, which can be invaluable for future career growth in mining engineering.

What are the most commonly searched types of Mining Engineer jobs in California? The most popular types of Mining Engineer jobs in California are:
What cities in California are hiring for Mining Engineer Internship jobs? Cities in California with the most Mining Engineer Internship job openings:
Infographic showing various Mining Engineer Internship job openings in California as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, and 3% Contract. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $88,015 per year, or $42.3 per hour.

Machine Learning Engineer Graduate (E-Commerce Supply Chain & Logistics) - 2026 Start (PhD)

TikTok

San Jose, CA • On-site

$156K - $316K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 4 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

106th of 241 rated software companies


Job description

Responsibilities
Team Introduction: Join the E-commerce Global Supply Chain and Logistics team at TikTok! We're enhancing the shopping experience and reducing logistics operational costs. We are seeking brilliant and motivated graduate software engineers, who are eager to apply their knowledge in machine learning (ML), operations research (OR), data mining, and statistical inference to real-world challenges. We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at our Company. Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume. Responsibilities: 1. Responsible for the development of deep learning and operations research models and related intelligent systems for the supply chain and logistics of the global E-Commerce business. 2. Utilize e-commerce big data and deep learning models to predict end-to-end estimated time of arrival (ETA), and some logistics events such as failed delivery, delivered but not received to enhance the user logistics experience. Build logistics network knowledge graphs and predict the spatio-temporal trajectory sequence of express packages through deep learning, statistical inference and other algorithmic methods. Use NLP and LLM algorithms to handle address problems such as address verification and address suggestion. 3. Utilize time series forecasting techniques to predict sales at different granularities and horizons, such as warehouse-level manpower forecasting, inventory-level demand forecasting etc. We need strong machine learning and deep learning skills to detect important factors and model the relationship between the future and history. 4. Participate in the growth of e-commerce merchants/creators, responsible for the growth algorithm of e-commerce merchants/creators, including potential merchants/creators mining algorithm, tiering algorithm, out-reach algorithm, growth algorithm, etc. Work closely with e-commerce merchants/creators related operations and product teams to achieve the high-quality growth goal of e-commerce merchants/creators. 5. Combined with massive e-commerce information, through data mining and machine learning, predict the performance of products in traffic/conversion, improve the efficiency of product operation strategy and pricing/subsidy strategy, and assist in optimizing traffic distribution, to satisfy the requirements of product growth, cost optimization and some other scenarios.
Qualifications
Minimum Qualifications: - Individuals who are completing or have recently completed a PhD degree in fields such as artificial intelligence, computer science, operations research, automation, statistics, mathematics, or related disciplines, with experience in data mining and deep learning. - Proficient in machine learning and statistics, familiar with the principles and model structures of common machine learning and deep learning algorithms for classification, regression, and clustering, with practical application experience. - Proficient in programming languages such as Python/Java, possessing excellent coding abilities, and familiar with at least one common machine learning/deep learning framework (TensorFlow/PyTorch etc.). - Demonstrates a spirit of exploration, outstanding data analysis capabilities, strong initiative, and excellent teamwork and communication skills. Preferred Qualifications: - Demonstrated software engineering experience from previous internship, work experience, coding competitions, or publications - Internship experience or research experience, especially in e-commerce, supply chain, logistics, and transportation. - Published papers at conferences such as KDD, NeurIPS, WWW, SIGIR, WSDM, ICML, IJCAI, AAAI, RecSys, or having participated in data mining/machine learning competitions.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $156000 - $316800 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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