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Remote Fresh Graduate Mining Engineer Jobs in Pennsylvania

HBK Engineering, LLC

Graduate Engineer

Norristown, PA · On-site +1

About this Role A Graduate Engineer at HBK Engineering is a position for engineering professionals ... Understanding of remote communication software * Ability to quickly come up to speed on in-process ...

HBK Engineering, LLC

Graduate Engineer

Philadelphia, PA · On-site +1

About this Role A Graduate Engineer at HBK Engineering is a position for engineering professionals ... Understanding of remote communication software * Ability to quickly come up to speed on in-process ...

Quanta Services

Graduate Engineer

Philadelphia, PA · On-site +1

A Graduate Engineer at HBK Engineering is a position for engineering professionals with ... Understanding of remote communication software * Ability to quickly come up to speed on in-process ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... S. in petroleum engineering, geomechanics, mechanical engineering, or a related field * Strong ...

Metso Outotec

Process Engineer

York, PA · On-site +1

This role is based in York, Pennsylvania, USA, with hybrid and remote working options available ... Minimum of 2 years of process engineering experience in mining, mineral processing, heavy industry ...

The Pennsylvania State University

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... AND POSITION REQUIREMENTS The Materials Science and Engineering department at The Pennsylvania ...

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All JobsFresh Graduate Mining Engineer JobsRemote Fresh Graduate Mining Engineer JobsRemote Fresh Graduate Mining Engineer Jobs in Pennsylvania

Remote Fresh Graduate Mining Engineer information

What does a remote fresh graduate mining engineer do?

A Remote Fresh Graduate Mining Engineer assists in the planning, design, and supervision of mining operations while working from a location outside the physical mine site, often from home or a remote office. Their tasks may include data analysis, preparing technical reports, using mining software, and collaborating with onsite teams to support efficient and safe mining activities. This role allows new graduates to apply their engineering knowledge and develop professional skills without being physically present at mining locations, which is increasingly common with advancements in digital technologies.

What are some common challenges faced by remote fresh graduate mining engineers, and how can they overcome them?

Remote fresh graduate mining engineers often encounter challenges such as limited on-site exposure, difficulty in building practical experience, and the need to communicate effectively with on-site teams. To overcome these challenges, it’s important to proactively seek virtual mentorship, participate in collaborative online projects, and make the most of remote training sessions. Developing strong digital communication skills and staying engaged with colleagues through regular video meetings can help bridge the gap between remote and on-site work, ensuring effective teamwork and professional development.

What are the key skills and qualifications needed to thrive as a remote fresh graduate mining engineer, and why are they important?

To thrive as a Remote Fresh Graduate Mining Engineer, you need a bachelor's degree in mining engineering or a related field, with strong knowledge of mining principles and safety regulations. Familiarity with mining software such as Surpac, AutoCAD, and GIS systems, as well as relevant safety certifications, is typically required. Strong analytical thinking, effective communication, and self-motivation are crucial soft skills, especially when collaborating remotely. These competencies ensure effective project contributions, adherence to safety standards, and efficient teamwork in a distributed work environment.

What is the difference between Remote Fresh Graduate Mining Engineer vs Remote Entry-Level Geologist?

AspectRemote Fresh Graduate Mining EngineerRemote Entry-Level Geologist
Required CredentialsBachelor's in Mining Engineering or related field, possibly certificationBachelor's in Geology or Earth Sciences, possibly certification
Work EnvironmentMining sites, exploration projects, remote field locationsField sites, exploration areas, remote locations
Industry UsageMining companies, mineral extraction firmsGeological consulting, exploration companies
Common Search/ComparisonYesYes

The main difference between a Remote Fresh Graduate Mining Engineer and a Remote Entry-Level Geologist lies in their focus areas. Mining engineers primarily plan and oversee extraction processes, while geologists analyze earth materials. Both roles often require similar educational backgrounds and work in remote or field environments, but their industry applications differ slightly, with mining engineers more involved in operational planning and geologists in exploration and analysis.

What are the most commonly searched types of Fresh Graduate Mining Engineer jobs in Pennsylvania?

The most popular types of Fresh Graduate Mining Engineer jobs in Pennsylvania are:

What are popular job titles related to Remote Fresh Graduate Mining Engineer jobs in Pennsylvania?

For Remote Fresh Graduate Mining Engineer jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Remote Fresh Graduate Mining Engineer jobs in Pennsylvania look for?

The top searched job categories for Remote Fresh Graduate Mining Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Remote Fresh Graduate Mining Engineer jobs?

Cities in Pennsylvania with the most Remote Fresh Graduate Mining Engineer job openings:

Remote Fresh Graduate Mining Engineer jobs near you
Infographic showing various Remote Fresh Graduate Mining Engineer job openings in Pennsylvania as of August 2026, with employment types broken down into 3% As Needed, 75% Full Time, 19% Part Time, and 3% Contract. Highlights an 97% Physical, and 3% Remote job distribution.

Machine Learning Engineer, Data Mining

Motional

Pittsburgh, PA • On-site, Remote

$144K - $192K/yr

Full-time

Re-posted 29 days ago

Job description

Mission Summary:
At Motional, we're transforming how autonomous vehicles discover critical intelligence hidden within petabytes of multimodal sensor data. Our next-generation autonomous driving stack depends on finding the rare edge cases, long-tail scenarios, and model errors that matter most. Omnitag, our ML-powered multimodal data mining framework, is the engine that powers this discovery.
As a Machine Learning Engineer on the Data Mining team, your mission is to help build the "Brain" of this engine. You will work with state-of-the-art foundation models to extract insights from Motional's driving data, working at the intersection of large-scale representation learning and data retrieval. By building smarter mining tools and efficient data pipelines, you will accelerate the model improvement lifecycle for teams working on post-training analysis, error diagnosis, and dataset curation.

What You'll Do:

  • Build and Train ML Pipelines: Develop, train, and fine-tune machine learning models for multimodal sensor data (e.g., vision, LiDAR). Focus on implementing supervised and self-supervised learning approaches to improve data search and retrieval.
  • Support Model Deployment: Implement scalable data preprocessing and augmentation pipelines. Assist in applying standard optimization techniques (e.g., batch inference, quantization) to ensure models run efficiently in production environments.
  • Data Mining & Analysis: Help develop embedding-based search tools and "active learning" workflows to identify critical driving scenarios.
  • Monitor Production Performance: Help build and maintain dashboards to monitor model health, data drift, and system performance. Identify regressions and assist in the operational support of our data mining services.
  • Learn and Apply Best Practices: Follow software engineering standards (version control, CI/CD, unit testing) for ML code. Participate in code reviews and contribute to technical documentation.
  • Collaborate Across Teams: Work closely with senior engineers and machine learning engineers to translate model prototypes into maintainable, scalable engineering solutions.

What We're Looking For (Must-Haves):

  • BS or MS in Computer Science, Machine Learning, or a related field.
  • Hands-on experience with PyTorch (preferred) or TensorFlow/JAX. You should be comfortable training models and evaluating them using standard metrics.
  • Strong proficiency in Python with the ability to write clean, modular, and well-documented code.
  • Working knowledge of version control, unit testing, and basic software design patterns.
  • Experience working with large datasets, including proficiency in SQL and data libraries like Pandas and NumPy.
  • A solid grasp of the full ML lifecycle, from data cleaning and feature engineering to validation and deployment basics.
  • A proactive learner who thrives on constructive feedback and is eager to grow within a high-stakes engineering environment.

Bonus Points (Nice-to-Haves):

  • MS/PhD in Computer Science, Machine Learning, or related field.
  • Experience with agentic systems, autonomous reasoning, chain-of-thought models, or LLM-based planning.
  • Background in autonomous driving, robotics, or real-time decision-making systems.
  • Familiarity with multimodal learning, sensor fusion, or embodied AI.
  • Experience building active learning loops, using the model to find the data that breaks the model.
  • Experience with ML-based data mining, active learning, or contrastive learning.
  • Knowledge of model serving tools (TF Serving, Triton, TorchServe) and MLOps platforms.
  • Publication in top-tier conferences (e.g., ICCV, CVPR, ECCV)

We encourage a hybrid schedule with in-office time at one of our locations in Boston, Pittsburgh, or Las Vegas to support collaboration, or this role can be fully remote.

The salary range for this role is an estimate based on a wide range of compensation factors including but not limited to specific skills, experience and expertise, role location, certifications, licenses, and business needs. The estimated compensation range listed in this job posting reflects base salary only. This role may include additional forms of compensation such as a bonus or company equity. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process.

Candidates for certain positions are eligible to participate in Motional's benefits program. Motional's benefits include but are not limited to medical, dental, vision, 401k with a company match, health saving accounts, life insurance, pet insurance, and more.

Salary Range
$144,000—$192,000 USD

Motional is a driverless technology company making autonomous vehicles a safe, reliable, and accessible reality. We're driven by something more.

Our journey is always people first.

We aren't just developing driverless cars; we're creating safer roadways, more equitable transportation options, and making our communities better places to live, work, and connect. Our team is made up of engineers, researchers, innovators, dreamers and doers, who are creating a technology with the potential to transform the way we move.

Higher purpose, greater impact.

We're creating first-of-its-kind technology that will transform transportation. To do so successfully, we must design for everyone in our cities and on our roads. We believe in building a great place to work through a progressive, global culture that is diverse, inclusive, and ensures people feel valued at every level of the organization. Diversity helps us to see the world differently; it's not only good for our business, it's the right thing to do.

Scale up, not starting up.

Our team is behind some of the industry's largest leaps forward, including the first fully-autonomous cross-country drive in the U.S, the launch of the world's first robotaxi pilot, and operation of the world's longest-standing public robotaxi fleet. We're driven to scale; we're moving towards commercialization of our technology, and we need team members who are ready to embrace change and challenges.

Formed as a joint venture between Hyundai Motor Group and Aptiv, Motional is fundamentally changing how people move through their lives. Headquartered in Boston, Motional has operations in the U.S and Asia. For more information, visit www.Motional.com and follow us on Twitter, LinkedIn, Instagram and YouTube.

Motional AD Inc. is an EOE. We celebrate diversity and are committed to creating an inclusive environment for all employees. To comply with Federal Law, we participate in E-Verify. All newly-hired employees are queried through this electronic system established by the DHS and the SSA to verify their identity and employment eligibility.