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Environmental Engineering Research Jobs (NOW HIRING)

This individual will serve a key function in managing environmental/engineering projects and proposals, conducting engineering research and analysis, and supervising field investigations and ...

Langan provides expert land development engineering and environmental consulting services for major ... engineering research and analysis, and supervising field investigations and laboratory analysis. In ...

Langan provides expert land development engineering and environmental consulting services for major ... engineering research and analysis, and supervising field investigations and laboratory analysis. In ...

This individual will serve a key function in managing environmental/engineering projects and proposals, conducting engineering research and analysis, supervising field investigations and laboratory ...

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Environmental Engineering Research information

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$31K

$59.8K

$102K

How much do environmental engineering research jobs pay per year?

As of Jul 10, 2026, the average yearly pay for environmental engineering research in the United States is $59,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $71,000.00 per year, depending on experience, location, and employer.

What is an Environmental Engineering Research job?

An Environmental Engineering Research job involves studying and developing solutions to environmental challenges such as pollution, waste management, and sustainable resource use. Researchers in this field analyze data, conduct experiments, and design technologies to improve environmental quality and public health. They often work in academic institutions, government agencies, or private industries to advance knowledge and implement innovative engineering solutions.

What are the typical daily responsibilities of someone working in Environmental Engineering Research?

In Environmental Engineering Research, daily responsibilities often include designing experiments, collecting and analyzing environmental samples, using computer models to simulate environmental processes, and preparing technical reports or presentations. Researchers typically collaborate with multidisciplinary teams, such as scientists, engineers, and regulatory experts, to develop and test innovative solutions for issues like water treatment, pollution control, or sustainable development. The work often involves both laboratory and field components, offering variety and practical experience. Staying informed about emerging environmental regulations and new technologies is also a vital part of the job to ensure compliance and drive innovation.

What engineers make $500,000 a year?

Highly experienced environmental engineers working in senior management, consulting, or specialized roles can earn salaries approaching or exceeding $500,000 annually, especially with bonuses and profit sharing. Such compensation typically requires extensive expertise, advanced certifications, and leadership responsibilities in large organizations or projects.

Is there a high demand for environmental engineers?

Environmental engineering is a growing field due to increasing environmental concerns and regulations, leading to steady demand for environmental engineers. Job opportunities are often available in government agencies, consulting firms, and industries focused on sustainability and pollution control, with a need for skills in data analysis, environmental modeling, and regulatory compliance.

What engineers make $300,000 a year?

Senior environmental engineers with extensive experience, specialized expertise, or leadership roles can earn salaries approaching or exceeding $300,000 annually, especially in consulting firms or industries with high environmental impact. Achieving this level often requires advanced degrees, professional certifications, and a strong track record of project management and technical skills.

What engineers make $200,000 a year?

Environmental engineering research roles typically do not reach $200,000 annually; however, senior environmental engineers with extensive experience, advanced degrees, and specialized skills in areas like remediation or environmental management can earn salaries approaching or exceeding this amount, especially with bonuses and in high-cost-of-living regions. Leadership positions such as environmental engineering managers or consultants may also reach or surpass this salary level.

What are the key skills and qualifications needed to thrive in the Environmental Engineering Research position, and why are they important?

To thrive in Environmental Engineering Research, a strong background in environmental science, engineering principles, and data analysis is required, usually supported by an advanced degree in environmental or civil engineering. Familiarity with modeling software (such as MATLAB or AutoCAD), environmental monitoring instruments, and certifications like EIT (Engineer-in-Training) are valuable assets. Superior analytical thinking, problem-solving, and effective communication skills enable researchers to collaborate successfully and present findings. These competencies are essential for designing sustainable solutions, addressing environmental challenges, and advancing research initiatives.

More about Environmental Engineering Research jobs
What cities are hiring for Environmental Engineering Research jobs? Cities with the most Environmental Engineering Research job openings:
What states have the most Environmental Engineering Research jobs? States with the most job openings for Environmental Engineering Research jobs include:
Advanced Engineering & Research Intern

Advanced Engineering & Research Intern

Isuzu Motors America LLC

Plymouth, MI โ€ข On-site

$20 - $34/hr

Other

Posted 14 days ago


Job description

Isuzu Technical Center of America is seeking an Advanced Engineering & Research Intern to join its operations in Plymouth, MI, for Summer/Fall 2026. The selected candidate will be placed with a preferred agency for employment.
JOB SUMMARY
Supports advanced engineering and research for Level 4 autonomous driving by developing, evaluating, and applying multimodal AI models - including vision-language models (VLMs), vision-language-action models (VLAs), large language models (LLMs), and world models - for data triage, autonomous driving system development, simulation, and verification and validation (V&V). Works closely with Isuzu U.S. and Japan teams, well known autonomous driving partners, and research institutes to build AI-assisted workflows for mining on-road data, identifying edge cases, generating and curating scenarios, analyzing perception/prediction/planning behavior, and improving simulation-based safety evaluation. Works at the intersection of vehicle engineering, robotics, machine learning, data engineering, and safety assurance. Performs tasks of increasing complexity throughout the internship.
% of time spenton each activity
PRINCIPAL DUTIES & RESPONSIBILITIES
30%
1.
Researches, prototypes, and evaluates VLM, VLA, LLM, and world model approaches for automated data triage, semantic scene understanding, edge-case discovery, and autonomous vehicle safety analysis.
20%
2.
Analyzes multimodal on-road and simulation data (camera, LiDAR, radar, GPS/IMU, CAN, and system logs) to identify safety trends, model failure modes, and data-quality gaps.
20%
3.
Supports scenario mining, generation, and simulation V&V workflows to test autonomous driving perception, prediction, planning, and control behavior.
20%
4.
Collaborates with engineers to integrate AI model outputs into autonomous driving development tools, metrics, dashboards, and simulation pipelines.
10%
5.
Prepares and communicates technical findings, experiment results, and recommended next steps to teams across the U.S. and Japan.
6.
Performs miscellaneous job-related duties as assigned.
ORGANIZATIONAL RELATIONSHIPS
  • Reports to: Manager, Autonomous Driving & MBD

EDUCATION, EXPERIENCE & TRAINING
  • Currently enrolled in a Bachelor's, Master's, or Ph.D. program in Engineering, Computer Science, Data Science, Robotics, Artificial Intelligence/Machine Learning, or a related field
  • Academic focus or coursework in autonomous systems, ML/DL/RL, VLMs, VLAs, LLMs, generative AI, world models, computer vision, sensor fusion, vehicle dynamics, simulation, or V&V is preferred
  • Prior internship, research, or project experience with multimodal data, LLM/VLM evaluation, simulation, autonomous driving/robotics, or automotive systems is a plus, but not required
  • Strong academic standing (e.g., minimum 3.0 GPA or equivalent recommended, 3.5+ preferred)

KNOWLEDGE
  • Foundational understanding of data analysis, statistics, ML/DL/RL, model evaluation, and data curation for large-scale multimodal datasets
  • Basic knowledge of autonomous driving architecture, vehicle sensors, data logs, scenario-based testing, simulation V&V, and vehicle safety systems is a plus

SKILLS & ABILITIES
  • Strong analytical, research, and problem-solving skills
  • Proficiency in Python; familiarity with C++, Linux, Git, SQL, or data pipeline tools
  • Familiarity with ML and simulation tools (e.g., PyTorch, Hugging Face, OpenCV, ROS/ROS 2, CARLA, Simulink, or equivalent) is a plus
  • Ability to evaluate and document AI model behavior, limitations, safety implications, and V&V results
  • Effective communication; ability to work independently and collaboratively across U.S. and Japan teams

PHYSICAL STANDARDS
The employee must be able to access, enter, and retrieve data using a computer. This is primarily a sedentary position in a controlled office environment which requires only occasional reaching, stooping, and lifting of office files, reports or records, typically weighing 5 lbs. or less. Requires occasional light lifting (5-25 lbs) and on rare occasions, heavy lifting (60 lbs). Must be able on rare occasions to bend, crawl, climb, crouch, kneel and reach above shoulder level in the performance of job duties. Must be able to work in hot and cold weather extremes.
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