1

Mining Engineer Jobs in Detroit, MI (NOW HIRING)

Process Engineer

Dearborn, MI · On-site

$85 - $105/hr

This role is responsible for providing expertise in engineering, designs, and problem-solving ... The Company is vertically integrated from the mining of iron ore, production of pellets and direct ...

New

Must have an engineering degree from an accredited university or college. Preferred degrees in ... Must be familiar with high voltage (600v+) systems and PLC troubleshooting in industrial or mining ...

Process Engineer

Dearborn, MI · On-site

$90 - $120/hr

Provides engineering know-how in solving technical problems.Researches alternative solutions as ... The Company is vertically integrated from the mining of iron ore, production of pellets and direct ...

Electrical Engineer

Detroit, MI · On-site

$120K - $140K/yr

Must have an engineering degree from an accredited university or college. Preferred degrees in ... Must be familiar with high voltage (600v+) systems and PLC troubleshooting in industrial or mining ...

We are seeking a Principal AI Engineer with deep, hands-on experience in Large Language Models ... Background in data mining, analytics, or decision-support systems . * Experience with regression ...

... mining, and steel. With over 60 patents and 21,000 systems installed across 37 countries, Komline ... The Mechanical Engineer will focus on ensuring all design documentation related to the construction ...

ML Ops Engineer

Dearborn, MI · On-site

$48.50 - $66.50/hr

Data mining and advanced analytics experience * Strong troubleshooting and problem-solving skills ... Data engineering and data product development * Software development and production system delivery

Software Engineer

Ann Arbor, MI · On-site

$120 - $180/hr

Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture ... Meet our software engineers! Meet some of our software engineers who are shaping the future of ...

Showing results 21-40

Mining Engineer information

See Detroit, MI salary details

$32.7K

$88.3K

$140.6K

How much do mining engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for mining engineer in Detroit, MI is $88,288.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $107,900.00 per year, depending on experience, location, and employer.

What is a mining engineer?

Mining engineers are professionals who design, develop, and manage systems for extracting minerals from the earth safely, efficiently, and sustainably. They are involved in every stage of a mining project, from exploration and feasibility studies to mine design, operations, and closure. Mining engineers work to optimize the extraction process, ensure environmental compliance, and maintain the safety of workers and surrounding communities. Their expertise is critical in balancing economic, environmental, and technical factors in mining operations.

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

To thrive as a Mining Engineer, you need a solid background in mining engineering principles, geology, and mathematics, typically supported by a bachelor’s degree in mining engineering or a related field. Familiarity with mining software such as Surpac, MineSight, or AutoCAD, and relevant certifications like a Professional Engineer (PE) license, are often required. Strong problem-solving abilities, communication skills, and attention to safety help distinguish top performers in this role. These skills ensure efficient mine design, regulatory compliance, and safe, productive operations in complex mining environments.

What are some common challenges mining engineers face when working on-site, and how can they prepare for them?

Mining Engineers often encounter challenges such as adapting to remote or harsh work environments, ensuring compliance with rigorous safety regulations, and balancing productivity targets with environmental sustainability. Effective communication and collaboration with geologists, equipment operators, and environmental specialists are crucial for overcoming these challenges. Preparing by gaining hands-on experience, staying current with safety protocols, and developing strong problem-solving skills can help Mining Engineers succeed and adapt to dynamic site conditions.

What is the difference between Mining Engineer vs Geologist?

AspectMining EngineerGeologist
Required CredentialsBachelor's in Mining Engineering, Professional Engineer (PE) license often preferredBachelor's or Master's in Geology or Earth Sciences, relevant certifications
Work EnvironmentMining sites, construction sites, engineering officesResearch labs, field sites, environmental agencies
Industry UsageDesigning and managing mining operations, ensuring safety and efficiencyStudying earth materials, assessing mineral deposits, environmental impact

Mining Engineers focus on planning, designing, and managing mining operations, ensuring safety and efficiency. Geologists analyze earth materials and assess mineral deposits. While both roles work closely in the mining industry, Mining Engineers handle the operational side, whereas Geologists focus on exploration and analysis.

Are mining engineers paid well?

Mining engineers typically earn competitive salaries that reflect their technical expertise and the demanding nature of the industry. Salaries can vary based on experience, location, and the complexity of projects, with many earning above average wages for engineering roles. Additionally, benefits such as bonuses and overtime can contribute to overall compensation.

How much do mining engineers get paid?

Mining engineers typically earn a median annual salary of around $90,000, with salaries ranging from approximately $60,000 to over $130,000 depending on experience, location, and industry. Higher salaries are common in regions with active mining operations and for those with specialized skills or advanced certifications.

What do you do as a mining engineer?

A mining engineer designs, plans, and oversees the extraction of minerals from underground or surface mines. They evaluate geological data, develop safety procedures, and use specialized tools and software to optimize mining operations. The role often requires knowledge of environmental regulations and safety standards.

What are the most commonly searched types of Mining Engineer jobs in Detroit, MI?

The most popular types of Mining Engineer jobs in Detroit, MI are:

What are popular job titles related to Mining Engineer jobs in Detroit, MI?

For Mining Engineer jobs in Detroit, MI, the most frequently searched job titles are:

What job categories do people searching Mining Engineer jobs in Detroit, MI look for?

The top searched job categories for Mining Engineer jobs in Detroit, MI are:

What cities near Detroit, MI are hiring for Mining Engineer jobs?

Cities near Detroit, MI with the most Mining Engineer job openings:

Infographic showing various Mining Engineer job openings in Detroit, MI as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $88,288 per year, or $42.4 per hour.

Senior, ML Engineer - Auto Tagging

Torc Robotics

Ann Arbor, MI • On-site, Remote

$102K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 18 days ago


Job description

About the Company
At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer.
Meet The Team:
The Auto Tagger team is the engine behind our data flywheel, responsible for translating petabytes of raw, multi-modal vehicle data into a highly curated library of critical driving scenarios. By mining driving logs for long-tail events, we provide the foundational data required for safe autonomous trucking. Leveraging Pegasus logical layers, this team structures and catalogs findings into an observations database that directly accelerates development across autonomous perception, sensor fusion, and generative simulation testing.
What You'll Do:
  • Scenario Mining at Scale: Architect and optimize distributed data pipelines to process massive multi-sensor logs (camera, LiDAR, radar, kinematics), automatically extracting and cataloging safety-critical and long-tail driving events.
  • Advanced Event Tagging: Develop and tune both heuristic-based and ML-assisted algorithms (including exploring Vision-Language Models or semantic vector search) to automatically classify and describe complex environmental and behavioral scenarios.
  • Standardized Data Structuring: Extract and format scenario data utilizing the Pegasus layer standard (alongside opensource frameworks) to ensure semantic consistency and rigorous metadata integrity.
  • Data Flywheel Integration: Manage the ingestion of tagged events into the observations database, enabling high-speed querying and retrieval for ML training, regression testing, and system validation.
  • Cross-Functional Alignment: Operate with broad autonomy to drive consensus across organizational boundaries. Collaborate closely with downstream consumers in perception, simulation, and systems engineering to define what constitutes an "interesting scenario" and operationalize a continuous data loop.
  • Mentorship & Team Growth: Guide, mentor, and elevate less-experienced engineers. Lead design reviews, establish coding standards, and foster a culture of technical excellence and collaborative problem-solving.

What You'll Need to Succeed:
  • BS or MS in Computer Science, Robotics, Engineering, or a STEM field, with 6+ years in data engineering, ML systems, or autonomous data curation.
  • Core Languages: Strong Python and SQL skills, with heavy experience processing massive time-series or unstructured datasets.
  • ML & Dataset Curation: Hands-on machine learning and dataset curation experience, with a demonstrated history of implementing targeted datasets that measurably improve downstream model performance.
  • Data Exploration: Hands-on experience using Databricks (or similar platforms) for large-scale analytics, interactive querying, and making massive vehicle datasets searchable.
  • Cloud & Compute: Expertise in distributed compute frameworks (Ray, Spark, Beam) and cloud platforms (AWS, GCP, or Azure) for executing heavy data workloads.
  • AV Standards: Experience parsing complex data formats and applying scenario-description standards like Pegasus layers.
  • Communication: Exceptional ability to translate complex data engineering challenges into clear strategies for cross-functional stakeholders.
  • Technical Leadership: Proven track record of mentoring teams, driving system architecture, and defining engineering roadmaps.

Bonus Points!
  • Auto-labeling & VLMs: Familiarity with foundational models, auto-labeling pipelines, or zero-shot classification for scenario extraction.
  • Model Serving: Experience with vLLM, SGLang, or similar frameworks for highly optimized, high-throughput model serving and inference
  • Semantic Inference: Experience with semantic extraction and attribute mapping to help build out a robust semantic inference engine, moving beyond standard bounding-box object detection.
  • Data Tooling: Familiarity with parsing robotics formats (ROS bags, MCAP) and optimizing high-performance columnar storage formats (Parquet, Arrow).
  • Downstream Integration: Knowledge of how scenario data feeds into generative simulation workflows, neural rendering, or sensor fusion validation.
  • Advanced Retrieval: Experience building semantic retrieval systems or vector databases for automotive data.

Perks of Being a Torc'r
Torc cares about our team members and we strive to provide benefits and resources to support their health, work/life balance, and future. Our culture is collaborative, energetic, and team focused. Torc offers:
  • A competitive compensation package that includes a bonus component and stock options
  • 100% paid medical, dental, and vision premiums for full-time employees
  • 401K plan with a 6% employer match
  • Flexibility in schedule and generous paid vacation (available immediately after start date)
  • Company-wide holiday office closures
  • AD+D and Life Insurance

At Torc, we're committed to building a diverse and inclusive workplace. We celebrate the uniqueness of our Torc'rs and do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, veteran status, or disabilities. Even if you don't meet 100% of the qualifications listed for this opportunity, we encourage you to apply.
Our compensation reflects the cost of labor across several geographic markets. Pay is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Torc's total compensation package will also include our corporate bonus and stock option plan. Dependent on the position offered, sign-on payments, relocation, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits.
Job ID: R-102717
Hiring Range for Job Opening
US Pay Range
$177,300-$212,800 USD