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Mining Engineer Jobs in Detroit, MI (NOW HIRING)

Controls Engineer

Detroit, MI · On-site

$82K - $106K/yr

REQUIRED * Bachelor's degree in electrical engineering or related field. * Minimum 5 years of ... Knowledge of mining methods and in use and operation of related equipment. * Knowledge in the ...

Controls Engineer

Detroit, MI · On-site

$110K - $120K/yr

REQUIRED * Bachelor's degree in electrical engineering or related field. * Minimum 5 years of ... Knowledge of mining methods and in use and operation of related equipment. * Knowledge in the ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $180K/yr

... Engineers to help make it autonomous. We're not a software company selling tools to mining ... We are a mining company that builds software. Mariana designs, builds, commissions, and operates ...

Sr. Data Engineer

Ann Arbor, MI · On-site

$140K - $200K/yr

... Data Engineer to help make it autonomous. We're not a software company selling tools to mining ... We are a mining company that builds software. Mariana designs, builds, commissions, and operates ...

Data Mining, Data/Analytics dashboards, ALGORITHMS, Data/Analytics, Data Analysis, Data Science ... engineers, software engineers, and other data scientists to test pipelines, validate outputs, and ...

Controls Engineer

Troy, MI · On-site

$79K - $102K/yr

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

Controls Engineer

Troy, MI

$79K - $102K/yr

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

Controls Engineer

Troy, MI · On-site

$79K - $102K/yr

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

Controls Engineer

Troy, MI

$79K - $102K/yr

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

Our expertise spans robotic simulation, electrical and software engineering, and Industry 4.0 integration, serving clients across industries such as automotive, aerospace, mining, and alternative ...

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Showing results 1-20

Mining Engineer information

See Detroit, MI salary details

$30.2K

$81.6K

$129.9K

How much do mining engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for mining engineer in Detroit, MI is $81,602.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,800.00 and $99,700.00 per year, depending on experience, location, and employer.

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.

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 do you do as a mining engineer?

A mining engineer designs, plans, and oversees the extraction of minerals from the earth, ensuring safety and efficiency. They analyze geological data, develop mining methods, and manage operations using tools like CAD software, often working in remote or underground environments. Certification and knowledge of safety regulations are essential in this role.

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.

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 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.

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 compared to other engineering fields.
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 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 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $81,602 per year, or $39.2 per hour.

AIP Innovation Engineer - iDEA by Lear

Lear Corporation

Southfield, MI • On-site

Full-time

Re-posted 2 days ago


Lear Corporation rating

7.3

Company rating: 7.3 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

102nd of 156 rated electronics manufacturers


Job description

Lear For You
We work hard for the people who work for us. We champion our teams. We foster collaboration, inclusion, respect and excellence. What we are trying to say is we want to be more for you.
We are your path to a better career, a better future, and a better you.
Our teams have invented groundbreaking technologies, flawlessly manufactured millions of products and earned a long list of awards. Year after year, we are one of the World's Most Admired Companies.
Our teams are the secret to our success. They are empowered, inventive and inclusive. Passionate about their craft. Driven to succeed. Because we all understand that we must work together to win.
Are you ready for a better career? A better future?
We're Lear For You.
AIP INNOVATION ENGINEER - iDEA by Lear
SOUTHFIELD, MI WORLD HQ - (HYRBID)
About Lear and IDEA by Lear
Lear is a global Tier 1 automotive supplier of Seating and E-Systems. Through IDEA by Lear (Innovation, Digital, Engineering & Automation), we're executing a multiyear digital transformation powered by Palantir Foundry and Palantir AIP to unify data, accelerate automation, and scale AI driven decisioning across our business and plants worldwide.
We're building an elite team to turn this investment into impact. As an AIP Innovation Engineer, you'll be on the front line-accelerating our AI adoption by designing and delivering AI automation solutions that plug into our Foundry ecosystem (Foundry AIP) and deliver measurable outcomes.
Position Overview
The AIP Innovation Engineer is a hands on builder and visionary to demonstrate "what is possible" with AIP/AI/Agentic AI across existing and new Foundry solutions. You'll design, implement, and operationalize LLM/agent workflows, integrate internal and external data sources, and partner with Ontology Leads to shape data for maximum automation. This is not a "model only" role; it's an end to end engineering role that spans data ingestion → semantic grounding → agent design → apps/APIs → productionization-with intelligent monitoring, observability, and guardrails baked in.
We prefer Palantir experience (Foundry + AIP, features like AI FDE and AI Pilot), but will consider strong hands on candidates from adjacent toolchains who can quickly ramp.
Key Responsibilities
Agentic AI & AIP Enablement
  • Design and implement AIP agents and LLM backed workflows (prompt flows, tools, skills, policies) that are grounded in Foundry Ontology objects and feature sets.
  • Leverage and stay current on Palantir's platform innovations (e.g., AI FDE, AI Pilot), bringing forward the right capabilities at the right time.

Data & Integration Engineering
  • Identify opportunities via hands-on data work and analysis to drive necessary harmonization/transforms, and semantic grounding to support AI/ LLM-based solutions.
  • Identify internal and external integrations (partner data, supplier feeds, SaaS apps) with appropriate security, throttling, and resilience patterns to bring the right data together, securely to leverage AI.

Ontology Driven AI
  • Partner with Ontology Leaders to propose and refine ontology objects, relationships, and reusable semantics that unlock automation and cross use case reuse.
  • Influence data shaping required for RAG/grounding, action execution, reasoning chains, and multi-agent handoffs.

Reliability, Data Health & Guardrails
  • Collaborate with Data Quality Lead for intelligent monitoring: data quality checks, freshness, schema drift, lineage, latency SLOs, evals for LLM output quality, "red team" prompts, and safety guardrails.
  • Establish evaluation harnesses (offline/online) for agent workflows and prompts; track regression metrics and cost/performance KPIs.

Productionization & Performance
  • Build CI/CD pipelines, IaC where applicable, and observability (logs, traces, metrics) for AIP agents to ensure AIP agents and Foundry applications operate reliably at scale and can be quickly diagnosed, tuned, and improved.

Solution Delivery & Stakeholder Collaboration
  • Work closely with product owners, plant operations, quality, supply chain, and finance to scope high value use cases; rapidly deliver MVPs and iterate to scale.
  • Provide clear technical documentation, runbooks, and handoffs to operations teams.

Required Qualifications
  • 4+ years building production data/AI solutions (startup or enterprise); demonstrated hands on ownership from ingestion to deployment.
  • Strong experience with LLM/agentic systems: prompt design, tool/function calling, retrieval/grounding, safety policies, and evaluation.
  • Proficiency with at least two of: Python, TypeScript/JavaScript, PySpark; comfort with APIs, microservices, and event driven patterns.
  • Experience with Palantir Foundry and/or AIP (Ontology, pipelines, transformations, apps, agents). If not Palantir, deep experience with adjacent stacks (e.g., LangChain/LangGraph/CrewAI/AutoGen/Semantic Kernel; vector DBs; cloud AI services) and the ability to ramp to Palantir quickly.
  • Practical Data Quality & Observability experience (contracts, schema checks, lineage, alerts, evals) and a bias toward operational excellence.
  • Comfortable working without a mature EDW-able to roll up sleeves to wrangle messy data, define interim schemas, and harden pipelines.

Preferred Qualifications
  • Prior work integrating AI into manufacturing/industrial contexts (e.g., mapping to ISA-95 hierarchies, OEE, quality/NCR, routings, genealogy).
  • LLMOps/MLOps experience (MLflow, model registries, eval pipelines, CI/CD for prompts/agents).
  • Cloud experience (Azure/AWS) for scaling inference, storage, and data movement.
  • Familiarity with secure by design patterns: identity, access, secrets, PII handling, audit logging.

What You'll Do in Your First 90 Days
  • Ship 1-2 targeted AIP agent MVPs grounded on existing ontology objects and iterate using eval feedback.
  • Build or harden ingestion → delivery paths for a high value use case, including intelligent data health monitoring and simple cost/perf dashboards.
  • Partner with Ontology Leads to propose reusable object patterns that enable at least two additional AI use cases.

How We'll Measure Success
  • Time to first value for new AI use cases (from scoped to MVP in weeks, not months).
  • Reuse rate of agent tools, connectors, and ontology objects across teams.
  • Data health SLOs met (freshness, schema stability, error budget) and measurable improvements in LLM/agent eval metrics.
  • Production reliability (MTTR, incident count) and cost/performance improvements over baselines.

Why This Role is Different
  • It's not a pure research or model-only role-you'll build end-to-end systems where models, data, and software meet.
  • You'll help shape Lear's enterprise ontology to amplify automation and speed across solutions.
  • You'll be part of a high-performing team with executive sponsorship and a multi-year commitment to Foundry + AIP.

Nice to Have Experience (Translatable if not Palantir)
  • Built agentic AI systems using LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel.
  • Implemented RAG with hybrid retrieval, adaptive chunking, and domain-specific guardrails.
  • Designed distributed fine-tuning (e.g., QLoRA, instruction tuning) and stood up LLMOps/MLOps pipelines (MLflow, K8s, SageMaker, Ray).
  • Delivered document intelligence (multimodal parsing, extraction, validation) and operational AI (recommendation, anomaly detection, forecasting).

Lear Corporation is an Equal Opportunity Employer, committed to a diverse workplace.
Applicants must submit their resume for consideration using our applicant tracking system. Due to the high volume of applications received, only candidates selected for interviews will be contacted. Candidates must be legally authorized to work in the United States without sponsorship. Unsolicited resumes from search firms or employment agencies, or similar, will not be paid a fee and will become the property of Lear Corporation.
Location Code: 0090

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