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Machine Learning Water Resource Engineering Jobs

PMG & Associates

PR · On-site

$77K - $105K/yr

Stay updated on industry trends, regulations, and best water resource management practices. Requirements: * B.S. in Civil Engineering * M.S. in Water Resources preferred * Minimum cumulative GPA of 3 ...

PMG & Associates

Water Resources Engineer

San Juan, PR · On-site

$76K - $104K/yr

Stay updated on industry trends, regulations, and best water resource management practices. Requirements: * B.S. in Civil Engineering * M.S. in Water Resources preferred * Minimum cumulative GPA of 3 ...

GRW

Senior Water Resources Engineer

Nashville, TN

Strong technical background and experience in water resource engineering. Must be proficient at the execution of planning, design, bidding, and construction administration phases of water ...

GRW

Senior Water Resources Engineer

Lexington, KY

Strong technical background and experience in water resource engineering. Must be proficient at the execution of planning, design, bidding, and construction administration phases of water ...

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Machine Learning Water Resource Engineering information

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$29K

$93.9K

$133.5K

How much do machine learning water resource engineering jobs pay per year?

As of Jun 7, 2026, the average yearly pay for machine learning water resource engineering in the United States is $93,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,000.00 and $108,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Machine Learning Water Resource Engineer, and why are they important?

To thrive as a Machine Learning Water Resource Engineer, you need a solid background in hydrology, water resource engineering, and machine learning, often supported by a relevant degree in civil/environmental engineering or computer science. Experience with programming languages (such as Python or R), data analysis tools, hydrologic modeling software, and machine learning frameworks is highly valued. Strong problem-solving, analytical thinking, and communication skills help professionals interpret complex data and collaborate effectively with multidisciplinary teams. These skills are crucial for developing innovative solutions to water management challenges and ensuring effective, data-driven decision-making.

What is the difference between Machine Learning Water Resource Engineering vs Water Resources Engineer?

AspectMachine Learning Water Resource EngineeringWater Resources Engineer
Required CredentialsBachelor's or Master's in Computer Science, Data Science, or related fields; knowledge of machine learningBachelor's or Master's in Civil, Environmental Engineering, or related fields
Work EnvironmentResearch labs, tech companies, consulting firms focusing on data-driven solutionsGovernment agencies, consulting firms, environmental organizations managing water systems
Industry UsageDeveloping predictive models for water management, flood prediction, and resource optimizationDesigning water supply systems, flood control, and water quality management

While both roles involve water resources, Machine Learning Water Resource Engineering focuses on applying data science and machine learning techniques to water management challenges. Water Resources Engineers typically work on designing and managing water infrastructure. The two roles often collaborate but differ in technical focus and skill sets.

What is machine learning in water resource engineering?

Machine learning in water resource engineering refers to the use of advanced algorithms and data-driven models to analyze, predict, and optimize water-related systems. These methods help engineers forecast water demand, model hydrological processes, manage water quality, and optimize resource allocation. By leveraging large sets of environmental and operational data, machine learning improves decision-making and efficiency in managing water resources under changing environmental conditions.

How do professionals in Machine Learning Water Resource Engineering typically collaborate with experts from other fields?

Professionals in Machine Learning Water Resource Engineering frequently work in interdisciplinary teams, collaborating with hydrologists, civil engineers, data scientists, and environmental planners. These collaborations are essential for integrating domain-specific knowledge with advanced modeling techniques, ensuring that machine learning models accurately reflect real-world water systems. Effective communication and teamwork are crucial, as project success often depends on synthesizing diverse expertise to develop robust, scalable solutions for challenges like flood prediction, water quality monitoring, and resource management.
Project Water Resources Engineer

Project Water Resources Engineer

GEI Consultants

Ithaca, NY • Hybrid

$90K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 2 days ago

Job description

Description

Your role at GEI. 
 
GEI’s Ithaca, NY office is seeking a mid-level Water Resource Engineer/Planner. Under supervision of senior staff, this individual will provide support to ongoing field and office-related efforts for water resource related projects including watershed modeling, stormwater modeling, management and design, coastal/shoreline modeling, hydraulic hazard analyses, dam breach analyses and other water resource related projects.
 
Essential Responsibilities & Duties 
  • Lead project tasks with a team of knowledgeable registered civil engineers and flood management professionals.
  • Preparation of various water resources planning documents including Groundwater Sustainability Plans, Flood Protection Plans, Implementation Plans, Integrated Regional Water Management Plans, feasibility studies, Drought Contingency Plans, Emergency Action Plans, and others related flood and water conveyance infrastructure.
  • Support for clients pursing grant funding opportunities such as USBR Grants, DWR-based grant programs, and others.
  • Interpretation and synthesis of complex water resources modeling results.
  • Technical analysis related to flood system evaluation, floodplain-based flood system maintenance and operations, water supply and demand estimates and projections.
  • Collaborate with other team members, including structural engineers, and surveyors, to ensure design coherence.
  • Assist in preparation of proposals to provide professional services and assist in preparation of presentations and proposals to clients and regulators.
  • Support Project Managers by tracking budgets, client communications, and deliverables. 
Minimum Qualifications 
  • B.S. in Civil or Environmental Engineering, Environmental Science, Geology, or Water Resource related field.
  • 6+ years of previous professional experience in in water resource engineering/planning
  • Knowledge of NYSDEC environmental regulations a plus.  
  • Valid U.S. Driver’s license. 
  • Experience with H&H analysis software, such as USACE HEC software suite.  Experience with CAD and GIS software a plus. 
  • Excellent technical report writing and communication skills are required. 
  • Willingness and ability to travel on short-term assignments as needed. 
  • Willingness and ability to perform field tasks and oversight year-round, as required without restrictions.   
    We are GEI. 
     
    Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
     
    We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
     
    With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
     
    Employee-owned. Employee-focused.  
     
    As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
     
    GEI’s Total Rewards Package Includes 
    • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
    • Pay Range For This Position: $90,000.00 – $120,000.00/year 
    • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
    • Well-Being Program and Paid Parental Leave
    • Commuter Benefits
    • Hybrid Work Schedules and Cell Phone Stipends
    • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
    • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
    • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
    • Paid Holidays and Generous Paid Time Off Program
    • Rewards and Recognition
    • GEI-Funded Profit Sharing and 401(k)
    • Opportunity to be an Owner and Shareholder (Learn more here)
    • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
    • And More…
    PHYSICAL REQUIREMENTS 
    WORK ENVIRONMENT  
      
      
      
    Functional Demands:    
     
     
     
     
    Sedentary
    X 
    Light
     
    Medium
    Other
     
     
    Activity Level Throughout Workday (check one per row) 
    Physical Activity Requirements
    Occasional
    (0-35% of day)
    Frequent
    (33-66% of day)
    Continuous
    (67-100% of day)
    Not Applicable
    Sitting
     
     
    X 
     
    Standing
    X 
     
     
     
    Walking
    X 
     
     
     
    Climbing
     
     
     
    X 
    Lifting (floor to waist level) (in pounds)
     
     
     
    X 
    Lifting (waist level and above) (in pounds)
     
     
     
    X 
    Carrying objects
     
     
     
    X 
    Push/pull
     
     
     
    X 
    Twisting
     
     
     
    X 
    Bending
    X 
     
     
     
    Reaching forward
    X 
     
     
     
    Reaching overhead
     
     
     
    X 
    Squat/kneel/crawl
     
     
     
    X 
    Wrist position deviation
    X 
     
     
     
    Pinching/fine motor skills
    X 
     
     
     
    Keyboard use/repetitive motion
     
     
    X 
     
    Taste or smell (taste=never)
     
     
     
    X 
    Talk or hear
     
    X 
     
     
    Accurate 20/40 
    Very Accurate 20/20 
    Not Applicable
    Near Vision
     
    X 
    Far Vision
    X 
     
     
     

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