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Mining Engineer Intern Jobs in California (NOW HIRING)

SAS Intern

El Centro, CA · Hybrid

$32.16/hr

Knowledge of best practices when making decisions regarding data programming, data mining and creating organized data outputs from various data information systems. * Experience leading projects ...

Machine Learning Engineer- GenAI

San Diego, CA · On-site

$150.40 - $277.60/hr

Minimum Qualifications * 3+ years experience in GenAI applications, machine learning algorithms, software engineering, and data mining models with an emphasis on large language models (LLM) or large ...

Showing results 41-60

Mining Engineer Intern information

What does a mining engineer intern do?

A Mining Engineer Intern assists professional mining engineers with the planning, design, and operation of mines. Typical duties include collecting and analyzing geological data, assisting with mine planning and safety assessments, and supporting environmental compliance efforts. Interns often work on-site to gain hands-on experience with surveying, equipment monitoring, and process optimization. The role provides exposure to both fieldwork and office-based tasks, helping interns apply classroom knowledge to real-world mining challenges.

What skills and qualifications are needed to thrive as a mining engineer intern?

To thrive as a Mining Engineer Intern, you need a solid understanding of mining engineering principles, geology, and safety standards, typically supported by progress toward a relevant engineering degree. Familiarity with technical tools such as CAD software, mine planning systems, and GIS mapping is often required. Strong analytical thinking, problem-solving abilities, teamwork, and effective communication are essential soft skills for success in this role. These skills and qualities are crucial for ensuring safe, efficient mining operations and effective collaboration within multidisciplinary teams.

What types of projects and tasks can a mining engineer intern expect to work on during their internship?

As a Mining Engineer Intern, you can expect to be involved in a variety of hands-on and analytical projects, such as assisting with mine design, conducting site surveys, supporting safety assessments, and analyzing production data. Interns often collaborate closely with senior engineers, geologists, and environmental specialists, gaining exposure to both fieldwork and office-based planning. This role provides a unique opportunity to apply classroom knowledge in real-world settings, learn industry-standard software, and develop problem-solving skills crucial for a future engineering career.

What is the difference between Mining Engineer Intern vs Mining Engineer?

AspectMining Engineer InternMining Engineer
Required CredentialsTypically pursuing a bachelor's degree in mining engineering or related field; internship or co-op experienceBachelor's degree in mining engineering; professional licensure may be required for certain roles
Work EnvironmentSupervised, entry-level environment often on-site at mining locations or officesFull-time, professional role on-site or office-based, overseeing mining operations
Employer & Industry UsageInternships offered by mining companies, engineering firms, or universitiesMining companies, consulting firms, or government agencies

The main difference between a Mining Engineer Intern and a Mining Engineer is experience level and responsibility. Interns are in training, gaining practical experience, while Mining Engineers are fully responsible for planning, designing, and overseeing mining operations.

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 Intern jobs?

Cities in California with the most Mining Engineer Intern job openings:

Infographic showing various Mining Engineer Intern job openings in California as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution.

Research Intern, User Modeling and Personalization

Snapchat

Los Angeles, CA

Full-time

Medical

Posted 8 days ago


Job description

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together.


The Company operates Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world, and Specs Inc., a wholly-owned subsidiary dedicated to making computing more human, in addition to Bitmoji, Saturn, and other digital services.


We are looking for a Research Scientist Intern to join our User Modeling and Personalization Research Team! Our team's mission is to invent new ways to model user behavior, and empower our business partners to build world-class user-centric ML systems which shape personalized experiences across Snap. Our work spans the domains of structured data modeling, recommendation systems, and large-scale machine learning. Together with you, we seek to redefine the state-of-the-art in technology to deliver our users customized experiences which delight them.

What you'll do:

  • Lead research projects in the user modeling and personalization domains (sub-areas include graph modeling, generative recommendation, personalization, and ML efficiency)

  • Build scalable research prototypes and evaluate them in large-scale machine learning scenarios

  • Publish your findings at top conferences

Knowledge, Skills, & Abilities:

  • Strong technical knowledge of state-of-the-art ML algorithms in one or more above sub-areas

  • Demonstrated ability in defining, leading and executing challenging research projects

  • Strong computer science fundamentals, problem-solving and engineering skills

  • Proven ability to mentor interns, students and junior researchers

Minimum Qualifications:

  • Currently enrolled in a PhD program in a technical field such as computer science, machine learning, statistics, mathematics, or equivalent years of experience

  • Track record of (co-)first-author publications in top machine learning, data mining, information retrieval or language venues (e.g. KDD, WSDM, SIGIR, RecSys, ACL, ICLR, NeurIPS, COLM etc.)

  • Strong familiarity with ML libraries such as PyTorch, Tensorflow, Jax or related frameworks

  • Experience with distributed (multi-GPU, or multi-node) model training, inference and experimentation; experience with large-scale settings in academic/industrial research labs is a plus


Preferred Qualifications:

  • Experience with large-scale machine learning in an academic or industrial research lab, or equivalent open-source experience

  • Experience with distributed data processing and machine learning frameworks on Enterprise Cloud solutions like Google Cloud, AWS, and/or Azure

  • Familiarity with language models and generative recommendation and retrieval

  • Demonstrated ability to transform cutting-edge research into tangible product improvements

  • Specialization and hands-on experience with state-of-the-art recommendation models and scalable machine learning technologies

If you have a disability or special need that requires accommodation, please don't be shy and provide us some information.

"Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week.

At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets.

We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable).

Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success!

Compensation

In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future.

Zone A (CA, WA, NYC):

The base salary range for this position is $81,000-$121,000 annually.


Zone B:

The base salary range for this position is $77,000-$115,000 annually.

Zone C:

The base salary range for this position is $69,000-$103,000 annually.